摘要
针对构建符合中国特色的高精地图模型的需要,以高精地图模型对显性和隐性道路环境信息需求为出发点,首先阐述影响车辆驾驶行为的国内外道路共性和差异性,分析特殊车道和交通标志在高精地图中的属性表达;从道路基础路网、道路交通设施、道路交通规则、道路交通路况4个方面重点探讨显性和隐性影响车辆驾驶的中国典型道路特征,并针对高精地图模型中静态数据层、道路实时信息层、车辆动态信息层和用户模型层4个层次,详细分析中国典型道路特征对道路要素选择、道路及交通的语义描述以及要素关联和拓扑关系的影响,探讨中国典型道路特征为增强高精地图在自动驾驶路径规划与局部决策应用中的精细度、适用性、安全性提供的支持,为更精准的自动驾驶和智能交通提供支撑。
Aiming at the demand for building high-definition map model with Chinese road typical characteristics(CRTC),this paper starts from the demands of explicit and implicit road and traffic information for autonomous driving,and describes their commonality and difference that affect vehicle driving behaviors between China and other countries.The paper illustrates CRTC from four aspects including basic road network,road signal facilities,road traffic rules and traffic road conditions,then detail analysis of CRTC impacts on map element selections,road and traffic semantic descriptions,the associations and spatial relationships among different map objects are discussed.CRTC can improve modeling high-definition maps and enhance the fineness,the applicability and the security for path planning and local motion decision in traffic environment to promote the autonomous driving and intelligent transportation.
作者
应申
李桦
蒋跃文
王润泽
顾江岩
YING Shen;LI Hua;JIANG Yuewen;WANG Runze;GU Jiangyan(School of Resource and Environmental Sciences,Wuhan University,Wuhan 430079,China;Key Laboratory of Geographic Information System(Ministry of Education),Wuhan University,Wuhan 430079,China;Collaborative Innovation Center of Geospatial Technology,Wuhan University,Wuhan 430079,China)
出处
《测绘科学》
CSCD
北大核心
2024年第5期154-162,共9页
Science of Surveying and Mapping
基金
“十四五”国家重点研发计划项目(2021YFB2501101)
关键词
自动驾驶
高精地图
中国典型道路特征
道路共性
交通规则
交通设施
autonomous driving
high-definition map
Chinese road characteristics
road commonality
traffic rules
road signal facilities
