Method | Venue | Modality | Scheme | Loc Error | Comm Issue | Discrep | Security | Code |
---|---|---|---|---|---|---|---|---|
RobustV2VNet [1] | CoRL'20 | LiDAR | I | Loc, Pos | - | - | - | - |
AOMAC [2] | ICCV'21 | LiDAR | I | - | - | - | Attack | - |
P-CNN [3] | IoT'21 | Camera | E | - | - | - | Privacy | - |
FPV-RCNN [4] | RAL'22 | LiDAR | I | Loc, Pos | - | - | - | Linkn |
TCLF [5] | CVPR'22 | LiDAR | L | - | Laten | - | - | Linkv |
V2X-ViT [6] | ECCV'22 | LiDAR | I | Loc, Pos | Laten | - | - | Linko |
SyncNet [7] | ECCV'22 | LiDAR | I | - | Laten | - | - | Linkc |
TaskAgnostic [8] | CoRL'22 | LiDAR | I | - | - | Task | - | Linkc |
SecPCV [9] | TITS'22 | LiDAR | E | - | - | - | Privacy | - |
ModelAgnostic [10] | ICRA'23 | LiDAR | L | - | - | Model | - | Linko |
MPDA [11] | ICRA'23 | LiDAR | I | - | - | Model | - | Linko |
CoAlign [12] | ICRA'23 | LiDAR | I, L | Loc, Pos | - | - | - | Linko |
LCRN [13] | TIV'23 | LiDAR | L | - | Loss | - | - | - |
OptiMatch [14] | IV'23 | LiDAR | L | Loc, Pos | - | - | - | - |
P2OD [15] | IoT'23 | Camera | E | - | - | - | Privacy | - |
ROBOSAC [16] | ICCV'23 | LiDAR | I | - | - | - | Attack | Linkc |
FFNet [17] | NeurIPS'23 | LiDAR | I | - | Laten | - | - | Linkv |
CoBEVFlow [18] | NeurIPS'23 | LiDAR | I | - | Laten | - | - | Linko |
How2comm [19] | NeurIPS'23 | LiDAR | I | - | Laten | - | - | Linko |
FeaCo [20] | MM'23 | LiDAR | I | Loc, Pos | - | - | - | Linko |
ERMVP [21] | CVPR'24 | LiDAR | I | Loc, Pos | - | - | - | Linko |
MRCNet [22] | CVPR'24 | LiDAR | I | Loc, Pos | - | - | - | Linko |
RoCo [23] | MM'24 | LiDAR | I | Loc, Pos | - | - | - | Linko |
V2X-INCOP [a1] | arXiv'23 | LiDAR | I | - | Inter | - | - | - |
MADE [a2] | arXiv'23 | LiDAR | I | - | - | - | Attack | - |
Notes:
- Schemes include early (E), intermediate (I) and late (L) collaboration.
- Loc Error includes localization (Loc) and pose (Pos) errors.
- Comm Issue includes latency (Laten), interruption (Inter) and loss (Loss).
- Discrep includes model (Model) and task (Task) discrepancies.
- Security includes attack defense (Attack) and privacy protection (Privacy).
- Code Framework: o (OpenCOOD), v (VIC3D), c (CoPerception), n (Non-mainstream framework)
Back to Contents 🔙
- Learning to Communicate and Correct Pose Errors (CoRL'20) [
pdf
] - Adversarial attacks on multi-agent communication (ICCV'21) [
pdf
] - Toward lightweight, privacy-preserving cooperative object classification for connected autonomous vehicles (IoT'21) [
pdf
] - Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving (RAL'22) [
pdf
] [code
] - DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection (CVPR'22) [
pdf
] [code
] - V2X-ViT: Vehicle-to-everything cooperative perception with vision transformer (ECCV'22) [
pdf
] [code
] - Latency-Aware Collaborative Perception (ECCV'22) [
pdf
] [code
] - Multi-robot scene completion: Towards task-agnostic collaborative perception (CoRL'22) [
pdf
] [code
] - Edge-Cooperative Privacy-Preserving Object Detection Over Random Point Cloud Shares for Connected Autonomous Vehicles (TITS'22) [
pdf
] - Model-Agnostic Multi-Agent Perception Framework (ICRA'23) [
pdf
] [code
] - Bridging the Domain Gap for Multi-Agent Perception (ICRA'23) [
pdf
] [code
] - Robust Collaborative 3D Object Detection in Presence of Pose Errors (ICRA'23) [
pdf
] [code
] - Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication (TIV'23) [
pdf
] - A Cooperative Perception System Robust to Localization Errors (IV'23) [
pdf
] - Achieving Lightweight and Privacy-Preserving Object Detection for Connected Autonomous Vehicles (IoT'23) [
pdf
] - Among Us: Adversarially Robust Collaborative Perception by Consensus (ICCV'23) [
pdf
] [code
] - Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection (NeurIPS'23) [
pdf
] [code
] - Robust Asynchronous Collaborative 3D Detection via Bird’s Eye View Flow (NeurIPS'23) [
pdf
] [code
] - How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception (NeurIPS'23) [
pdf
] [code
] - FeaCo: Reaching Robust Feature-Level Consensus in Noisy Pose Conditions (MM'23) [
pdf
] - ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging Environments (CVPR'24) [
pdf
] - Multi-agent Collaborative Perception via Motion-aware Robust Communication Network (CVPR'24) [
pdf
] - RoCo: Robust Cooperative Perception By Iterative Object Matching and Pose Adjustment (MM'24) [
pdf
]