Due to the low accuracy of collecting vehicle position information, the error in the positioning stage is relatively large. Therefore, the collaborative positioning of intelligent vehicle aided navigation based on computer vision technology is proposed. Taking the computer vision equipment-smart cameras VOF/VOF-S as a specific data acquisition device, and combining with the specific running state of the vehicle, the specific parameters in the data acquisition stage are set differently, so as to realize the accurate acquisition of vehicle position information. In the positioning stage, the plane where the wheel is located is taken as the road plane, and the coordinate parameters of data information collected by several road ground points in VOF/VOF-S computer vision technology device are integrated to realize the transformation of vehicle position information in real space. In the test results, the positioning error of vehicle position under different driving conditions is always stable within 1.50m, which has high accuracy.
Research on collaborative positioning of intelligent vehicle aided navigation based on computer vision technology
International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023) ; 2023 ; Qingdao, China
Proc. SPIE ; 12969
09.01.2024
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Real-Time Computer Vision/DGPS-Aided Inertial Navigation System for Lane-Level Vehicle Navigation
Online Contents | 2012
|Vehicle navigation with image-aided global positioning system
Europäisches Patentamt | 2020
|