自动驾驶高精地图的信息传输模型  

Information Transmission Model of High Definition Map for Autonomous Driving

作　　者：尹章才[1] 齐如煜 应申[2] YIN Zhangcai;QI Ruyü;YING Shen(School of Resources and Environmental Engineering,Wuhan University of Technology,Wuhan 430070,China;School of Resource and Environmental Sciences,Wuhan University,Wuhan 430079,China)

机构地区：[1]武汉理工大学资源与环境工程学院,湖北武汉430070 [2]武汉大学资源与环境科学学院,湖北武汉430079

出　　处：《武汉大学学报（信息科学版）》2024年第4期527-536,共10页Geomatics and Information Science of Wuhan University

基　　金：国家重点研发计划(2021YFB2501100,2021YFB2501101)。

摘　　要：高精地图的“非视觉”和面向机器特性,使其与传统面向人的时空产品有明显不同,相应的描述地图主、客体及其与产品之间关系的传输模型也面临巨大变革。已有的传输模型重构了上述关系,包括新增用户个性信息及其传输,但也存在信息传递工具仍采用面向人而非机器的地图语言等不足。为此,结合自动驾驶中地图信息的传输特点,构建面向机器认知的高精地图信息传输模型,通过对已有的传输模型进行扩展:GIS语言代替地图语言,将用户个性信息整合到高精地图的用户图层中,将行动指导扩展为行动实践。研究结果表明,构建的全机器认知的高精地图信息传输模型实现了地图信息认知的主体由人到机器的扩展,适应了高精地图在感知、定位、规划、控制等传输过程中全人工智能的特性。所提出的模型一方面有助于准确把握高精地图的本质及内容结构,提升认知效果;另一方面,对驾驶服务具有重要的指导作用,包括内容选取、表达方法、系统功能框架设计等,提高传输效率。Objectives:The“non-visual”and machine-oriented characteristics of high definition map dis⁃tinguish them from traditional human-oriented spatiotemporal products.Correspondingly,the transmission model describing the relationships between map subjects,objects,and their products also faces significant changes.Existing high definition map information transmission models have reconstructed these relation⁃ships,including the addition of user-specific information and its transmission.However,there are still shortcomings in the use of human-oriented map language instead of machine-oriented language as the infor⁃mation transmission tool.To address this,we combine the transmission characteristics of map information in autonomous driving and construct a machine-oriented cognitive high definition map information transmis⁃sion model.Methods:We propose three extensions to the existing map information transmission model:Substituting GIS language for map language,integrating user-specific information into the user layer of high definition map,and expanding action guidance to action practice.Results:The research results show that the constructed machine-oriented cognitive high definition map information transmission model has ex⁃tended the subject of map information cognition from humans to machines,adapting to the full artificial in⁃telligence characteristics of high definition map in the transmission process of perception,localization,plan⁃ning,and control.Conclusions:The proposed model contributes to accurately grasping the essence and content structure of high definition map,enhancing cognitive performance.Additionally,it plays an impor⁃tant guiding role in driving services,including content selection,expression methods,system functional framework design,and improving transmission efficiency.

关 键 词：高精地图 地图信息传输模型 自动驾驶 地图空间认知 

分 类 号：P208[天文地球—地图制图学与地理信息工程]