Vehicle Positioning System Based on RFID, Vision and UWB

被引：0
|
作者：
Cao L. [1 ]
Chen Z. [1 ]
Yan L. [1 ]
Qin Q. [1 ]
Zhang R. [1 ]
机构：
[1] Hunan University, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Changsha
来源：
Qiche Gongcheng/Automotive Engineering | 2017年 / 39卷 / 02期
关键词：
Intelligent transportation systems; RFID; UWB; Vehicle positioning; Vision;
D O I：
10.19562/j.chinasae.qcgc.2017.02.017
中图分类号：
学科分类号：
摘要：
To obtain the accurate location of vehicles in intelligent transportation systems has important significance to enhancing active safety and implementing autonomous driving. In view of the defects of present global positioning system (GPS) and vehicle-to-infrastructures (V2I) positioning technology, a novel positioning system is proposed by combining radio-frequency identification (RFID), vision and ultra-wideband (UWB) communications, aiming at realizing lane-level positioning in urban environment with poor GPS effects. Both algorithms of lane judgment based on RFID and vision and single RSU V2I positioning based on UWB are put forward, with the error of single RSU V2I positioning in typical conditions analyzed. The results indicate that the proposed system with rational arrangement of RSUs can achieve a positioning accuracy with an error less than 0.3m for straight road and 0.5m for curved road respectively. © 2017, Society of Automotive Engineers of China. All right reserved.
引用
收藏
页码：225 / 231
页数：6
相关论文
共 11 条
  • [1] Jimenez F., Naranjo J.E., Garcia F., Et al., Limitations of positioning systems for developing digital maps and locating vehicles according to the specifications of future driver assistance systems, IET Intelligent Transport Systems, 5, 1, pp. 60-69, (2011)
  • [2] Kumar P., Reddy L., Varma S., Distance measurement and error estimation scheme for RSSI based localization in wireless sensor networks, Wireless Communication and Sensor Networks (WCSN), 2009 Fifth IEEE Conference on, pp. 1-4, (2009)
  • [3] Caceres M., Sottile F., Spirito M.A., WLAN-based real time vehicle locating system, Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th, pp. 1-5, (2009)
  • [4] Huang J., Li X., Sun Y., Et al., A highly-reliable combined positioning method for vehicle in urban complex environments, Vehicular Electronics and Safety (ICVES), 2013 IEEE International Conference on, pp. 153-158, (2013)
  • [5] Paul J., Malhotra B., Dale S., Et al., RFID based vehicular networks for smart cities, Data Engineering Workshops (ICDEW), 2013 IEEE 29th International Conference on, pp. 120-127, (2013)
  • [6] Hassan O., Adly I., Shehata K.A., Vehicle localization system based on ir-uwb for v2i applications, Computer Engineering & Systems (ICCES), 2013 8th International Conference on, pp. 133-137, (2013)
  • [7] Leune T., Wehs T., Janssen M., Et al., Wireless locating and data communication in harsh industrial environments, Emerging Technologies & Factory Automation (ETFA), 2012 IEEE 17th Conference on, pp. 1-4, (2012)
  • [8] Alam N., Balaei A.T., Dempster A.G., An instantaneous lane-level positioning using DSRC carrier frequency offset, IEEE Transactions on Intelligent Transportation Systems, 13, 4, pp. 1566-1575, (2012)
  • [9] Zhang E., Jiang W., Kuang Y., Et al., Active RFID positioning of vehicles in road traffic, Communications and Information Technologies (ISCIT), 2011 11th International Symposium on, pp. 222-227, (2011)
  • [10] Kim Z.W., Robust lane detection and tracking in challenging scenarios, Intelligent Transportation Systems, IEEE Transactions on, 9, 1, pp. 16-26, (2008)
12