Alternatives and similar repositories for NuScenes-MQA

Users that are interested in NuScenes-MQA are comparing it to the libraries listed below

• PurdueDigitalTwin / LaMPilot
  [CVPR 2024] LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs
  ☆31Updated last year
• wudongming97 / Prompt4Driving
  [AAAI2025] Language Prompt for Autonomous Driving
  ☆141Updated 7 months ago
• fudan-zvg / Reason2Drive
  Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving
  ☆89Updated last year
• ayesha-ishaq / DriveLMM-o1
  Benchmark and model for step-by-step reasoning in autonomous driving.
  ☆61Updated 4 months ago
• DLUT-LYZ / CODA-LM
  Official PyTorch implementation of CODA-LM(https://arxiv.org/abs/2404.10595)
  ☆92Updated 7 months ago
• XiandaGuo / Drive-MLLM
  ☆45Updated last month
• xmed-lab / NuInstruct
  ☆63Updated 11 months ago
• llmbev / talk2bev
  Talk2BEV: Language-Enhanced Bird's Eye View Maps (ICRA'24)
  ☆112Updated 8 months ago
• drive-bench / toolkit
  [ICCV'25] Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
  ☆90Updated last week
• qiantianwen / NuScenes-QA
  [AAAI 2024] NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario.
  ☆197Updated 8 months ago
• LLVM-AD / MAPLM
  [CVPR 2024] MAPLM: A Large-Scale Vision-Language Dataset for Map and Traffic Scene Understanding
  ☆142Updated last year
• zhijian11 / DriveMM
  ☆76Updated 6 months ago
• memberRE / AsyncDriver
  [ECCV 2024] Asynchronous Large Language Model Enhanced Planner for Autonomous Driving
  ☆96Updated last month
• OpenGVLab / DriveMLM
  ☆179Updated last year
• EMZucas / minidrive
  ☆76Updated 4 months ago
• PJLab-ADG / LeapAD
  [NeurIPS 2024] Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
  ☆130Updated 6 months ago
• SaFoLab-WISC / Dolphins
  [ECCV 2024] The official code for "Dolphins: Multimodal Language Model for Driving“
  ☆78Updated 5 months ago
• LeningWang / AccidentGPT
  ☆26Updated last year
• Depth2World / VLADBench
  Fine-Grained Evaluation of Large Vision-Language Models in Autonomous Driving (ICCV 2025)
  ☆22Updated last month
• YuanJianhao508 / RAG-Driver
  A Multi-Modal Large Language Model with Retrieval-augmented In-context Learning capacity designed for generalisable and explainable end-t…
  ☆101Updated 9 months ago
• akshaygopalkr / EM-VLM4AD
  ☆80Updated 8 months ago
• wzzheng / Doe
  Doe-1: Closed-Loop Autonomous Driving with Large World Model
  ☆98Updated 5 months ago
• OpenDriveLab / ELM
  [ECCV 2024] Embodied Understanding of Driving Scenarios
  ☆198Updated 2 weeks ago
• reachpranjal / lego-drive
  [Official] [IROS 2024] A goal-oriented planning to lift VLN performance for Closed-Loop Navigation: Simple, Yet Effective
  ☆28Updated last year
• rolsheng / MM-VUFM4DS
  【IEEE T-IV】A systematic survey of multi-modal and multi-task visual understanding foundation models for driving scenarios
  ☆51Updated last year
• Petrichor625 / Talk2car_CAVG
  [Communication in Transprotation Reasearch] Official PyTorch Implementation of ''GPT-4 enhanced multimodal grounding for autonomous driv…
  ☆24Updated 8 months ago
• wayveai / LingoQA
  [ECCV 2024] Official GitHub repository for the paper "LingoQA: Visual Question Answering for Autonomous Driving"
  ☆175Updated 9 months ago
• Tsinghua-MARS-Lab / DriveVLM
  ☆91Updated 9 months ago
• michigan-traffic-lab / LightEMMA
  This repo contains the code for paper "LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving"
  ☆87Updated 2 months ago
• rese1f / Awesome-DriveLM
  📚 A collection of resources and papers on Large Language Models in autonomous driving
  ☆27Updated last year