A high-throughput and memory-efficient inference and serving engine for LLMs

Code for "Learning to Model the World with Language." ICML 2024 Oral.

[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering

[CVPR 2023] Pytorch implementation of ThinkTwice, a SOTA Decoder for End-to-end Autonomous Driving under BEV.

Graph-based Topology Reasoning for Driving Scenes

[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

[IEEE T-PAMI 2023] Awesome BEV perception research and cookbook for all level audience in autonomous diriving

[ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.

[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.

[IEEE T-PAMI 2023] Unified heterogeneous transformer-based graph neural network for motion prediction

Integration of RLLib and CARLA

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

Open-source simulator for autonomous driving research.