智能高精地图数据逻辑结构与关键技术

doi:10.11947/j.AGCS.2019.20190125

测绘学报 ›› 2019, Vol. 48 ›› Issue (8): 939-953.doi: 10.11947/j.AGCS.2019.20190125

• 综述 • 下一篇

智能高精地图数据逻辑结构与关键技术

刘经南¹, 詹骄¹, 郭迟¹, 李莹², 吴杭彬³, 黄鹤⁴

1. 武汉大学卫星导航定位技术研究中心, 湖北武汉 430079;
2. 百度在线网络技术(北京)有限公司, 北京 100085;
3. 同济大学测绘与地理信息学院, 上海 200092;
4. 北京建筑大学测绘与城市空间信息学院, 北京 102616

收稿日期:2019-04-09 修回日期:2019-05-14 出版日期:2019-08-20 发布日期:2019-08-27
通讯作者: 郭迟 E-mail:guochi@whu.edu.cn
作者简介:刘经南(1943-),男,教授,中国工程院院士,研究方向为卫星大地测量理论、方法、数据处理,卫星导航定位方法、数据处理及应用。
基金资助:
国家重点研发计划（2018YFB1305001）；国家测绘地理信息标准制定项目（道路高精度电子导航地图数据规范；道路高精度电子导航地图生产技术规范）；中国工程院重大咨询研究项目（2018-ZD-02-07）

Data logic structure and key technologies on intelligent high-precision map

LIU Jingnan¹, ZHAN Jiao¹, GUO Chi¹, LI Ying², WU Hangbin³, HUANG He⁴

1. Research Center of GNSS, Wuhan University, Wuhan 430079, China;
2. Baidu Online Network Technology(Beijing) Co. Ltd., Beijing 100085, China;
3. College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China;
4. School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China

Received:2019-04-09 Revised:2019-05-14 Online:2019-08-20 Published:2019-08-27
Supported by:
The National Key Research and Development Program of China (No. 2018YFB1305001);The Standards Establishment Project of National Surveying and Mapping Geographic Information (Data Specifications of Road High-precision Electronic Navigation Map;Production Specifications of Road High-precision Electronic Navigation Map);The Major Consulting and Research Project of Chinese Academy of Engineering (No. 2018-ZD-02-07)

摘要/Abstract

摘要： 以车辆自动驾驶、无人驾驶为研究对象，讨论定义了智能高精地图，认为智能高精地图作为未来出行的关键一环，是交通资源全时空实时感知的载体和交通工具全过程运行管控的依据。智能高精地图作为一种全新的地图形式，与传统导航电子地图相比，在地图学理论和应用需求等方面有其鲜明特点。为推动智能高精地图研究与应用进展，需要对其关键特征与问题展开分析讨论。本文从地图学理论上提出智能高精地图信息传输模型；从实际应用上结合轮式机器人自主智能控制流程，提出智能高精地图数据逻辑结构，并分析其在自动驾驶中的应用；从计算模式上总结"众包+边云协同计算"计算模式，并针对如何提高众包数据质量的问题，开展关键技术分析；从应用场景上分析未来智能高精地图的有效应用场景；最后提出对本领域未来发展的一些思考与建议。

关键词: 智能高精地图, 信息传输模型, 数据逻辑结构, 用户模型, 计算模式, 边云协同

Abstract: This paper takes autonomous driving and driverless as the research object, discusses and defines intelligent high-precision map. In this paper, intelligent high-precision map is considered as a key link of future travel, and a carrier of real-time perception of traffic resources in the entire space-time range, and the criterion for the operation and control of the whole process of the vehicle. As a new form of map, intelligent high-precision map has distinctive features in terms of cartography theory and application requirements compared with traditional navigation electronic maps. In order to promote the development of research and application of intelligent high-precision map, it is necessary to analyze and discuss its key features and problems. This paper proposes the information transmission model from the cartography theory; combines the wheeled robot's control flow from practical application, proposes the data logic structure of intelligent high-precision map, and analyzes its application in autonomous driving; summarizes the computing mode of "crowdsourcing+edge-cloud collaborative computing", and carries out key technical analysis on how to improve the quality of crowdsourced data; analyzes the effective application scenarios of intelligent high-precision map in the future; Finally, presents some thoughts and suggestions for the future development of this field.

Key words: intelligent high-precision map, information transmission model, data logic structure, user model, computing mode, edge-cloud collaboration

中图分类号:

P208

刘经南, 詹骄, 郭迟, 李莹, 吴杭彬, 黄鹤. 智能高精地图数据逻辑结构与关键技术[J]. 测绘学报, 2019, 48(8): 939-953.

LIU Jingnan, ZHAN Jiao, GUO Chi, LI Ying, WU Hangbin, HUANG He. Data logic structure and key technologies on intelligent high-precision map[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(8): 939-953.

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智能高精地图数据逻辑结构与关键技术

Data logic structure and key technologies on intelligent high-precision map

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