Alternatives and similar repositories for Driving-Thinking-Dataset

Users that are interested in Driving-Thinking-Dataset are comparing it to the libraries listed below

• AIR-DISCOVER / Multi-alignment-Driving-Agent
  ☆27Updated 11 months ago
• metadriverse / cat
  [CoRL'23] Adversarial Training for Safe End-to-End Driving
  ☆77Updated last year
• bonbon-rj / InstructDriver
  ☆45Updated last year
• SEU-zxj / LLM-Augmented-MTR
  Large Language Models Powered Context-aware Motion Prediction
  ☆14Updated 3 weeks ago
• CurryChen77 / FREA
  [CoRL 2024 Oral] FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality
  ☆56Updated 7 months ago
• YixiaoWang7 / OptTrajDiff
  ☆58Updated last year
• NVlabs / CTG
  ☆129Updated last year
• qiaoguanren / TrafficGamer
  This repository is the official implementation of the TrafficGamer.
  ☆30Updated last year
• tsinghua-fib-lab / LCSim
  LCSim: A Large-Scale Controllable Traffic Simulator
  ☆77Updated last year
• MCZhi / Predictive-Decision
  [ITSC 2023] Predictive Decision-making Framework with Interaction-aware Motion Forecasting Model
  ☆120Updated 2 years ago
• javyduck / ChatScene
  [CVPR2024] ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles https://arxiv.org/abs/2405.14062
  ☆166Updated 10 months ago
• mh0797 / interPlan
  ☆119Updated last year
• OscarHuangWind / Learning-from-Intervention
  [ICRA 2024] Learning from Human Guidance: Uncertainty-aware deep reinforcement learning for autonomous driving.
  ☆30Updated last year
• sisl / SceneInformer
  This is the official implementation of the paper "Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially…
  ☆37Updated last year
• georgeliu233 / STrajNet
  [ICRA'23] Code for 'Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving'
  ☆67Updated 2 years ago
• tulerfeng / PlanKD
  [CVPR 2024] On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving
  ☆148Updated last year
• wangyixu14 / llm_conditioned_mpc_ad
  ☆10Updated 2 years ago
• georgeliu233 / OPGP
  [ITSC'23] Code for 'Occupancy Prediction-Guided Neural Planner for Autonomous Driving'
  ☆71Updated last year
• georgeliu233 / HPP
  Hybrid-Prediction Integrated Planning for Autonomous Driving
  ☆47Updated last year
• SafeRoboticsLab / VBD
  VBD: Versatile Behavior Diffusion for Generalized Traffic Agent Simulation
  ☆94Updated 2 months ago
• YimingShu-teay / Safety-critical-Decision-making-and-Control
  This is the source code for IV'23 'Safety-critical Decision-making and Control for Autonomous Vehicles with Highest Priority'.
  ☆22Updated 8 months ago
• zlichen / PPAD
  [ECCV 2024] This is the official implementation of PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driv…
  ☆65Updated last year
• autonomousvision / king
  [ECCV'22] KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
  ☆89Updated 3 years ago
• zilin-huang / PE-RLHF
  The official code for paper "Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Saf…
  ☆41Updated last year
• zachtian / CRITICAL
  ☆23Updated last year
• henryhcliu / udmc_carla
  This repository achieves an optimization-based unified decision-making and control for urban autonomous driving in Carla simulator.
  ☆59Updated 2 months ago
• OpenDriveLab / BeTop
  [NeurIPS 2024] Behavioral Topology (BeTop), a multi-agent behavior formulation for interactive motion prediction and planning
  ☆163Updated 7 months ago
• zhejz / TrafficBots
  TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023. You may also want to check out the …
  ☆72Updated 2 years ago
• SysCV / TrafficBots
  TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023. Code is now available at https://gi…
  ☆53Updated 2 years ago
• OscarHuangWind / Safe-Human-in-the-Loop-RL
  [T-ITS'24] A safety-aware human-in-the-loop Reinforcment Learning (SafeHiL-RL) approach for end-to-end autonomous driving.
  ☆50Updated last year