ITM Web of Conferences (Jan 2022)

A vehicle positioning algorithm based on vehicle motion state in infrastructure limited scenarios

  • Du Derong,
  • Ding Ziyao,
  • Chen Yueqin,
  • Li Jing,
  • Li Long,
  • Zeng Xiaoping

DOI
https://doi.org/10.1051/itmconf/20224702020
Journal volume & issue
Vol. 47
p. 02020

Abstract

Read online

Positioning technology is the basis for the application of Internet of Vehicles (IoV). The positioning accuracy is generally very low in infrastructure limited scenarios based on satellites or base stations. In this paper, a vehicle positioning algorithm is proposed that combines the information of vehicle historical trajectory and inertial navigation technology. The simulation results show that the proposed algorithm can significantly improve the positioning accuracy in infrastructure limited scenarios.

Keywords