Highlights
- Pro
Stars
[CoRL 2024] The official code for paper "Promptable Closed-loop Traffic Simulation"
Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer
The nanoGPT-style implementation of RWKV Language Model - an RNN with GPT-level LLM performance.
[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection
[CVPR2024] NeuRAD: Neural Rendering for Autonomous Driving
[CVPR 2023] Code and datasets for 'Chat2Map Efficient Scene Mapping from Multi-Ego Conversations'
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
Code for Few-View Object Reconstruction with Unknown Categories and Camera Poses at 3DV 2024 (oral)
Code release for "Learning Video Representations from Large Language Models"
PyTorch code for the paper "Model-Based Imitation Learning for Urban Driving".
[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
All kind of experts that can collect data for e2e learning in CARLA;
A benchmark towards generalizable reinforcement learning for autonomous driving.
A data-driven, fast driving simulator for multi-agent coordination under partial observability.
Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)
[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset
Revealing Occlusions with 4D Neural Fields (CVPR 2022 Oral) - Official Implementation
UMich 500-Level Mobile Robotics Course
(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.
Examples of how to create colorful, annotated equations in Latex using Tikz.
Code for "Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals," CoRL 2021.