An overview of geographical information security in crowdsourced updating of high-definition maps

doi:10.13474/j.cnki.11-2246.2024.0821

Abstract

Abstract: High-definition (HD) maps, as crucial precursory information, stand as a key technology in overcoming bottlenecks in intelligent driving. Among the feasible methods for maintaining highly updated HD maps, crowdsourced updating emerges as a viable solution. This paper primarily focuses on the information security issues associated with crowdsourced updating of HD maps. Starting with an exploration of the three critical technologies: data collection, information extraction, and change detection, related to crowdsourced updates, the paper summarizes and analyzes the current research status. It delves into the problems existing in crowdsourced updating technology from the perspective of geographical information security. Furthermore, it reviews the existing policies, regulations, and relevant standards related to geographical information security in the context of crowdsourced updating of HD maps. Finally, it analyzes and summarizes the new challenges posed by the development of crowdsourced updating for HD maps to existing policies, regulations, and standards from the perspective of geographical information security. It concludes with suggestions for further refinement and improvement of policies, regulations, and standards.

Key words: high-definition map, intelligent driving, crowdsourced update, geographical information security

CLC Number:

GUO Yuan, LI Bijun, YING Shen, ZHONG Wei, ZHOU Jian. An overview of geographical information security in crowdsourced updating of high-definition maps[J]. Bulletin of Surveying and Mapping, 2024, 0(8): 122-127.

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