智能高精地图数据逻辑结构与关键技术

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。

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

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.