自动驾驶地图演进三阶段全解析，从高精到隐式地图
Maps for Autonomous Driving: Full-process Survey and Frontiers
- 按高精、轻量、隐式三阶段梳理地图演变路径
- 总结各阶段制图流程、挑战与学术界解决方案
- 探索地图新范式如何融入端到端自动驾驶系统
地图始终是自动驾驶的核心组成部分。随着自动驾驶技术的发展，地图的表示形式与生产流程均发生显著演进。本文将地图发展分为三个阶段：高精度（HD）地图、轻量级（Lite）地图和隐式地图。针对每个阶段，系统回顾了地图制作全流程，重点分析关键技术挑战，并归纳学术界提出的相应解决方案。此外，探讨了地图表示的前沿研究进展，以及这些创新如何被整合进端到端自动驾驶框架中。
原文摘要 · Abstract (English)
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.
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