A V2X-Assisted Intelligent Vehicle Target Tracking Method
Lingling Yu, Fandi Yang, Yunsheng Zhu, Ming Cen · Journal of Physics Conference Series · 2020
Abstract In the target tracking scene of connected intelligent vehicles, besides onboard sensors, the V2X is an important approach to acquire target information. In this paper, a target tracking method which introduces the targets’ identity provided by V2X to improve the data association is proposed. The measurements are associated with targets according to conventional method firstly, and then the position data from V2X is used to update the association probability between tracks and measurements. The simulation results show that the proposed method can improve the performance of the target tracking.