Open AccessThe Premise of Automatic Four-wheel Alignment: Intelligent Identification and Processing of Rim Targets
Author(s) -
Yifan Wang,
Meibao Yao
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2203/1/012007
Subject(s) - computer vision , computer science , process (computing) , artificial intelligence , identification (biology) , matching (statistics) , image processing , machine vision , image (mathematics) , biology , operating system , statistics , botany , mathematics
With high demand of automatic development of four-wheel alignment technology, this paper explores the core technology of automatic detection of four-wheel alignment instrument: intelligent identification and processing of rim target. According to the working process of 3D vision four-wheel aligner, starting from the target positioning, this paper proposes a method based on matching idea to realize the target recognition and positioning; Then the target area image is segmented to obtain the center coordinates on it, which provides a basis for the subsequent calculation of four-wheel positioning parameters. Simulation results demonstrate the effectiveness of our method.