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45 repositories
- [ICLR 2024] Map Learning with Lane Segment for Autonomous Driving
- [CVPR 2026] Learning to Drive via Real-World Simulation at Scale
- Notably, GenAD & Dataset Survey. A Collection of Foundation Driving Models by OpenDriveLab. For Vista and DriveLM, please refer to individual page.
- Code for kai0, including training, inference and data collection.
- [ICLR 2026] Towards Unified Latent VLA for Whole-body Loco-manipulation Control
- Sparse Video Generation Model for Embodied Navigation conditioned on loose language guidance, 100% real world verification
- [ICRA 2026] FreeTacMan: Robot-free Visuo-Tactile Data Collection System for Contact-rich Manipulation
- 3D Occupancy Prediction Benchmark in Autonomous Driving
- [ICCV 2025] Nexus: Decoupled Diffusion Sparks Adaptive Scene Generation
- [IROS 2025 Best Paper Award Finalist & IEEE TRO 2026] The Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
- [ICCV 2025] Detect Anything 3D in the Wild
- [RSS 2025] Learning to Act Anywhere with Task-centric Latent Actions
- [CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
- [NeurIPS 2024] CLOVER: Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation
- [IEEE T-PAMI 2023] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
- [ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset
- [IEEE T-PAMI 2023] Unified heterogeneous transformer-based graph neural network for motion prediction
- Our insights of Openpilot, a deepdive project on it
- [ICLR 2023] Pytorch implementation of PPGeo, a fully self-supervised driving policy pre-training framework to learn from unlabeled driving videos.
- [ECCV 2022 Oral] Perspective Transformer on 3D Lane Detection
ThinkTwice
Public[CVPR 2023] Pytorch implementation of ThinkTwice, a SOTA Decoder for End-to-end Autonomous Driving under BEV.- [NeurIPS 2024] Behavioral Topology (BeTop), a multi-agent behavior formulation for interactive motion prediction and planning
- [ICCV 2025] ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models