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Stars
Reference implementations of MLPerf™ inference benchmarks
Implementation and Knowledge Graphs of the ICCV 2023 workshop paper "nuScenes Knowledge Graph - A comprehensive semantic representation of traffic scenes for trajectory prediction"
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
A Vue 3 Component Library. Fairly Complete. Theme Customizable. Uses TypeScript. Fast.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
A Tool for Extracting and Embedding Road Scene-Graphs
Berechnung mehrere Kritikalitätsmetriken zur Bewertung von Szenen und Szenarien.
A curated list of world models for autonomous driving. Keep updated.
Python tools for working with KITTI data.
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
[ICCV2023] NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping
Creates a semantic scene graph from a traffic scene.
Implementation of the paper "Transformer-based model for monocular visual odometry: a video understanding approach".
Scenarios for testing active safety systems according to Euro NCAP Test Protocols modelled with OpenSCENARIO XML
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
DeepScenario: An Open Driving Scenario Dataset for Autonomous Driving System Testing
A minimal Linux-capable 64-bit RISC-V SoC built around CVA6
Optical Flow Estimation using RAFT with PyTorch.
Vehicle Speed Estimation from Video using Deep Learning and Optical Flow in PyTorch.
Estimate the speed of a car given a video from dash cam with optical flow
Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3
[ECCV 2022 Oral] Perspective Transformer on 3D Lane Detection
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
Official PyTorch implementation of SegFormer
Utility functions for loading images from the KITTI dataset, plotting 2D and 3D bounding box and evaluating outputs according to the KITTI dataset metrics