PurdueDigitalTwin / LaMPilot

Related projects ⓘ

Alternatives and complementary repositories for LaMPilot

• fudan-zvg / Reason2Drive
  Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving
  ☆72Updated 10 months ago
• xmed-lab / NuInstruct
  ☆50Updated 3 months ago
• wudongming97 / Prompt4Driving
  ☆120Updated 4 months ago
• llmbev / talk2bev
  Talk2BEV: Language-Enhanced Bird's Eye View Maps (ICRA'24)
  ☆99Updated 3 weeks ago
• turingmotors / NuScenes-MQA
  Official repository for the NuScenes-MQA. This paper is accepted by LLVA-AD Workshop at WACV 2024.
  ☆24Updated 11 months ago
• qiantianwen / NuScenes-QA
  [AAAI 2024] NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario.
  ☆160Updated 3 weeks ago
• BraveGroup / LAW
  Enhancing End-to-End Autonomous Driving with Latent World Model
  ☆86Updated 5 months ago
• wayveai / LingoQA
  [ECCV 2024] Official GitHub repository for the paper "LingoQA: Visual Question Answering for Autonomous Driving"
  ☆140Updated last month
• DLUT-LYZ / CODA-LM
  Official PyTorch implementation of CODA-LM(https://arxiv.org/abs/2404.10595)
  ☆68Updated 3 weeks ago
• OpenDriveLab / ELM
  [ECCV 2024] Embodied Understanding of Driving Scenarios
  ☆151Updated 3 weeks ago
• OpenGVLab / DriveMLM
  ☆153Updated 11 months ago
• LLVM-AD / MAPLM
  [CVPR 2024] MAPLM: A Large-Scale Vision-Language Dataset for Map and Traffic Scene Understanding
  ☆107Updated last year
• LLVM-AD / ucu-dataset
  [WACV 2024 LLVM-AD Challenge] UCU Dataset
  ☆14Updated last year
• YuanJianhao508 / RAG-Driver
  A Multi-Modal Large Language Model with Retrieval-augmented In-context Learning capacity designed for generalisable and explainable end-t…
  ☆75Updated last month
• memberRE / AsyncDriver
  [ECCV 2024] Asynchronous Large Language Model Enhanced Planner for Autonomous Driving
  ☆32Updated last month
• jeffreychou777 / LOTVS-MM-AU
  [CVPR2024 Highlight] The official repo for paper "Abductive Ego-View Accident Video Understanding for Safe Driving Perception"
  ☆30Updated last month
• PJLab-ADG / LeapAD
  Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
  ☆64Updated last month
• Robertwyq / Drivingdojo
  [NeurIPS 2024] DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model
  ☆31Updated this week
• sreeramsa / DriveSim
  Simulator designed to generate diverse driving scenarios.
  ☆33Updated 6 months ago
• tianqi-wang1996 / DeepAccident
  Code for the benchmark - DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving.
  ☆65Updated last year
• Tsinghua-MARS-Lab / DriveVLM
  ☆64Updated last month
• metadriverse / SimGen
  Simulator-conditioned Driving Scene Generation
  ☆63Updated 4 months ago
• f1yfisher / DriveDreamer2
  ☆105Updated 8 months ago
• OpenDriveLab / BeTop
  [NeurIPS 2024] Behavioral Topology (BeTop), a multi-agent behavior formulation for interactive motion prediction and planning
  ☆58Updated last week
• alfredgu001324 / MapBEVPrediction
  [ECCV 2024] Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention
  ☆64Updated 2 months ago
• Ariostgx / lctgen
  [CoRL 2023] The official code for paper "Language Conditioned Traffic Generation"
  ☆65Updated 4 months ago
• alfredgu001324 / MapUncertaintyPrediction
  [CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
  ☆169Updated 4 months ago
• akshaygopalkr / EM-VLM4AD
  ☆50Updated last week
• ziqipang / StreamingForecasting
  [IROS 2023] "Streaming Motion Forecasting for Autonomous Driving"
  ☆37Updated last year