Alternatives and similar repositories for Reason2Drive

Users that are interested in Reason2Drive are comparing it to the libraries listed below

• xmed-lab / NuInstruct
  ☆70Updated last year
• DLUT-LYZ / CODA-LM
  Official PyTorch implementation of CODA-LM(https://arxiv.org/abs/2404.10595)
  ☆99Updated last year
• wudongming97 / Prompt4Driving
  [AAAI2025] Language Prompt for Autonomous Driving
  ☆154Updated 4 months ago
• OpenDriveLab / ELM
  [ECCV 2024] Embodied Understanding of Driving Scenarios
  ☆209Updated 6 months ago
• OpenGVLab / DriveMLM
  ☆184Updated 2 years ago
• SaFo-Lab / Dolphins
  [ECCV 2024] The official code for "Dolphins: Multimodal Language Model for Driving“
  ☆87Updated 11 months ago
• memberRE / AsyncDriver
  [ECCV 2024] Asynchronous Large Language Model Enhanced Planner for Autonomous Driving
  ☆110Updated 8 months ago
• qiantianwen / NuScenes-QA
  [AAAI 2024] NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario.
  ☆225Updated last year
• wayveai / LingoQA
  [ECCV 2024] Official GitHub repository for the paper "LingoQA: Visual Question Answering for Autonomous Driving"
  ☆200Updated last year
• zhijian11 / RoboTron-Drive
  ☆101Updated last year
• ayesha-ishaq / DriveLMM-o1
  Benchmark and model for step-by-step reasoning in autonomous driving.
  ☆68Updated 10 months ago
• llmbev / talk2bev
  Talk2BEV: Language-Enhanced Bird's Eye View Maps (ICRA'24)
  ☆118Updated last year
• LLVM-AD / MAPLM
  [CVPR 2024] MAPLM: A Large-Scale Vision-Language Dataset for Map and Traffic Scene Understanding
  ☆164Updated 2 years ago
• PJLab-ADG / LeapAD
  [NeurIPS 2024] Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
  ☆141Updated 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…
  ☆120Updated last year
• E2E-AD / AD-MLP
  ☆228Updated 2 years ago
• Robertwyq / Drivingdojo
  [NeurIPS 2024] DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model
  ☆83Updated last year
• wzzheng / Doe
  Doe-1: Closed-Loop Autonomous Driving with Large World Model
  ☆116Updated last year
• OpenDriveLab / DriveAdapter
  [ICCV 2023 Oral] A New Paradigm for End-to-end Autonomous Driving to Alleviate Causal Confusion
  ☆244Updated 6 months ago
• turingmotors / NuScenes-MQA
  Official repository for the NuScenes-MQA. This paper is accepted by LLVA-AD Workshop at WACV 2024.
  ☆35Updated 2 years ago
• hustvl / AlphaDrive
  Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning
  ☆314Updated 10 months ago
• liyingyanUCAS / WoTE
  (ICCV2025) End-to-End Driving with Online Trajectory Evaluation via BEV World Model
  ☆192Updated 7 months ago
• Tsinghua-MARS-Lab / DriveVLM
  ☆94Updated last year
• BraveGroup / Drive-WM
  [CVPR 2024] A world model for autonomous driving.
  ☆406Updated 2 years ago
• akshaygopalkr / EM-VLM4AD
  ☆91Updated last year
• XiandaGuo / Drive-MLLM
  [NeurIPS 2025] SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models
  ☆78Updated 4 months ago
• BraveGroup / LAW
  (ICLR2025) Enhancing End-to-End Autonomous Driving with Latent World Model
  ☆311Updated 7 months ago
• Depth2World / VLADBench
  Fine-Grained Evaluation of Large Vision-Language Models in Autonomous Driving (ICCV 2025)
  ☆37Updated 8 months ago
• PurdueDigitalTwin / LaMPilot
  [CVPR 2024] LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs
  ☆35Updated last week
• EMZucas / minidrive
  ☆73Updated 5 months ago