非匀速条件下车辆底盘超近距成像测量方法

doi:10.3969/j.issn.1000-1158.2024.02.06

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Abstract Aiming at the technical problems of axle-type recognition under the condition of non-uniform vehicle speed, such as ultra-close distance, large area, and low distortion imaging, a method of ultra-close imaging correction and mosaic for vehicle chassis with speed-adaptive ability is proposed. The ultra-wide-angle image sequences of a moving vehicle chassis are collected by a fish-eye camera, and a method of circle fitting by multi-sample points is proposed to extract the region of interest (ROI). The method for image distortion correction is then performed using an isometric projection model based on the 3D imaging geometry model. Aiming at the problem of vehicles non-uniform speed, which leads to large range of the overlap area between videos adjacent frames, a multi-step layered key frame extraction is carried out with image content overlap analysis technology, avoiding the influence of uneven image distribution on mosaic results. The experimental results show that the proposed method can obtain clear and complete vehicle chassis images with lower distortion at the distance of 20～50cm under the condition of non-uniform vehicle speed, with a 5% average measuring error of the vehicle axles distance.

Key words： geometric measurement vehicle chassis measurement non-uniform speed machine vision image mosaic video key frames fish-eye image correction

Received: 04 May 2023 Published: 21 February 2024

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TB921

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	Articles by authors
	ZHANG Yueying
	YIN Qihao
	JING Genqiang
	YAN Luxin
	WANG Xiangxun

Cite this article:

ZHANG Yueying,YIN Qihao,JING Genqiang, et al. Ultra-close Vehicle Chassis Imaging Measurement under Non-uniform Speed[J]. Acta Metrologica Sinica, 2024, 45(2): 178-185.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2024.02.06 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2024/V45/I2/178

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