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Awesome Interaction-Aware Behavior and Trajectory Prediction

Awesome Version LastUpdated Topic

This is a checklist of state-of-the-art research materials (datasets, blogs, papers and public codes) related to trajectory prediction. Wish it could be helpful for both academia and industry. (Still updating)

Maintainers: Jiachen Li (Stanford University); Hengbo Ma, Jinning Li (University of California, Berkeley)

Emails: jiachen_li@stanford.edu; {hengbo_ma, jinning_li}@berkeley.edu

Please feel free to pull request to add new resources or send emails to us for questions, discussion and collaborations.

Note: Here is also a collection of materials for reinforcement learning, decision making and motion planning.

Please consider citing our work if you found this repo useful:

@inproceedings{li2020evolvegraph,
  title={EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning},
  author={Li, Jiachen and Yang, Fan and Tomizuka, Masayoshi and Choi, Chiho},
  booktitle={2020 Advances in Neural Information Processing Systems (NeurIPS)},
  year={2020}
}

@inproceedings{li2019conditional,
  title={Conditional Generative Neural System for Probabilistic Trajectory Prediction},
  author={Li, Jiachen and Ma, Hengbo and Tomizuka, Masayoshi},
  booktitle={2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={6150--6156},
  year={2019},
  organization={IEEE}
}

Table of Contents

Datasets

Vehicles and Traffic

Dataset Agents Scenarios Sensors
Waymo Open Dataset vehicles / cyclists / people urban / highway LiDAR / camera / Radar
Argoverse vehicles / cyclists / people urban / highway LiDAR / camera / Radar
nuScenes vehicles urban camera / LiDAR / Radar
highD vehicles highway camera
inD vehicles highway camera
roundD vehicles highway camera
BDD100k vehicles / cyclists / people highway / urban camera
KITTI vehicles / cyclists / people highway / rural areas camera / LiDAR
NGSIM vehicles highway camera
INTERACTION vehicles / cyclists / people roundabout / intersection camera
Cyclists cyclists urban camera
Apolloscapes vehicles / cyclists / people urban camera
Udacity vehicles urban camera
Cityscapes vehicles / people urban camera
Stanford Drone vehicles / cyclists / people urban camera
Argoverse vehicles / people urban camera / LiDAR
TRAF vehicles / buses / cyclists / bikes / people / animals urban camera
Aschaffenburg Pose Dataset cyclists / people urban camera

Pedestrians

Dataset Agents Scenarios Sensors
UCY people zara / students camera
ETH (ICCV09) people urban camera
VIRAT people / vehicles urban camera
KITTI vehicles / cyclists / people highway / rural areas camera / LiDAR
ATC people shopping center Range sensor
Daimler people from moving vehicle camera
Central Station people inside station camera
Town Center people urban street camera
Edinburgh people urban camera
Cityscapes vehicles / people urban camera
Argoverse vehicles / people urban camera / LiDAR
Stanford Drone vehicles / cyclists / people urban camera
TrajNet people urban camera
PIE people urban camera
ForkingPaths people urban / simulation camera
TrajNet++ people urban camera
Aschaffenburg Pose Dataset cyclists / people urban camera
Cyclist Top-View Dataset (CTV) cyclists / people urban camera

Sport Players

Dataset Agents Scenarios Sensors
Football people football field camera
NBA SportVU people basketball Hall camera
NFL people American football camera

Literature and Codes

Survey Papers

  • Machine Learning for Autonomous Vehicle’s Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions, arXiv preprint arXiv:2307.07527, 2023. [paper]
  • Incorporating Driving Knowledge in Deep Learning Based Vehicle Trajectory Prediction: A Survey, IEEE T-IV, 2023. [paper]
  • Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic Review, IEEE T-ITS, 2023. [paper]
  • A Survey on Trajectory-Prediction Methods for Autonomous Driving, IEEE T-IV 2022. [paper]
  • A Survey of Vehicle Trajectory Prediction Based on Deep Learning Models, International Conference on Sustainable Expert Systems, ICSES 2022. [paper]
  • Scenario Understanding and Motion Prediction for Autonomous Vehicles – Review and Comparison, IEEE T-ITS, 2022. [paper]
  • Multi-modal Fusion Technology based on Vehicle Information: A Survey, arXiv preprint arXiv:2211.06080, 2022. [paper]
  • Deep Reinforcement Learning for Autonomous Driving: A Survey, IEEE T-ITS, 2022. [paper]
  • Social Interactions for Autonomous Driving: A Review and Perspective, arXiv preprint arXiv:2208.07541, 2022. [paper]
  • Generative Adversarial Networks for Spatio-temporal Data: A Survey, ACM T-IST, 2022. [paper]
  • Behavioral Intention Prediction in Driving Scenes: A Survey, arXiv preprint arXiv:2211.00385, 2022. [paper]
  • A Survey on Motion Prediction of Pedestrians and Vehicles for Autonomous Driving, IEEE Access, 2021. [paper]
  • Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches, arXiv preprint arXiv:2111.06740, 2021. [paper]
  • A Survey on Trajectory Data Management, Analytics, and Learning, CSUR 2021. [paper]
  • Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features, IEEE T-ITS, 2021. [paper]
  • A Review of Deep Learning-Based Methods for Pedestrian Trajectory Prediction, Sensors, 2021. [paper]
  • A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving, ROBIO 2021. [paper] [code]
  • A Survey of Deep Learning Techniques for Autonomous Driving, Journal of Field Robotics, 2020. [paper]
  • Human Motion Trajectory Prediction: A Survey, International Journal of Robotics Research, 2020. [paper]
  • Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies, arXiv preprint arXiv:2006.06091, 2020. [paper]
  • A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving, Computer Graphics Forum 2020. [paper]
  • Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review, IEEE T-ITS 2020. [paper]
  • Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles, IEEE T-ITS 2020. [paper]
  • Vehicle Trajectory Similarity: Models, Methods, and Applications, ACM Computing Surveys (CSUR 2020). [paper]
  • Modeling and Prediction of Human Driver Behavior: A Survey, 2020. [paper]
  • A literature review on the prediction of pedestrian behavior in urban scenarios, ITSC 2018. [paper]
  • Survey on Vision-Based Path Prediction. [paper]
  • Autonomous vehicles that interact with pedestrians: A survey of theory and practice. [paper]
  • Trajectory data mining: an overview. [paper]
  • A survey on motion prediction and risk assessment for intelligent vehicles. [paper]

Physics Systems with Interaction

  • Learning Physical Dynamics with Subequivariant Graph Neural Networks, NeurIPS 2022. [paper] [code]
  • EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning, NeurIPS 2020. [paper]
  • Interaction Templates for Multi-Robot Systems, IROS 2019. [paper]
  • Factorised Neural Relational Inference for Multi-Interaction Systems, ICML workshop 2019. [paper] [code]
  • Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video, 2019. [paper]
  • Neural Relational Inference for Interacting Systems, ICML 2018. [paper] [code]
  • Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks, UAI 2018. [paper]
  • Relational inductive biases, deep learning, and graph networks, 2018. [paper]
  • Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions, ICLR 2018. [paper]
  • Graph networks as learnable physics engines for inference and control, ICML 2018. [paper]
  • Flexible Neural Representation for Physics Prediction, 2018. [paper]
  • A simple neural network module for relational reasoning, 2017. [paper]
  • VAIN: Attentional Multi-agent Predictive Modeling, NeurIPS 2017. [paper]
  • Visual Interaction Networks, 2017. [paper]
  • A Compositional Object-Based Approach to Learning Physical Dynamics, ICLR 2017. [paper]
  • Interaction Networks for Learning about Objects, Relations and Physics, 2016. [paper][code]

Intelligent Vehicles & Traffic & Pedestrians

  • Diffusion-Based Environment-Aware Trajectory Prediction, arXiv preprint arXiv:2403.11643, 2024. [paper]
  • MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs, IEEE T-IV 2023. [paper] [code]
  • MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion, CVPR 2023. [paper]
  • Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction, CVPR 2023. [paper]
  • Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction, CVPR 2023. [paper] [code]
  • Planning-oriented Autonomous Driving, CVPR 2023. [paper] [code]
  • IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction, CVPR 2023. [paper]
  • Stimulus Verification is a Universal and Effective Sampler in Multi-modal Human Trajectory Prediction, CVPR 2023. [paper]
  • Query-Centric Trajectory Prediction, CVPR 2023. [paper] [code] [QCNeXt]
  • FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction, CVPR 2023. [paper]
  • Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion, CVPR 2023. [paper] [website]
  • FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs, CVPR 2023. [paper] [website]
  • Leapfrog Diffusion Model for Stochastic Trajectory Prediction, CVPR 2023. [paper] [code]
  • ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries, CVPR 2023. [paper] [website]
  • EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning, CVPR 2023. [paper] [code]
  • V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting, CVPR 2023. [paper] [code]
  • Weakly Supervised Class-agnostic Motion Prediction for Autonomous Driving, CVPR 2023. [paper]
  • Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction, CVPR 2023. [paper]
  • HumanMAC: Masked Motion Completion for Human Motion Prediction, ICCV 2023. [paper] [code]
  • BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction, ICCV 2023. [paper] [code]
  • EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting, ICCV 2023. [paper] [code]
  • ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation, ICCV 2023. [paper] [code]
  • PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird’s-Eye View, IJCAI 2023. [paper] [code]
  • Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction, AAAI 2023. [paper]
  • Multi-stream Representation Learning for Pedestrian Trajectory Prediction, AAAI 2023. [paper]
  • Continuous Trajectory Generation Based on Two-Stage GAN, AAAI 2023. [paper] [code]
  • A Set of Control Points Conditioned Pedestrian Trajectory Prediction, AAAI 2023. [paper] [code]
  • Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction, ICLR 2023. [paper]
  • TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios, ICRA 2023. [paper] [code]
  • GANet: Goal Area Network for Motion Forecasting, ICRA 2023. [paper] [code]
  • TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving, ICRA 2023. [paper]
  • SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving, CoRL 2023. [paper] [code]
  • LimSim: A Long-term Interactive Multi-scenario Traffic Simulator, ITSC 2023. [paper] [code]
  • MVHGN: Multi-View Adaptive Hierarchical Spatial Graph Convolution Network Based Trajectory Prediction for Heterogeneous Traffic-Agents, TITS. [paper]
  • Adaptive and Simultaneous Trajectory Prediction for Heterogeneous Agents via Transferable Hierarchical Transformer Network, TITS. [paper]
  • SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction, TNNLS. [paper] [code]
  • Disentangling Crowd Interactions for Pedestrians Trajectory Prediction, RAL. [paper]
  • VNAGT: Variational Non-Autoregressive Graph Transformer Network for Multi-Agent Trajectory Prediction, IEEE Transactions on Vehicular Technology. [paper]
  • Spatial-Temporal-Spectral LSTM: A Transferable Model for Pedestrian Trajectory Prediction, TIV. [paper]
  • Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehicles, PR. [paper]
  • Tri-HGNN: Learning triple policies fused hierarchical graph neural networks for pedestrian trajectory prediction, PR. [paper]
  • Multimodal Vehicular Trajectory Prediction With Inverse Reinforcement Learning and Risk Aversion at Urban Unsignalized Intersections, TITS. [paper]
  • Trajectory prediction for autonomous driving based on multiscale spatial‐temporal graph, IET Intelligent Transport Systems. [paper]
  • Social Self-Attention Generative Adversarial Networks for Human Trajectory Prediction, IEEE Transactions on Artificial Intelligence. [paper]
  • CSIR: Cascaded Sliding CVAEs With Iterative Socially-Aware Rethinking for Trajectory Prediction, TITS. [paper]
  • Multimodal Manoeuvre and Trajectory Prediction for Automated Driving on Highways Using Transformer Networks, RAL. [paper]
  • A physics-informed Transformer model for vehicle trajectory prediction on highways, Transportation Research Part C: Emerging Technologies. [paper] [code]
  • MacFormer: Map-Agent Coupled Transformer for Real-time and Robust Trajectory Prediction, RAL. [paper]
  • MRGTraj: A Novel Non-Autoregressive Approach for Human Trajectory Prediction, TCSVT. [paper] [code]
  • Planning-inspired Hierarchical Trajectory Prediction via Lateral-Longitudinal Decomposition for Autonomous Driving, TIV. [paper]
  • Traj-MAE: Masked Autoencoders for Trajectory Prediction, arXiv preprint arXiv:2303.06697, 2023. [paper]
  • Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion, arXiv preprint arXiv:2303.08367, 2023. [paper]
  • Diffusion Model for GPS Trajectory Generation, arXiv preprint arXiv:2304.11582, 2023. [paper]
  • Multiverse Transformer: 1st Place Solution for Waymo Open Sim Agents Challenge 2023, CVPR 2023 Workshop on Autonomous Driving. [paper] [website]
  • Joint-Multipath++ for Simulation Agents: 2nd Place Solution for Waymo Open Sim Agents Challenge 2023, CVPR 2023 Workshop on Autonomous Driving. [paper] [code]
  • MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying, 1st Place Solution for Waymo Open Motion Prediction Challenge 2023, CVPR 2023 Workshop on Autonomous Driving. [paper] [code]
  • GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving, arXiv preprint arXiv:2303.05760, 2023. [paper] [code] [website]
  • GameFormer Planner: A Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles, the nuPlan Planning Challenge at the CVPR 2023 End-to-End Autonomous Driving Workshop. [paper] [code]
  • trajdata: A Unified Interface to Multiple Human Trajectory Datasets, arXiv preprint arXiv:2307.13924, 2023. [paper] [code]
  • Remember Intentions: Retrospective-Memory-based Trajectory Prediction, CVPR 2022. [paper] [code]
  • STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes, CVPR 2022. [paper] [code]
  • Vehicle trajectory prediction works, but not everywhere, CVPR 2022. [paper] [code]
  • Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion, CVPR 2022. [paper] [code]
  • Non-Probability Sampling Network for Stochastic Human Trajectory Prediction, CVPR 2022. [paper] [code]
  • On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles, CVPR 2022. [paper] [code]
  • Adaptive Trajectory Prediction via Transferable GNN, CVPR 2022. [paper]
  • Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective, CVPR 2022. [paper] [code, code]
  • How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting, CVPR 2022. [paper]
  • Learning from All Vehicles, CVPR 2022. [paper] [code]
  • Forecasting from LiDAR via Future Object Detection, CVPR 2022. [paper] [code]
  • End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps, CVPR 2022. [paper] [code]
  • M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction, CVPR 2022. [paper] [code]
  • GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning, CVPR 2022. [paper] [code]
  • Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-Based Prediction, CVPR 2022. [paper]
  • ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning, CVPR 2022. [paper] [code]
  • Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction, CVPR 2022. [paper] [code]
  • MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction, CVPR 2022. [paper]
  • LTP: Lane-based Trajectory Prediction for Autonomous Driving, CVPR 2022. [paper]
  • ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework, CVPR 2022. [paper]
  • Human Trajectory Prediction with Momentary Observation, CVPR 2022. [paper]
  • HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction, CVPR 2022. [paper] [code]
  • Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction, ECCV 2022. [paper] [code]
  • Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation, ECCV 2022. [paper] [code] [website]
  • Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting, ECCV 2022. [paper] [code]
  • SocialVAE: Human Trajectory Prediction using Timewise Latents, ECCV 2022. [paper] [code]
  • View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums, ECCV 2022. [paper] [code]
  • Entry-Flipped Transformer for Inference and Prediction of Participant Behavior, ECCV 2022. [paper]
  • D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights, ECCV 2022. [paper] [code]
  • Human Trajectory Prediction via Neural Social Physics, ECCV 2022. [paper] [code]
  • Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-Agent Trajectory Prediction, ECCV 2022. [paper] [code]
  • Aware of the History: Trajectory Forecasting with the Local Behavior Data, ECCV 2022. [paper] [code]
  • Action-based Contrastive Learning for Trajectory Prediction, ECCV 2022. [paper]
  • AdvDO: Realistic Adversarial Attacks for Trajectory Prediction, ECCV 2022. [paper]
  • ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning, ECCV 2022. [paper] [code]
  • Social ODE: Multi-Agent Trajectory Forecasting with Neural Ordinary Differential Equations, ECCV 2022. [paper]
  • Forecasting Human Trajectory from Scene History, NeurIPS 2022. [paper] [code]
  • Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline, NeurIPS 2022. [paper] [code]
  • Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022. [paper] [website]
  • Interaction Modeling with Multiplex Attention, NeurIPS 2022. [paper] [code]
  • Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models, Conference on Learning for Dynamics and Control (L4DC). [paper] [website]
  • Social Interpretable Tree for Pedestrian Trajectory Prediction, AAAI 2022. [paper] [code]
  • Complementary Attention Gated Network for Pedestrian Trajectory Prediction, AAAI 2022. [paper] [code]
  • Scene Transformer: A unified architecture for predicting future trajectories of multiple agents, ICLR 2022. [paper]
  • You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction, ICLR 2022. [paper]
  • Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction, ICLR 2022. [paper] [code]
  • THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling, ICLR 2022. [paper]
  • Path-Aware Graph Attention for HD Maps in Motion Prediction, ICRA 2022. [paper]
  • Trajectory Prediction with Linguistic Representations, ICRA 2022. [paper]
  • Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction, ICRA 2022. [paper] [website]
  • KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction, ICRA 2022. [paper]
  • Domain Generalization for Vision-based Driving Trajectory Generation, ICRA 2022. [paper] [website]
  • A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction, ICRA 2022. [paper]
  • Conditioned Human Trajectory Prediction using Iterative Attention Blocks, ICRA 2022. [paper]
  • StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving, ICRA 2022. [paper]
  • Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction, ICRA 2022. [paper] [website]
  • Propagating State Uncertainty Through Trajectory Forecasting, ICRA 2022. [paper] [code]
  • HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling, ICRA 2022. [paper]
  • Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting, ICRA 2022. [paper]
  • Crossmodal Transformer Based Generative Framework for Pedestrian Trajectory Prediction, ICRA 2022. [paper]
  • Trajectory Prediction for Autonomous Driving with Topometric Map, ICRA 2022. [paper] [code]
  • CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention, ICRA 2022. [paper] [code]
  • MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction, ICRA 2022. [paper]
  • Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving, ICRA 2022. [paper]
  • GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation, ICRA 2022. [paper]
  • TridentNetV2: Lightweight Graphical Global Plan Representations for Dynamic Trajectory Generation, ICRA 2022. [paper]
  • Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty, IROS 2022. [paper] [code] [trajdata]
  • Trajectory Prediction with Graph-based Dual-scale Context Fusion, IROS 2022. [paper] [code]
  • Robust Trajectory Prediction against Adversarial Attacks, CoRL 2022. [paper] [code]
  • Planning with Diffusion for Flexible Behavior Synthesis, ICML 2022. [paper] [website]
  • Synchronous Bi-Directional Pedestrian Trajectory Prediction with Error Compensation, ACCV 2022. [paper]
  • AI-TP: Attention-based Interaction-aware Trajectory Prediction for Autonomous Driving, IEEE T-IV, 2022. [paper] [code]
  • MDST-DGCN: A Multilevel Dynamic Spatiotemporal Directed Graph Convolutional Network for Pedestrian Trajectory Prediction, Computational Intelligence and Neuroscience. [paper]
  • Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving, IEEE T-ITS, 2022. [paper]
  • Multi-Agent Trajectory Prediction with Heterogeneous Edge-Enhanced Graph Attention Network, IEEE T-ITS, 2022. [paper]
  • Fully Convolutional Encoder-Decoder With an Attention Mechanism for Practical Pedestrian Trajectory Prediction, IEEE T-ITS, 2022. [paper]
  • STGM: Vehicle Trajectory Prediction Based on Generative Model for Spatial-Temporal Features, IEEE T-ITS, 2022. [paper]
  • Trajectory Prediction for Autonomous Driving Using Spatial-Temporal Graph Attention Transformer, IEEE T-ITS, 2022. [paper]
  • Intention-Aware Vehicle Trajectory Prediction Based on Spatial-Temporal Dynamic Attention Network for Internet of Vehicles, IEEE T-ITS, 2022. [paper] [code]
  • Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network, IEEE T-ITS, 2022. [paper]
  • DeepTrack: Lightweight Deep Learning for Vehicle Trajectory Prediction in Highways, IEEE T-ITS, 2022. [paper]
  • Interactive Trajectory Prediction Using a Driving Risk Map-Integrated Deep Learning Method for Surrounding Vehicles on Highways, IEEE T-ITS, 2022. [paper]
  • Vehicle Trajectory Prediction in Connected Environments via Heterogeneous Context-Aware Graph Convolutional Networks, IEEE T-ITS, 2022. [paper]
  • Trajectory Prediction Neural Network and Model Interpretation Based on Temporal Pattern Attention, IEEE T-ITS, 2022. [paper]
  • Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction, IEEE RA-L, 2022. [paper] [code]
  • GAMMA: A General Agent Motion Prediction Model for Autonomous Driving, RAL. [paper] [code]
  • Stepwise Goal-Driven Networks for Trajectory Prediction, RAL. [paper] [code]
  • GA-STT: Human Trajectory Prediction with Group Aware Spatial-Temporal Transformer, RAL. [paper]
  • Long-term 4D trajectory prediction using generative adversarial networks, Transportation Research Part C: Emerging Technologies. [paper]
  • A context-aware pedestrian trajectory prediction framework for automated vehicles, Transportation Research Part C: Emerging Technologies. [paper]
  • Explainable multimodal trajectory prediction using attention models, Transportation Research Part C: Emerging Technologies. [paper]
  • CSCNet: Contextual semantic consistency network for trajectory prediction in crowded spaces, PR. [paper]
  • CSR: Cascade Conditional Variational AutoEncoder with Social-aware Regression for Pedestrian Trajectory Prediction, PR. [paper]
  • Step Attention: Sequential Pedestrian Trajectory Prediction, IEEE Sensors Journal. [paper]
  • Vehicle Trajectory Prediction Method Coupled With Ego Vehicle Motion Trend Under Dual Attention Mechanism, IEEE Transactions on Instrumentation and Measurement. [paper]
  • Spatio-temporal Interaction Aware and Trajectory Distribution Aware Graph Convolution Network for Pedestrian Multimodal Trajectory Prediction, IEEE Transactions on Instrumentation and Measurement. [paper]
  • Deep encoder–decoder-NN: A deep learning-based autonomous vehicle trajectory prediction and correction model, Physica A: Statistical Mechanics and its Applications. [paper]
  • PTPGC: Pedestrian trajectory prediction by graph attention network with ConvLSTM, Robotics and Autonomous Systems. [paper]
  • GCHGAT: pedestrian trajectory prediction using group constrained hierarchical graph attention networks, Applied Intelligence. [paper]
  • Vehicles Trajectory Prediction Using Recurrent VAE Network, IEEE Access. [paper] [code]
  • SEEM: A Sequence Entropy Energy-Based Model for Pedestrian Trajectory All-Then-One Prediction, TPAMI. [paper]
  • PTP-STGCN: Pedestrian Trajectory Prediction Based on a Spatio-temporal Graph Convolutional Neural Network, Applied Intelligence. [paper]
  • Trajectory distributions: A new description of movement for trajectory prediction, Computational Visual Media. [paper]
  • Trajectory prediction for autonomous driving based on multiscale spatial-temporal graph, IET Intelligent Transport Systems. [paper]
  • Continual learning-based trajectory prediction with memory augmented networks, Knowledge-Based Systems. [paper]
  • Atten-GAN: Pedestrian Trajectory Prediction with GAN Based on Attention Mechanism, Cognitive Computation. [paper]
  • EvoSTGAT: Evolving spatiotemporal graph attention networks for pedestrian trajectory prediction, Neurocomputing. [paper]
  • Raising context awareness in motion forecasting, CVPR Workshops 2022. [paper] [code]
  • Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction, CVPR Workshops 2022. [paper] [code]
  • Importance Is in Your Attention: Agent Importance Prediction for Autonomous Driving, CVPR Workshops 2022. [paper]
  • MPA: MultiPath++ Based Architecture for Motion Prediction, CVPR Workshops 2022. [paper] [code]
  • TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model, arXiv:2201.02941, 2022. [paper]
  • Wayformer: Motion Forecasting via Simple & Efficient Attention Networks, arXiv preprint arXiv:2207.05844, 2022. [paper]
  • PreTR: Spatio-Temporal Non-Autoregressive Trajectory Prediction Transformer, arXiv preprint arXiv:2203.09293, 2022. [paper]
  • LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction, arXiv preprint arXiv:2203.01880, 2022. [paper]
  • Diverse Multiple Trajectory Prediction Using a Two-stage Prediction Network Trained with Lane Loss, arXiv preprint arXiv:2206.08641, 2022. [paper]
  • Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction, arXiv preprint arXiv:2205.14230, 2022. [paper]
  • Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning, arXiv preprint arXiv:2211.00848, 2022. [paper]
  • GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model, arXiv preprint arXiv:2209.07857, 2022. [paper] [code]
  • Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning, arXiv preprint arXiv:2206.13114, 2022. [paper]
  • Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting, arXiv preprint arXiv:2207.05195, 2022. [paper] [code]
  • Guided Conditional Diffusion for Controllable Traffic Simulation, arXiv preprint arXiv:2210.17366, 2022. [paper] [website]
  • PhysDiff: Physics-Guided Human Motion Diffusion Model, arXiv preprint arXiv:2212.02500, 2022. [paper]
  • MPA: MultiPath++ Based Architecture for Motion Prediction, CVPR Workshop on Autonomous Driving 2022. [paper] [code]
  • Collaborative Uncertainty in Multi-Agent Trajectory Forecasting, NeurIPS 2021. [paper]
  • GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction, NeurIPS 2021. [paper] [code]
  • LibCity: An Open Library for Traffic Prediction, SIGSPATIAL 2021. [paper] [code]
  • Predicting Vehicles Trajectories in Urban Scenarios with Transformer Networks and Augmented Information, IEEE Intelligent Vehicles Symposium (IV 2021). [paper]
  • Social-STAGE: Spatio-Temporal Multi-Modal Future Trajectory Forecast, ICRA 2021. [paper]
  • AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention, ICRA 2021. [paper]
  • Exploring Dynamic Context for Multi-path Trajectory Prediction, ICRA 2021. [paper] [code]
  • Pedestrian Trajectory Prediction using Context-Augmented Transformer Networks, ICRA 2021. [paper] [code]
  • Spectral Temporal Graph Neural Network for Trajectory Prediction, ICRA 2021. [paper]
  • Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance, ICRA 2021. [paper] [code]
  • Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements, ICRA 2021. [paper]
  • AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting, ICCV 2021. [paper] [code] [website]
  • Likelihood-Based Diverse Sampling for Trajectory Forecasting, ICCV 2021. [paper] [code]
  • MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction, ICCV 2021. [paper] [code]
  • Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting, ICCV 2021. [paper]
  • Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis, ICCV 2021. [paper]
  • From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting, ICCV 2021. [paper] [code]
  • Where are you heading? Dynamic Trajectory Prediction with Expert Goal Examples, ICCV 2021. [paper] [code]
  • DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets, ICCV 2021. [paper]
  • Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving, ICCV 2021. [paper] [code]
  • LOKI: Long Term and Key Intentions for Trajectory Prediction, ICCV 2021. [paper] [dataset]
  • Human Trajectory Prediction via Counterfactual Analysis, ICCV 2021. [paper] [code]
  • Personalized Trajectory Prediction via Distribution Discrimination, ICCV 2021. [paper] [code]
  • Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction, ICCV 2021. [paper] [code]
  • Social NCE: Contrastive Learning of Socially-aware Motion Representations, ICCV 2021. [paper] [code]
  • RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting, ICCV 2021. [paper]
  • Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision, AAAI 2021. [paper]
  • SCAN: A Spatial Context Attentive Network for Joint Multi-Agent Intent Prediction, AAAI 2021. [paper]
  • Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction, AAAI 2021. [paper] [code]
  • MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions, CVPR 2021. [paper]
  • Multimodal Motion Prediction with Stacked Transformers, CVPR 2021. [paper] [code] [website]
  • SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction, CVPR 2021. [paper] [code]
  • LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents, CVPR 2021. [paper]
  • Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction, CVPR 2021. [paper]
  • Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers, CVPR 2021. [paper] [dataset]
  • Trajectory Prediction with Latent Belief Energy-Based Model, CVPR 2021. [paper] [code]
  • Shared Cross-Modal Trajectory Prediction for Autonomous Driving, CVPR 2021. [paper]
  • Pedestrian and Ego-vehicle Trajectory Prediction from Monocular camera, CVPR 2021. [paper] [code]
  • Interpretable Social Anchors for Human Trajectory Forecasting in Crowds, CVPR 2021. [paper]
  • Introvert: Human Trajectory Prediction via Conditional 3D Attention, CVPR 2021. [paper]
  • MP3: A Unified Model to Map, Perceive, Predict and Plan, CVPR 2021. [paper]
  • TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors, CVPR 2021. [paper]
  • Multimodal Transformer Network for Pedestrian Trajectory Prediction, IJCAI 2021. [paper] [code]
  • Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction, IROS 2021. [paper]
  • Joint Intention and Trajectory Prediction Based on Transformer, IROS 2021. [paper]
  • Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks, IROS 2021. [paper]
  • Multiple Contextual Cues Integrated Trajectory Prediction for Autonomous Driving, IROS 2021. [paper]
  • MultiXNet: Multiclass Multistage Multimodal Motion Prediction, IEEE Intelligent Vehicles Symposium (IV 2021). [paper]
  • Trajectory Prediction for Autonomous Driving based on Multi-Head Attention with Joint Agent-Map Representation, IEEE Intelligent Vehicles Symposium (IV 2021). [paper]
  • Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios, IV 2021. [paper]
  • Generating Scenarios with Diverse Pedestrian Behaviors for Autonomous Vehicle Testing, Conference on Robot Learning (CoRL 2021). [paper] [code]
  • Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals, CoRL 2021. [paper] [code]
  • Learning to Predict Vehicle Trajectories with Model-based Planning, CoRL 2021. [paper]
  • Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks, International Conference on Pattern Recognition (ICPR 2021). [paper]
  • GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction, WACV 2021. [paper]
  • Goal-driven Long-Term Trajectory Prediction, WACV 2021. [paper]
  • Multimodal Trajectory Predictions for Autonomous Driving without a Detailed Prior Map, WACV 2021. [paper]
  • Self-Growing Spatial Graph Network for Context-Aware Pedestrian Trajectory Prediction, IEEE International Conference on Image Processing (ICIP 2021). [paper] [code]
  • S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving, Asian Conference on Machine Learning 2021. [paper] [code]
  • Learning Structured Representations of Spatial and Interactive Dynamics for Trajectory Prediction in Crowded Scenes, IEEE Robotics and Automation Letters 2021 [paper], [code]
  • Trajectory Prediction using Equivariant Continuous Convolution, ICLR 2021. [paper] [code]
  • TridentNet: A Conditional Generative Model for Dynamic Trajectory Generation, International Conference on Intelligent Autonomous Systems 2021. [paper]
  • HOME: Heatmap Output for future Motion Estimation, ITSC 2021. [paper]
  • Graph and Recurrent Neural Network-based Vehicle Trajectory Prediction For Highway Driving, ITSC 2021. [paper]
  • SCSG Attention: A Self-Centered Star Graph with Attention for Pedestrian Trajectory Prediction, International Conference on Database Systems for Advanced Applications (DASFAA 2021). [paper]
  • Leveraging Trajectory Prediction for Pedestrian Video Anomaly Detection, IEEE Symposium Series on Computational Intelligence (SSCI 2021). [paper] [code]
  • Are socially-aware trajectory prediction models really socially-aware?, Transportation Research: Part C. [paper, paper] [code]
  • Injecting knowledge in data-driven vehicle trajectory predictors, Transportation Research: Part C. [paper] [code]
  • Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning, Transportation Research: Part C. [paper]
  • Human Trajectory Forecasting in Crowds: A Deep Learning Perspective, IEEE Transactions on Intelligent Transportation Systems. [paper] [code]
  • NetTraj: A Network-Based Vehicle Trajectory Prediction Model With Directional Representation and Spatiotemporal Attention Mechanisms, TITS. [paper]
  • Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking, TITS. [paper]
  • A Hierarchical Framework for Interactive Behaviour Prediction of Heterogeneous Traffic Participants Based on Graph Neural Network, TITS. [paper]
  • TrajGAIL: Generating urban vehicle trajectories using generative adversarial imitation learning, Transportation Research Part C. [paper] [code]
  • Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features, IEEE ROBOTICS AND AUTOMATION LETTERS. [paper]
  • Vehicle Trajectory Prediction Using LSTMs with Spatial-Temporal Attention Mechanisms, IEEE Intelligent Transportation Systems Magazine. [paper] [code]
  • Long Short-Term Memory-Based Human-Driven Vehicle Longitudinal Trajectory Prediction in a Connected and Autonomous Vehicle Environment, Transportation Research Record. [paper]
  • Temporal Pyramid Network with Spatial-Temporal Attention for Pedestrian Trajectory Prediction, IEEE Transactions on Network Science and Engineering. [paper]
  • An efficient Spatial–Temporal model based on gated linear units for trajectory prediction, Neurocomputing. [paper]
  • SRAI-LSTM: A Social Relation Attention-based Interaction-aware LSTM for human trajectory prediction, Neurocomputing. [paper]
  • AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction, Neurocomputing. [paper]
  • Multi-PPTP: Multiple Probabilistic Pedestrian Trajectory Prediction in the Complex Junction Scene, IEEE Transactions on Intelligent Transportation Systems. [paper]
  • A Novel Graph-Based Trajectory Predictor With Pseudo-Oracle, TNNLS. [paper]
  • Large Scale GPS Trajectory Generation Using Map Based on Two Stage GAN, Journal of Data Science. [paper] [code]
  • Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users’ Trajectories, IEEE Transactions on Intelligent Vehicles. [paper]
  • STI-GAN: Multimodal Pedestrian Trajectory Prediction Using Spatiotemporal Interactions and a Generative Adversarial Network, IEEE Access. [paper]
  • Holistic LSTM for Pedestrian Trajectory Prediction, TIP. [paper]
  • Pedestrian trajectory prediction with convolutional neural networks, PR. [paper]
  • LSTM based trajectory prediction model for cyclist utilizing multiple interactions with environment, PR. [paper]
  • Human trajectory prediction and generation using LSTM models and GANs, PR. [paper]
  • Vehicle trajectory prediction and generation using LSTM models and GANs, Plos one. [paper]
  • BiTraP: Bi-Directional Pedestrian Trajectory Prediction With Multi-Modal Goal Estimation, RAL. [paper] [code]
  • A Kinematic Model for Trajectory Prediction in General Highway Scenarios, RAL. [paper] [code]
  • Trajectory Prediction in Autonomous Driving With a Lane Heading Auxiliary Loss, RAL. [paper]
  • Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features, RAL. [paper]
  • Tra2Tra: Trajectory-to-Trajectory Prediction With a Global Social Spatial-Temporal Attentive Neural Network, RAL. [paper]
  • Social graph convolutional LSTM for pedestrian trajectory prediction, IET Intelligent Transport Systems. [paper]
  • HSTA: A Hierarchical Spatio-Temporal Attention Model for Trajectory Prediction, IEEE Transactions on Vehicular Technology (TVT). [paper]
  • Environment-Attention Network for Vehicle Trajectory Prediction, TVT. [paper]
  • Where Are They Going? Predicting Human Behaviors in Crowded Scenes, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM). [paper]
  • Multi-Agent Trajectory Prediction with Spatio-Temporal Sequence Fusion, IEEE Transactions on Multimedia (TMM). [paper]
  • EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning, NeurIPS 2020. [paper]
  • V2VNet- Vehicle-to-Vehicle Communication for Joint Perception and Prediction, ECCV 2020. [paper]
  • SMART- Simultaneous Multi-Agent Recurrent Trajectory Prediction, ECCV 2020. [paper]
  • SimAug- Learning Robust Representations from Simulation for Trajectory Prediction, ECCV 2020. [paper]
  • Learning Lane Graph Representations for Motion Forecasting, ECCV 2020. [paper]
  • Implicit Latent Variable Model for Scene-Consistent Motion Forecasting, ECCV 2020. [paper]
  • Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding, ECCV 2020. [paper]
  • Semantic Synthesis of Pedestrian Locomotion, ACCV 2020. [Paper]
  • Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction, CoRL 2019. [paper] [code]
  • Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network, 2020. [paper]
  • Social NCE: Contrastive Learning of Socially-aware Motion Representations. [paper], [code]
  • Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks, ICPR International Workshops and Challenges 2020. [paper]
  • EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning, NeurIPS 2020. [paper]
  • Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction, ECCV 2020. [paper]
  • It is not the Journey but the Destination- Endpoint Conditioned Trajectory Prediction, ECCV 2020. [paper]
  • How Can I See My Future? FvTraj: Using First-person View for Pedestrian Trajectory Prediction, ECCV 2020. [paper]
  • Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction, ECCV 2020. [paper]
  • Human Trajectory Forecasting in Crowds: A Deep Learning Perspective, 2020. [paper], [code]
  • SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen cameras, ECCV 2020. [paper], [code]
  • DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting, ICPR 2020. [paper] [code]
  • Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision, WACV 2020. [paper]
  • Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network, 2020. [paper]
  • Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction, CVPR 2020. [Paper], [Code]
  • The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction, CVPR 2020. [paper], [code/dataset]
  • Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision, WACV 2020. [paper]
  • Pose Based Trajectory Forecast of Vulnerable Road Users, SSCI 2019. [paper]
  • The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs, ICCV 2019. [paper] [code]
  • STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction, ICCV 2019. [paper] [code]
  • Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression, ICCV 2019. [paper]
  • Social and Scene-Aware Trajectory Prediction in Crowded Spaces, ICCV workshop 2019. [paper] [code]
  • Stochastic Sampling Simulation for Pedestrian Trajectory Prediction, IROS 2019. [paper]
  • Long-Term Prediction of Motion Trajectories Using Path Homology Clusters, IROS 2019. [paper]
  • StarNet: Pedestrian Trajectory Prediction Using Deep Neural Network in Star Topology, IROS 2019. [paper]
  • Learning Generative Socially-Aware Models of Pedestrian Motion, IROS 2019. [paper]
  • Situation-Aware Pedestrian Trajectory Prediction with Spatio-Temporal Attention Model, CVWW 2019. [paper]
  • Path predictions using object attributes and semantic environment, VISIGRAPP 2019. [paper]
  • Probabilistic Path Planning using Obstacle Trajectory Prediction, CoDS-COMAD 2019. [paper]
  • Human Trajectory Prediction using Adversarial Loss, hEART 2019. [paper], [code]
  • Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs, CVPR 2019. [Precognition Workshop], [paper], [code]
  • Peeking into the Future: Predicting Future Person Activities and Locations in Videos, CVPR 2019. [paper], [code]
  • Learning to Infer Relations for Future Trajectory Forecast, CVPR 2019. [paper]
  • TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions, CVPR 2019. [paper]
  • Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes, CVPR 2019. [paper]
  • Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction, CVPR 2019. [paper][code]
  • Sophie: An attentive gan for predicting paths compliant to social and physical constraints, CVPR 2019. [paper][code]
  • Pedestrian path, pose, and intention prediction through gaussian process dynamical models and pedestrian activity recognition, 2019. [paper]
  • Multimodal Interaction-aware Motion Prediction for Autonomous Street Crossing, 2019. [paper]
  • The simpler the better: Constant velocity for pedestrian motion prediction, 2019. [paper]
  • Pedestrian trajectory prediction in extremely crowded scenarios, 2019. [paper]
  • Srlstm: State refinement for lstm towards pedestrian trajectory prediction, 2019. [paper]
  • Location-velocity attention for pedestrian trajectory prediction, WACV 2019. [paper]
  • Pedestrian Trajectory Prediction in Extremely Crowded Scenarios, Sensors, 2019. [paper]
  • Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs, 2019. [paper] [code]
  • Joint Prediction for Kinematic Trajectories in Vehicle-Pedestrian-Mixed Scenes, ICCV 2019. [paper]
  • Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction, ICCV 2019. [paper]
  • Looking to Relations for Future Trajectory Forecast, ICCV 2019. [paper]
  • Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles, IROS 2019. [paper]
  • Sharing Is Caring: Socially-Compliant Autonomous Intersection Negotiation, IROS 2019. [paper]
  • INFER: INtermediate Representations for FuturE PRediction, IROS 2019. [paper] [code]
  • Deep Predictive Autonomous Driving Using Multi-Agent Joint Trajectory Prediction and Traffic Rules, IROS 2019. [paper]
  • NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles, IROS 2019. [paper]
  • Urban Street Trajectory Prediction with Multi-Class LSTM Networks, IROS 2019. [N/A]
  • Spatiotemporal Learning of Directional Uncertainty in Urban Environments with Kernel Recurrent Mixture Density Networks, IROS 2019. [paper]
  • Conditional generative neural system for probabilistic trajectory prediction, IROS 2019. [paper]
  • Interaction-aware multi-agent tracking and probabilistic behavior prediction via adversarial learning, ICRA 2019. [paper]
  • Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving, IEEE Trans. Intell. Transport. Systems, 2019. [paper]
  • Coordination and trajectory prediction for vehicle interactions via bayesian generative modeling, IV 2019. [paper]
  • Wasserstein generative learning with kinematic constraints for probabilistic interactive driving behavior prediction, IV 2019. [paper]
  • GRIP: Graph-based Interaction-aware Trajectory Prediction, ITSC 2019. [paper]
  • AGen: Adaptable Generative Prediction Networks for Autonomous Driving, IV 2019. [paper]
  • TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions, CVPR 2019. [paper], [code]
  • Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks, CVPR 2019. [paper]
  • Argoverse: 3D Tracking and Forecasting With Rich Maps, CVPR 2019 [paper]
  • Robust Aleatoric Modeling for Future Vehicle Localization, CVPR 2019. [paper]
  • Pedestrian occupancy prediction for autonomous vehicles, IRC 2019. [paper]
  • Context-based path prediction for targets with switching dynamics, 2019.[paper]
  • Deep Imitative Models for Flexible Inference, Planning, and Control, 2019. [paper]
  • Infer: Intermediate representations for future prediction, 2019. [paper][code]
  • Multi-agent tensor fusion for contextual trajectory prediction, 2019. [paper]
  • Context-Aware Pedestrian Motion Prediction In Urban Intersections, 2018. [paper]
  • Generic probabilistic interactive situation recognition and prediction: From virtual to real, ITSC 2018. [paper]
  • Generic vehicle tracking framework capable of handling occlusions based on modified mixture particle filter, IV 2018. [paper]
  • Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs, 2018. [paper]
  • Sequence-to-sequence prediction of vehicle trajectory via lstm encoder-decoder architecture, 2018. [paper]
  • R2P2: A ReparameteRized Pushforward Policy for diverse, precise generative path forecasting, ECCV 2018. [paper]
  • Predicting trajectories of vehicles using large-scale motion priors, IV 2018. [paper]
  • Vehicle trajectory prediction by integrating physics-and maneuver based approaches using interactive multiple models, 2018. [paper]
  • Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks, 2018. [paper]
  • Generative multi-agent behavioral cloning, 2018. [paper]
  • Deep Sequence Learning with Auxiliary Information for Traffic Prediction, KDD 2018. [paper], [code]
  • A data-driven model for interaction-aware pedestrian motion prediction in object cluttered environments, ICRA 2018. [paper]
  • Move, Attend and Predict: An attention-based neural model for people’s movement prediction, Pattern Recognition Letters 2018. [paper]
  • GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds, ACCV 2018, [paper], [demo]
  • Ss-lstm: a hierarchical lstm model for pedestrian trajectory prediction, WACV 2018. [paper]
  • Social Attention: Modeling Attention in Human Crowds, ICRA 2018. [paper][code]
  • Pedestrian prediction by planning using deep neural networks, ICRA 2018. [paper]
  • Joint long-term prediction of human motion using a planning-based social force approach, ICRA 2018. [paper]
  • Human motion prediction under social grouping constraints, IROS 2018. [paper]
  • Future Person Localization in First-Person Videos, CVPR 2018. [paper]
  • Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks, CVPR 2018. [paper][code]
  • Group LSTM: Group Trajectory Prediction in Crowded Scenarios, ECCV 2018. [paper]
  • Mx-lstm: mixing tracklets and vislets to jointly forecast trajectories and head poses, CVPR 2018. [paper]
  • Intent prediction of pedestrians via motion trajectories using stacked recurrent neural networks, 2018. [paper]
  • Transferable pedestrian motion prediction models at intersections, 2018. [paper]
  • Probabilistic map-based pedestrian motion prediction taking traffic participants into consideration, 2018. [paper]
  • A Computationally Efficient Model for Pedestrian Motion Prediction, ECC 2018. [paper]
  • Context-aware trajectory prediction, ICPR 2018. [paper]
  • Set-based prediction of pedestrians in urban environments considering formalized traffic rules, ITSC 2018. [paper]
  • Building prior knowledge: A markov based pedestrian prediction model using urban environmental data, ICARCV 2018. [paper]
  • Depth Information Guided Crowd Counting for Complex Crowd Scenes, 2018. [paper]
  • Tracking by Prediction: A Deep Generative Model for Mutli-Person Localisation and Tracking, WACV 2018. [paper]
  • “Seeing is Believing”: Pedestrian Trajectory Forecasting Using Visual Frustum of Attention, WACV 2018. [paper]
  • Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty, CVPR 2018. [paper], [code+data]
  • Encoding Crowd Interaction with Deep Neural Network for Pedestrian Trajectory Prediction, CVPR 2018. [paper], [code]
  • Multipolicy decision-making for autonomous driving via changepoint-based behavior prediction, 2017. [paper]
  • Probabilistic long-term prediction for autonomous vehicles, IV 2017. [paper]
  • Probabilistic vehicle trajectory prediction over occupancy grid map via recurrent neural network, ITSC 2017. [paper]
  • Desire: Distant future prediction in dynamic scenes with interacting agents, CVPR 2017. [paper][code]
  • Imitating driver behavior with generative adversarial networks, 2017. [paper][code]
  • Infogail: Interpretable imitation learning from visual demonstrations, 2017. [paper][code]
  • Long-term planning by short-term prediction, 2017. [paper]
  • Long-term path prediction in urban scenarios using circular distributions, 2017. [paper]
  • Deep learning driven visual path prediction from a single image, 2016. [paper]
  • Walking Ahead: The Headed Social Force Model, 2017. [paper]
  • Real-time certified probabilistic pedestrian forecasting, 2017. [paper]
  • A multiple-predictor approach to human motion prediction, ICRA 2017. [paper]
  • Forecasting interactive dynamics of pedestrians with fictitious play, CVPR 2017. [paper]
  • Forecast the plausible paths in crowd scenes, IJCAI 2017. [paper]
  • Bi-prediction: pedestrian trajectory prediction based on bidirectional lstm classification, DICTA 2017. [paper]
  • Aggressive, Tense or Shy? Identifying Personality Traits from Crowd Videos, IJCAI 2017. [paper]
  • Natural vision based method for predicting pedestrian behaviour in urban environments, ITSC 2017. [paper]
  • Human Trajectory Prediction using Spatially aware Deep Attention Models, 2017. [paper]
  • Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection, 2017. [paper]
  • Forecasting Interactive Dynamics of Pedestrians with Fictitious Play, CVPR 2017. [paper]
  • Social LSTM: Human trajectory prediction in crowded spaces, CVPR 2016. [paper][code]
  • Comparison and evaluation of pedestrian motion models for vehicle safety systems, ITSC 2016. [paper]
  • Age and Group-driven Pedestrian Behaviour: from Observations to Simulations, 2016. [paper]
  • Structural-RNN: Deep learning on spatio-temporal graphs, CVPR 2016. [paper][code]
  • Intent-aware long-term prediction of pedestrian motion, ICRA 2016. [paper]
  • Context-based detection of pedestrian crossing intention for autonomous driving in urban environments, IROS 2016. [paper]
  • Novel planning-based algorithms for human motion prediction, ICRA 2016. [paper]
  • Learning social etiquette: Human trajectory understanding in crowded scenes, ECCV 2016. [paper][code]
  • GLMP-realtime pedestrian path prediction using global and local movement patterns, ICRA 2016. [paper]
  • Knowledge transfer for scene-specific motion prediction, ECCV 2016. [paper]
  • STF-RNN: Space Time Features-based Recurrent Neural Network for predicting People Next Location, SSCI 2016. [code]
  • Goal-directed pedestrian prediction, ICCV 2015. [paper]
  • Trajectory analysis and prediction for improved pedestrian safety: Integrated framework and evaluations, 2015. [paper]
  • Predicting and recognizing human interactions in public spaces, 2015. [paper]
  • Learning collective crowd behaviors with dynamic pedestrian-agents, 2015. [paper]
  • Modeling spatial-temporal dynamics of human movements for predicting future trajectories, AAAI 2015. [paper]
  • Unsupervised robot learning to predict person motion, ICRA 2015. [paper]
  • A controlled interactive multiple model filter for combined pedestrian intention recognition and path prediction, ITSC 2015. [paper]
  • Real-Time Predictive Modeling and Robust Avoidance of Pedestrians with Uncertain, Changing Intentions, 2014. [paper]
  • Behavior estimation for a complete framework for human motion prediction in crowded environments, ICRA 2014. [paper]
  • Pedestrian’s trajectory forecast in public traffic with artificial neural network, ICPR 2014. [paper]
  • Will the pedestrian cross? A study on pedestrian path prediction, 2014. [paper]
  • BRVO: Predicting pedestrian trajectories using velocity-space reasoning, 2014. [paper]
  • Context-based pedestrian path prediction, ECCV 2014. [paper]
  • Pedestrian path prediction using body language traits, 2014. [paper]
  • Online maneuver recognition and multimodal trajectory prediction for intersection assistance using non-parametric regression, 2014. [paper]
  • Learning intentions for improved human motion prediction, 2013. [paper]
  • Understanding interactions between traffic participants based on learned behaviors, 2016. [paper]
  • Visual path prediction in complex scenes with crowded moving objects, CVPR 2016. [paper]
  • A game-theoretic approach to replanning-aware interactive scene prediction and planning, 2016. [paper]
  • Intention-aware online pomdp planning for autonomous driving in a crowd, ICRA 2015. [paper]
  • Online maneuver recognition and multimodal trajectory prediction for intersection assistance using non-parametric regression, 2014. [paper]
  • Patch to the future: Unsupervised visual prediction, CVPR 2014. [paper]
  • Mobile agent trajectory prediction using bayesian nonparametric reachability trees, 2011. [paper]

Mobile Robots

  • Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements, ICRA 2021. [paper]
  • Social NCE: Contrastive Learning of Socially-aware Motion Representations. [paper], [code]
  • Multimodal probabilistic model-based planning for human-robot interaction, ICRA 2018. [paper][code]
  • Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning, ICRA 2017. [paper]
  • Augmented dictionary learning for motion prediction, ICRA 2016. [paper]
  • Predicting future agent motions for dynamic environments, ICMLA 2016. [paper]
  • Bayesian intention inference for trajectory prediction with an unknown goal destination, IROS 2015. [paper]
  • Learning to predict trajectories of cooperatively navigating agents, ICRA 2014. [paper]

Sport Players

  • EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning, NeurIPS 2020. [paper]
  • Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation, CVPR 2020. [paper]
  • DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting, ICPR 2020. [paper] [code]
  • Diverse Generation for Multi-Agent Sports Games, CVPR 2019. [paper]
  • Stochastic Prediction of Multi-Agent Interactions from Partial Observations, ICLR 2019. [paper]
  • Generating Multi-Agent Trajectories using Programmatic Weak Supervision, ICLR 2019. [paper]
  • Generative Multi-Agent Behavioral Cloning, ICML 2018. [paper]
  • Where Will They Go? Predicting Fine-Grained Adversarial Multi-Agent Motion using Conditional Variational Autoencoders, ECCV 2018. [paper]
  • Coordinated Multi-Agent Imitation Learning, ICML 2017. [paper]
  • Generating long-term trajectories using deep hierarchical networks, 2017. [paper]
  • Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction, ICDM 2014. [paper]
  • Generative Modeling of Multimodal Multi-Human Behavior, 2018. [paper]
  • What will Happen Next? Forecasting Player Moves in Sports Videos, ICCV 2017, [paper]

Benchmark and Evaluation Metrics

  • A Preprocessing and Evaluation Toolbox for Trajectory Prediction Research on the Drone Datasets, arXiv preprint arXiv:2405.00604, 2024. [paper] [code]
  • Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation, ECCV 2022. [paper] [code]
  • OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets, ACCV 2020. [paper] [code]
  • Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction, ECCV 2020. [paper]
  • PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction, ICCV 2019. [paper]
  • Towards a fatality-aware benchmark of probabilistic reaction prediction in highly interactive driving scenarios, ITSC 2018. [paper]
  • How good is my prediction? Finding a similarity measure for trajectory prediction evaluation, ITSC 2017. [paper]
  • Trajnet: Towards a benchmark for human trajectory prediction. [website]

Others

  • Pose Based Start Intention Detection of Cyclists, ITSC 2019. [paper]
  • Cyclist trajectory prediction using bidirectional recurrent neural networks, AI 2018. [paper]
  • Road infrastructure indicators for trajectory prediction, 2018. [paper]
  • Using road topology to improve cyclist path prediction, 2017. [paper]
  • Trajectory prediction of cyclists using a physical model and an artificial neural network, 2016. [paper]