Finding Lane Positions of Vehicles Infrastructure-Less Cooperative Lane Positioning Based on Vehicular Sensor Networks

被引:16
作者
Chen, Lien-Wu
Shih, Hsiang-Wei
Tsai, Ming-Fong
Deng, Der-Jiunn
机构
[1] Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taichung
[2] Department of Computer Science and Information Engineering, National Changhua University of Education, Changhua, Taiwan
来源
IEEE VEHICULAR TECHNOLOGY MAGAZINE | 2015年 / 10卷 / 04期
关键词
TRACKING;
D O I
10.1109/MVT.2015.2479249
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this article, we proposed an infrastructureless cooperative lane positioning (ICLP) framework using vehicle-to-vehicle (V2V) communications. The ICLP framework applies vehicular sensor networks (VSNs) to localize lane positions of vehicles on roads. ICLP allows the vehicles equipped with image sensors to detect the current located lane without utilizing global positioning system (GPS) locations and roadside infrastructures. Through image sensors, ICLP can keep recognizing the lane position for a vehicle. In addition, ICLP can request lane position information from other vehicles in the same lane as necessary, based on V2V communications. ICLP makes innovative applications of intelligent transportation systems relying on accurate positioning possible, such as lane-level cooperative collision avoidance, dynamic traffic control, and intelligent personal navigation. An Android-based prototype is implemented to verify the feasibility and superiority of our framework. The experimental results show that ICLP can achieve high positioning success ratios and provide accurate lane positions for vehicles.
引用
收藏
页码:70 / 80
页数:11
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