高精度地图众源更新地理信息安全问题浅析

doi:10.13474/j.cnki.11-2246.2024.0821

测绘通报 ›› 2024, Vol. 0 ›› Issue (8): 122-127.doi: 10.13474/j.cnki.11-2246.2024.0821

高精度地图众源更新地理信息安全问题浅析

郭圆¹, 李必军², 应申¹, 钟炜³, 周剑²

1. 武汉大学资源与环境科学学院, 湖北武汉 430079;
2. 武汉大学测绘遥感信息工程国家重点实验室, 湖北武汉 430079;
3. 上海市规划和自然资源局测绘产品质量检验站, 上海 200000

收稿日期:2023-12-08 修回日期:2024-04-16 发布日期:2024-09-03
作者简介:郭圆(1992—),女,博士,主要研究方向为高精度地图。E-mail:guoyuan@whu.edu.cn
基金资助:
国家自然科学基金(42201480);中国博士后科学基金(2023M732683);国家重点研发计划(2021YFB2501101)

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

GUO Yuan¹, LI Bijun², YING Shen¹, ZHONG Wei³, ZHOU Jian²

1. School of Resource and Environment Sciences, Wuhan University, Wuhan 430079, China;
2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
3. Shanghai Municipal Bureau of Planning and Natural Resources, Shanghai 200000, China

Received:2023-12-08 Revised:2024-04-16 Published:2024-09-03

摘要/Abstract

摘要： 作为重要的道路先验信息,高精度地图是突破智能驾驶技术瓶颈的关键基础支撑,而众源更新则是制作满足智能驾驶技术发展所需高鲜度地图的可行路径之一。本文着眼于智能汽车高精度地图众源更新涉及的信息安全问题,首先,从众源更新的数据收集、信息提取及检测更新3个关键技术出发,对实践现状和现有技术理论研究进行了总结与分析,并从地理信息安全的角度探讨了众源更新技术中存在的问题;然后,从地理信息安全的角度出发,对高精度地图众源更新现有的政策法规与相关标准进行了梳理;最后,分析并总结了智能汽车高精度地图众源更新的发展对现有政策法规与标准提出的新挑战,并对政策法规与标准的进一步完善提出建议。

关键词: 高精度地图, 智能驾驶, 众源更新, 地理信息安全

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

中图分类号:

郭圆, 李必军, 应申, 钟炜, 周剑. 高精度地图众源更新地理信息安全问题浅析[J]. 测绘通报, 2024, 0(8): 122-127.

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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高精度地图众源更新地理信息安全问题浅析

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

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