测绘通报 ›› 2023, Vol. 0 ›› Issue (6): 6-10,92.doi: 10.13474/j.cnki.11-2246.2023.0160

• 高精地图发展与研究 • 上一篇    下一篇

车载导航到自动驾驶电子地图发展综述

赵明姝   

  1. 高德软件有限公司, 北京 100012
  • 收稿日期:2022-11-14 发布日期:2023-07-05
  • 作者简介:赵明姝(1983-),女,硕士,工程师,主要从事导航电子地图与高辅地图产品形态、内容研究,以及相关地图规格、模型、表达设计的工作。E-mail:mingshuzhao@hotmail.com

Review from vehicle navigation to autonomous driving: the evolution of electronic map

ZHAO Mingshu   

  1. Amap Software Co., Ltd., Beijing 100012, China
  • Received:2022-11-14 Published:2023-07-05

摘要: 本文首先以电子地图在车载导航与自动驾驶领域的数据形态为研究对象,深入剖析了电子地图形态更递与驾驶技术发展的密切联系,伴随驾驶技术的发展,阐述各阶段地图数据内容和模型结构的显著特点;近年来自动驾驶技术迭代对地图数据不断提出全新要求,促使地图内容进一步丰富,甚至超越传统地理信息范畴,需要将环境感知数据、传感器数据、驾驶经验数据等也纳入空间数据体系,依托空间信息实现海量信息综合管理、查询、共享等,然后讨论了地理信息传输模型的拓展,证明以上需求的合理性和必然性,并以导航数据标准(NDS)为例,介绍这一理论实践;最后简要总结了相关技术发展,提出本领域的一些展望。

关键词: 电子地图, 高级辅助驾驶, 自动驾驶, 数据模型, NDS

Abstract: Taking the implement of electronic map in vehicle navigation and autonomous driving as the research object, this paper deeply analyzes the closd relationship between the evolution of electronic map and the development of driving technology. The significant characteristics of map data content and model structure at each stage are discussed along with the development of driving technology.In recent years, the iteration of autonomous driving technology has continuously puts forward new requirements for map data, which has further enriched the map content to extent even beyond the scope of traditional geographic information. It requires add more information to spatial dataframe, including environmental perception data, sensor data, driving experience data and so on. Which enables comprehensive management, query and sharing on massive information. This paper proves the rationality and inevitability of the above requirements by reviewing the geographic information transmission model extension. The international data standard NDS is taken as an example to introduce one of the practices. Finally, summarize the relevant progress in brief and presents an outlook of this field.

Key words: electronic map, advanced driving assistance system, autonomous driving, data model, navigation data standard

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