Real-Time Vehicles Tracking Based on Mobile Multi-Sensor Fusion

被引:28
|
作者
Plangi, Siim [1 ]
Hadachi, Amnir [1 ]
Lind, Artjom [1 ]
Bensrhair, Abdelaziz [2 ]
机构
[1] Univ Tartu, ITS Lab, Inst Comp Sci, EE-51014 Tartu, Estonia
[2] INSA Rouen, Natl Inst Appl Sci, LITIS Lab, Ave Univ, F-76800 St Etienne Du Rouvray, France
关键词
Tracking; mobile sensors; multi-sensor fusion; Kalman filter;
D O I
10.1109/JSEN.2018.2873050
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
Tracking and positioning vehicles for navigation purposes are very important in many applications, ranging from simple routing problem to emergency planning and interventions. To this end, numerous approaches and industrial applications have been proposed to serve this purpose; however, there is a lot of work to he done to refine real-time systems for tracking in order to increase their accuracy and performance. Hence, in this paper we are presenting a real-time system that takes advantage of all the embedded sensors in the smartphone, using multi-sensor fusion to provide a real-time system capable of tracking, positioning, and even anticipating the maneuvers of vehicles in real-time.
引用
收藏
页码:10077 / 10084
页数:8
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