Relay navigation strategy study on intelligent drive on urban roads
Relay navigation strategy study on intelligent drive on urban roads作者机构:State Key Laboratory of Software Development Environment Beihang University Beijing 100191 China Information Technology Center Tsinghua University Beijing 100083 China Department of Computer Science and Technology Tsinghua University Beijing 100083 China The 61th Institute of Electronic System Engineering Beijing 100039 China
出 版 物:《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报(英文版))
年 卷 期:2016年第23卷第2期
页 面:79-90页
核心收录:
学科分类:0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 0839[工学-网络空间安全] 08[工学] 082304[工学-载运工具运用工程] 080204[工学-车辆工程] 0838[工学-公安技术] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 0823[工学-交通运输工程]
基 金:supported by the National Natural Science Foundation of China (61035004 61273213 61300006 61305055 90920305 61203366)
主 题:intelligent vehicle intelligent drive urban roads relay navigation strategy
摘 要:In order to solve navigation problem of intelligent vehicle driving on urban roads and to achieve the navigation in intersection area, intersection transition area and section area. The relay navigation strategy and algorithm can solve the navigation problem of intelligent vehicle driving in typical urban roads such as intersection area, intersection transition area and section area, realizing seamless handover among different typical areas. Bezier curve function model was introduced to different typical areas, which solved the self-adaption recognition problem in different typical areas and revised positional accuracy with the help of cloud computing positioning service. In order to explain the strategy implement, an instance based on the strategy was adopted. Instance analysis indicates that as for the navigation problem in intersection area, intersection transition area and section area, if the relay navigation strategy is utilized, the self-adaption recognition problem in different typical areas can be handled. Based on the relay navigation strategy, the drive of intelligent vehicle on urban roads can effectively solve the self-adaption recognition problem in different typical areas in urban and further solve driving problems of intelligent vehicle of the same category in urban roads.