Vehicle positioning is critical for inter-vehicle communication, navigation, vehicle monitoring and tracking. They are regarded as the core technology ensuring safety in everyday-driving. This paper proposes an enhanc...Vehicle positioning is critical for inter-vehicle communication, navigation, vehicle monitoring and tracking. They are regarded as the core technology ensuring safety in everyday-driving. This paper proposes an enhanced vehicle ego-localization method based on streetscape image database. It is most useful in the global positioning system(GPS) blind area. Firstly, a database is built by collecting streetscape images, extracting dominant color feature and detecting speeded up robust feature(SURF) points. Secondly, an image that the vehicle shoots at one point is analyzed to find a matching image in the database by dynamic programming(DP)matching. According to the image similarity, several images with higher probabilities are selected to realize coarse positioning. Finally, different weights are set to the coordinates of the shooting location with the maximum similarity and its 8 neighborhoods according to the number of matching points, and then interpolating calculation is applied to complete accurate positioning. Experimental results show that the accuracy of this study is less than 1.5 m and its running time is about 3.6 s. These are basically in line with the practical need. The described system has an advantage of low cost, high reliability and strong resistance to signal interference, so it has a better practical value as compared with visual odometry(VO) and radio frequency identification(RFID) based approach for vehicle positioning in the case of GPS not working.展开更多
详细阐述了城市车辆导航定位技术的发展现状,深入分析了城市车辆导航定位的特点和需求,在此基础上利用嵌入式开发平台设计实现了基于GPS和RFID(无线射频识别)的车载定位系统,系统主要由GPS模块、RFID模块、GPRS(general packet radio se...详细阐述了城市车辆导航定位技术的发展现状,深入分析了城市车辆导航定位的特点和需求,在此基础上利用嵌入式开发平台设计实现了基于GPS和RFID(无线射频识别)的车载定位系统,系统主要由GPS模块、RFID模块、GPRS(general packet radio service,通用分组无线服务)模块等部分组成。该系统通过接收GPS数据和RFID数据,依托ARM平台进行分析处理,分析处理的结果通过GPRS模块发送到监控中心以实现对车辆的监控与导航。该系统具有实时性好、可靠性高、功耗体积小等显著特点,能够满足现代城市车辆的导航与定位需要。展开更多
基金the National Natural Science Foundation of China(No.51278058)111 Project on Information of Vehicle-Infrastructure Sensing and ITS(No.B14043)+1 种基金the Natural Science Basic Research Program of Shaanxi Province,China(No.2018JQ6091)the Special Fund for Basic Scientific Research of Central Colleges,Chang’an University in China(Nos.310824150012,310824130248,310824141003,310824153103,310824151033,310824164004,300102328204 and 2014G1241046)
文摘Vehicle positioning is critical for inter-vehicle communication, navigation, vehicle monitoring and tracking. They are regarded as the core technology ensuring safety in everyday-driving. This paper proposes an enhanced vehicle ego-localization method based on streetscape image database. It is most useful in the global positioning system(GPS) blind area. Firstly, a database is built by collecting streetscape images, extracting dominant color feature and detecting speeded up robust feature(SURF) points. Secondly, an image that the vehicle shoots at one point is analyzed to find a matching image in the database by dynamic programming(DP)matching. According to the image similarity, several images with higher probabilities are selected to realize coarse positioning. Finally, different weights are set to the coordinates of the shooting location with the maximum similarity and its 8 neighborhoods according to the number of matching points, and then interpolating calculation is applied to complete accurate positioning. Experimental results show that the accuracy of this study is less than 1.5 m and its running time is about 3.6 s. These are basically in line with the practical need. The described system has an advantage of low cost, high reliability and strong resistance to signal interference, so it has a better practical value as compared with visual odometry(VO) and radio frequency identification(RFID) based approach for vehicle positioning in the case of GPS not working.
文摘详细阐述了城市车辆导航定位技术的发展现状,深入分析了城市车辆导航定位的特点和需求,在此基础上利用嵌入式开发平台设计实现了基于GPS和RFID(无线射频识别)的车载定位系统,系统主要由GPS模块、RFID模块、GPRS(general packet radio service,通用分组无线服务)模块等部分组成。该系统通过接收GPS数据和RFID数据,依托ARM平台进行分析处理,分析处理的结果通过GPRS模块发送到监控中心以实现对车辆的监控与导航。该系统具有实时性好、可靠性高、功耗体积小等显著特点,能够满足现代城市车辆的导航与定位需要。
