首页|面向无人驾驶的高精地图公开应用趋势研究

面向无人驾驶的高精地图公开应用趋势研究

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高精地图不仅支撑自动驾驶汽车的精准定位和精细路径规划,辅助提高车端感知能力,还可以有效弥补传感器的性能边界,应对多种长尾场景.因此,高精地图成为现阶段实现L4/L5无人驾驶的必备要素.但高精地图作为国家基础性战略信息资源,涉及军事安全和国防安全,因此中国要求高精地图在公开应用前应进行地理信息保密处理,且履行地图审核程序.这导致高精地图在要素和属性的表达上有诸多限制,且缺乏动态更新能力,难以精准反映车辆行驶环境信息,严重影响自动驾驶的安全性与稳定性,无人驾驶的"最后一千米"难以突破.聚焦面向L4/L5无人驾驶的高精地图在应用中的地理信息安全和时效性问题,论述高精地图应用现状、实际需求与面临的挑战,在此基础上,从政策、技术、标准、试点探索等方面,研究分析高精地图在中国无人驾驶商业化落地进程中的公开应用趋势,并对高精地图助推中国无人驾驶落地过程中亟需的地图管理创新、众源更新模式安全合规应用,以及跨部门、跨学科、跨行业合作提供展望.
Open Application Trend of High Definition Map for Unmanned Driving
High definition map not only supports the accurate positioning and fine path planning of autono-mous vehicles,assists in improving the perception capability of the vehicle end,but also effectively makes up the performance boundary of sensors to deal with a variety of long-tail scenarios.Therefore,high defini-tion map has become essential for achieving L4/L5 unmanned driving at this stage.However,high defini-tion map belongs to the basic strategic information resources of the country,involving military and national defense security.Therefore,in terms of policy,China requires high definition map to undergo geographic information confidentiality processing before public application and to comply with map review procedures.This leads to many limitations in the expression of elements and attributes in high definition map,as well as a lack of dynamic updating ability,making it difficult to accurately reflect the driving environment informa-tion of vehicles,seriously affecting the safety and stability of autonomous driving,and making it difficult to break through the"last mile"of unmanned driving.We focus on the issues of geographic information se-curity and timeliness in applying high definition maps for L4/L5 unmanned driving.We comprehensively discuss the current situation,practical needs,and challenges of high definition maps application.Based on this,from policy,technology,standards,pilot exploration,and other aspects,we study and analyze the safety and compliance application trend of high definition maps in the commercialization of unmanned driving in China,and provide prospects for map management innovation,large-scale implementation of crowd-source update models,multi-dimensional collaboration,and cross-departmental,interdisciplinary,and cross-industry cooperation that are urgently needed in the process of high definition maps promoting un-manned driving landing in China.

unmanned drivinghigh definition mapgeographic information securityonline reviewmulti-source update

陈会仙、章炜、杨蒙蒙、温拓朴、刘杰、张建平、陈艳、陈泽佳、杨殿阁

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自然资源部地图技术审查中心,北京,100830

自然资源部地理信息管理司,北京,100812

清华大学车辆与运载学院,北京,100084

北京四维图新科技股份有限公司,北京,100094

HERE 地图,北京,100020

广州纤离科技有限公司,广东 广州,511462

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无人驾驶 高精地图 地理信息安全 在线审查 众源更新

国家自然科学基金联合基金重点项目

U22A20104

2024

武汉大学学报(信息科学版)
武汉大学

武汉大学学报(信息科学版)

CSTPCD北大核心
影响因子:1.072
ISSN:1671-8860
年,卷(期):2024.49(4)
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