mlsanityData to 14 Oct 2026

Maps for Autonomous Driving: Full-process Survey and Frontiers

arXiv 2509.12632 ↗First posted 16 Sep 2025cs.CVcited by 1

On the map: End-to-end autonomous driving → End-to-end system architecture

Abstract (arXiv)

Maps have always been an essential component of autonomous driving. With the advancement of autonomous driving technology, both the representation and production process of maps have evolved substantially. The article categorizes the evolution of maps into three stages: High-Definition (HD) maps, Lightweight (Lite) maps, and Implicit maps. For each stage, we provide a comprehensive review of the map production workflow, with highlighting technical challenges involved and summarizing relevant solutions proposed by the academic community. Furthermore, we discuss cutting-edge research advances in map representations and explore how these innovations can be integrated into end-to-end autonomous driving frameworks.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in End-to-end system architecture, one of 9 directions in End-to-end autonomous driving. Builds on 81 of its 222 references that are in the map. First posted on arXiv 16 Sep 2025.

Builds on

81 of 222 references.

Closest ancestors · 4

Same direction, newest first

  1. 2024DeepInteraction++: Multi-Modality Interaction for Autonomous Driving9 Aug
  2. 2024QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving1 Apr
  3. 2023NeuRAD: Neural Rendering for Autonomous Driving26 Nov
  4. 2023FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving2 Aug

Other references · 77

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38 more
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50 most cited of 77 All 77 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Scene Reconstruction as Mapping Priors for 3D Detectioncited by 0

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  1. 2026The Road Ahead in Autonomous Driving: The KITScenes Multimodal Dataset
  2. 2023End-to-end Autonomous Driving: Challenges and Frontiers
  3. 2025MAP: End-to-End Autonomous Driving with Map-Assisted Planning
  4. 2025Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey
  5. 2024World Models for Autonomous Driving: An Initial Survey
  6. 2025The Role of World Models in Shaping Autonomous Driving: A Comprehensive Survey
  7. 2026RoadWeaver: Large-Scale Lane-Level HD Map Generation from Scratch for Autonomous Driving Simulation
  8. 2025From Static to Dynamic: a Survey of Topology-Aware Perception in Autonomous Driving