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31 repositories
- [IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
- [NeurIPS 2024] A Generalizable World Model for Autonomous Driving
- [NeurIPS 2024] CLOVER: Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation
BeTop
Public[NeurIPS 2024] Behavioral Topology (BeTop), a multi-agent behavior formulation for interactive motion prediction and planning- [CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System
- [ECCV 2024] Embodied Understanding of Driving Scenarios
- [ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering
- [NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving
UniAD
Public[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving- Topology Reasoning for Scene Perception in Autonomous Driving
- [RSS 2024] Learning Manipulation by Predicting Interaction
ST-P3
Public[ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.TCP
Public[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.LaneSegNet
Public[ICLR 2024] Map Learning with Lane Segment for Autonomous DrivingOccNet
Public[ICCV 2023] OccNet: Scene as Occupancy- [CVPR 2024 Highlight] Visual Point Cloud Forecasting
mpi.github.io
Public- 3D Occupancy Prediction Benchmark in Autonomous Driving
LightwheelOcc
Public- [CVPR 2023] Pytorch implementation of ThinkTwice, a SOTA Decoder for End-to-end Autonomous Driving under BEV.
DriveAdapter
Public- [IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
PersFormer_3DLane
Public[ECCV 2022 Oral] Perspective Transformer on 3D Lane Detection- [ICLR 2023] Pytorch implementation of PPGeo, a fully self-supervised driving policy pre-training framework to learn from unlabeled driving videos.
- Our insights of Openpilot, a deepdive project on it
HDGT
Public[IEEE T-PAMI 2023] Unified heterogeneous transformer-based graph neural network for motion prediction