Chain-of-thought reasoning for driving
Key facts. Chain-of-thought reasoning for driving: 256 papers on arXiv since 2022 (data through 7 Oct 2026). 36 of its 256 mapped papers (14%) cite “Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving” (2023, arXiv 2312.03661). 34 of its 256 mapped papers (13%) cite “OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning” (2024, arXiv 2405.01533). 7 new papers 17 Sep–7 Oct.
What’s new
17 Sep – 7 Oct 2026
7 new papers, 17 Sep – 7 Oct; 2 this week.
- This week · 2
- Explicit Geometric Chain-of-Thought for Vision-Language-Action in Autonomous Driving
- Not All Uncertainty Matters: Simulation-in-the-Loop Fast-Slow Reasoning for Decision-Critical Autonomous Driving System
- Earlier · 5
- From Scene Graphs to Answers: Selective Neuro-Symbolic Reasoning for Autonomous Driving also fits: Spatial and embodied reasoning
- CausalDriveBench: Evaluating Causal Reasoning in Vision-Language-Action Models for Autonomous Driving
- AnchorReasoning: A Visual Grounding and Causal Reasoning Dataset in Long-Tail Autonomous Driving Scenarios
- SlackDrive: Reclaiming Runtime Slack for Adaptive Driving Inference
- ProcessLight: Process Supervision for Large Language Model Based Traffic Signal Control also fits: Reasoning for agents, planning and code
Foundations
Most cited by papers here
- Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving2023cited by 36 here
- OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning2024cited by 34 here
- AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning2025cited by 27 here
- Drive Like a Human: Rethinking Autonomous Driving with Large Language Models2023cited by 21 here
- DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving2024cited by 21 here
Lineage
The papers this direction builds on, oldest first.
Each paper on the line cites the one before.
- 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 65 here
- 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 15 here
- 2022Large Language Models are Zero-Shot Reasonerscited by 11 here
- 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 9 here
- 2023Tree of Thoughts: Deliberate Problem Solving with Large Language Modelscited by 13 here
- 2024DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Modelscited by 34 here
- 2025DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learningcited by 37 here
- 2025AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoningcited by 15 here
- 2025AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuningcited by 27 here
- 2025Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tailcited by 16 here
14 more it builds on, not in this chain
- 2017Proximal Policy Optimization Algorithmscited by 18 here
- 2023LLaMA: Open and Efficient Foundation Language Modelscited by 17 here
- 2023Direct Preference Optimization: Your Language Model is Secretly a Reward Modelcited by 12 here
- 2023Drive Like a Human: Rethinking Autonomous Driving with Large Language Modelscited by 21 here
- 2023Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Drivingcited by 36 here
- 2024DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Drivingcited by 21 here
- 2024OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoningcited by 34 here
- 2024Making Large Language Models Better Planners with Reasoning-Decision Alignmentcited by 13 here
- 2024LLaVA-CoT: Let Vision Language Models Reason Step-by-Stepcited by 9 here
- 2024VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervisioncited by 18 here
- 2025ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generationcited by 19 here
- 2025Qwen3 Technical Reportcited by 18 here
- 2025InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiencycited by 11 here
- 2025AdaThinkDrive: Adaptive Thinking via Reinforcement Learning for Autonomous Drivingcited by 10 here
The 24 most cited of 444.
Browse
30 of 256, ranked 6–35
- 6ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation202519
- 7VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision202418
- 8Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail202516
- 9AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning202515
- 10Making Large Language Models Better Planners with Reasoning-Decision Alignment202413
- 11AdaThinkDrive: Adaptive Thinking via Reinforcement Learning for Autonomous Driving202510
- 12Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models20259
- 13AgentThink: A Unified Framework for Tool-Augmented Chain-of-Thought Reasoning in Vision-Language Models for Autonomous Driving20259
- 14NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving20258
- 15VERDI: VLM-Embedded Reasoning for Autonomous Driving20258
All 30
- 16Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models20248
- 17WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model20248
- 18AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection20257
- 19WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving20247
- 20PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving20247
- 21Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles20237
- 22CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting20256
- 23OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning20255
- 24DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning20255
- 25Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought20255
- 26Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning20255
- 27Driving with Regulation: Trustworthy and Interpretable Decision-Making for Autonomous Driving with Retrieval-Augmented Reasoning20245
- 28FASIONAD : FAst and Slow FusION Thinking Systems for Human-Like Autonomous Driving with Adaptive Feedback20245
- 29LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving20264
- 30LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection20254
- 31ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving20254
- 32OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning20254
- 33ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving20254
- 34STRIDE-QA: Visual Question Answering Dataset for Spatiotemporal Reasoning in Urban Driving Scenes20254
- 35ColaVLA: Leveraging Cognitive Latent Reasoning for Hierarchical Parallel Trajectory Planning in Autonomous Driving20254