Title :
Research on maneuvering model algorithm based on vehicle tracking
Author :
Yuncheng Wang ; Qiuyan Li ; Jianhua Wang
Author_Institution :
Coll. of Automotive Eng., Jilin Univ., Changchun, China
Abstract :
Because of vehicle motion uncertainty make vehicle tracking some disadvantages in vehicle active anti-collision warning system, this paper comes up with the maneuvering model algorithm which uses maneuvering parameter to choose maneuvering target tracking algorithm. Maneuvering parameter is proposed in this paper to judge vehicle´s uncertainty. Maneuvering parameter changes with the change of vehicle´s movement constantly. Dynamic scopes can be divided into three intervals within the scope based on maneuvering model algorithm. The different interval corresponds to the maneuvering target tracking algorithm. Through simulation of vehicle driving condition in urban and residual of vehicle tracking process by maneuvering model algorithm and three maneuvering target tracking algorithms. The conclusion is that maneuvering model algorithm is better than others in vehicle tracking performance. The maneuvering model algorithm proposed in this paper can track vehicle´s driving.
Keywords :
Kalman filters; target tracking; Kalman filtering algorithm; maneuvering model algorithm; maneuvering parameter; maneuvering target tracking algorithm; vehicle active anti-collision warning system; vehicle driving condition simulation; vehicle motion uncertainty; vehicle tracking process; Adaptation models; Sonar; maneuvering model algorithm; maneuvering parameter; vehicle tracking;
Conference_Titel :
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
DOI :
10.1109/IWECA.2014.6845688