Tractor-trailer-train braking time sequence detection based on monocular vision

The tractor-trailer-train at the braking process prone to braking instability caused by asynchronous braking between the shafts. With respect to the lack of intelligent detection of Braking Time Sequence (BTS), a non-contact dynamic detection scheme of intelligent vehicle BTS is proposed. Based on t...

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Bibliographic Details
Published inAdvances in mechanical engineering Vol. 13; no. 12
Main Authors Zhang, Libin, Feng, Shiyuan, Shan, Hongying, Wang, Guanran
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.12.2021
Sage Publications Ltd
SAGE Publishing
Subjects
Algorithms
Braking
Computer vision
Contour matching
Image analysis
Intelligent vehicles
Markers
Monocular vision
Slip
Template matching
Tires
Tractor trailers
Tractors
Tractor-trailer train
template matching algorithm
slip rate
braking time sequence
real vehicle test
camera calibration
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Summary:The tractor-trailer-train at the braking process prone to braking instability caused by asynchronous braking between the shafts. With respect to the lack of intelligent detection of Braking Time Sequence (BTS), a non-contact dynamic detection scheme of intelligent vehicle BTS is proposed. Based on the monocular vision principle, the edge markers of tractor-trailer train tires are identified, and the tire slip rate is solved. The noise reduction of the collected image is processed. The marker area is obtained by Blob analysis. This region at the image to be matched is identified by the template matching algorithm based on contour. The camera is calibrated by Zhang’s calibration method. In order to verify the effectiveness of the detection scheme, the real vehicle test was carried out. The test results show that the error of slip rate solution is below 4.2%.
ISSN:1687-8132
1687-8140
DOI:10.1177/16878140211067045