mlsanityData to 7 Oct 2026

Milestones in Autonomous Driving and Intelligent Vehicles Part II: Perception and Planning

arXiv 2306.01980 ↗First posted 3 Jun 2023cs.RO cs.AIcited by 9

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Abstract (arXiv)

Growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their promise for enhanced safety, efficiency, and economic benefits. While previous surveys have captured progress in this field, a comprehensive and forward-looking summary is needed. Our work fills this gap through three distinct articles. The first part, a "Survey of Surveys" (SoS), outlines the history, surveys, ethics, and future directions of AD and IV technologies. The second part, "Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors" delves into the development of control, computing system, communication, HD map, testing, and human behaviors in IVs. This part, the third part, reviews perception and planning in the context of IVs. Aiming to provide a comprehensive overview of the latest advancements in AD and IVs, this work caters to both newcomers and seasoned researchers. By integrating the SoS and Part I, we offer unique insights and strive to serve as a bridge between past achievements and future possibilities in this dynamic field.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 106 of its 205 references that are in the map. First posted on arXiv 3 Jun 2023.

Builds on

106 of 205 references.

References · 106

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38 more
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50 most cited of 106 All 106 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 4; 2024: 3; 2025: 1; 2026: 1.

9 papers.

  1. 2023DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Modelscited by 204
  2. 2023Drive Like a Human: Rethinking Autonomous Driving with Large Language Modelscited by 158
  3. 2024Multi-Agent Reinforcement Learning for Autonomous Driving: A Surveycited by 30
  4. 2025InsightDrive: Insight Scene Representation for End-to-End Autonomous Drivingcited by 14
  5. 2023FusionPlanner: A Multi-task Motion Planner for Mining Trucks via Multi-sensor Fusioncited by 7
  6. 2023What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Drivingcited by 2
  7. 2024A Survey on Hybrid Motion Planning Methods for Automated Driving Systemscited by 1
  8. 2024Scenarios Engineering driven Autonomous Transportation in Open-Pit Minescited by 0
  9. 2026SAFARI: An Industrial Benchmark for LLM-Assisted Hazard Analysis and Risk Assessmentcited by 0