Stars
[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering
Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making
This repository is an official implementation of ADAPT: Action-aware Driving Caption Transformer, accepted by ICRA 2023.
[ICRA'2024] Rethinking Imitation-based Planner for Autonomous Driving
[CVPR 2023] ReasonNet: End-to-End Driving with Temporal and Global Reasoning
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Data-driven simulation for training and evaluating full-scale autonomous vehicles.
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction
A PyTorch implementation of EfficientNet
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.
[ICRA'23] Code for 'Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving'
[CVPR 2023] Query-Centric Trajectory Prediction
[arXiv] What-If Motion Prediction for Autonomous Driving ❓🚗💨
[ICLR'22] A Unified Architecture for Predicting Multiple Agent Trajectories
Python sample codes and textbook for robotics algorithms.
Apache 2.0 License
[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A simple PyTorch codebase for semantic segmentation using Cityscapes.
A selection of state-of-the-art research materials on trajectory prediction
Hector SLAM without odometry data on ROS with the RPLidar A1