Vehicle Speed Measurement Method Based on Binocular Vision

Real-time speed measurement is a vital issue to assist truck weighing at the entrance of expressway when a truck passes through a scale.Binocular vision technology technically has the advantages of low cost,easy deployment and high stability,which qualify it a potential for prospective application.T...

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Main Author: CHANG Zi-ting, SHI Yu-qing, WANG Jun, YU Ming-he, YAO Lan, ZHAO Zhi-bin
Format: Article
Language:zho
Published: Editorial office of Computer Science 2021-09-01
Series:Jisuanji kexue
Subjects:
Online Access:http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-135.pdf
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author CHANG Zi-ting, SHI Yu-qing, WANG Jun, YU Ming-he, YAO Lan, ZHAO Zhi-bin
author_facet CHANG Zi-ting, SHI Yu-qing, WANG Jun, YU Ming-he, YAO Lan, ZHAO Zhi-bin
author_sort CHANG Zi-ting, SHI Yu-qing, WANG Jun, YU Ming-he, YAO Lan, ZHAO Zhi-bin
collection DOAJ
description Real-time speed measurement is a vital issue to assist truck weighing at the entrance of expressway when a truck passes through a scale.Binocular vision technology technically has the advantages of low cost,easy deployment and high stability,which qualify it a potential for prospective application.The key point for binocular vision based speed measurement is displacement-measuring of a target,which is subject to accurate target matching in multiple frames.This paper presents an alignment algorithm on region matching based on spatial location and a calculation method for spatial displacement based on template ma-tching.Specifically,relative spatial location of a wheel is introduced to restrain its matching area,which effectively reduces the mismatching on similar wheels; template matching is derived to track the key points of a wheel for spatial displacement between multiple frames.The practical traffic video data taken at an expressway entrance is applied to experiments.The results show that,compared with other binocular vision based speed measurement methods,our method declines the RMSE of the speed measurement results by 20%~40%,and it more suitable for the real scene when vehicles pass the speed measurement point at the entrance of expressway at a relatively high speed(10~20 km/h).
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spelling doaj.art-def0676e2054458a8ce3753e3738e8812022-12-21T22:15:18ZzhoEditorial office of Computer ScienceJisuanji kexue1002-137X2021-09-0148913513910.11896/jsjkx.201000047Vehicle Speed Measurement Method Based on Binocular VisionCHANG Zi-ting, SHI Yu-qing, WANG Jun, YU Ming-he, YAO Lan, ZHAO Zhi-bin01 School of Computer Science and Engineering,Northeast University,Shenyang 110819,China <br/>2 School of Software,Northeast University,Shenyang 110819,China <br/>3 Shenyang Dixin Artificial Intelligence Industry Research Institute Co.,Ltd,Shenyang 110121,ChinaReal-time speed measurement is a vital issue to assist truck weighing at the entrance of expressway when a truck passes through a scale.Binocular vision technology technically has the advantages of low cost,easy deployment and high stability,which qualify it a potential for prospective application.The key point for binocular vision based speed measurement is displacement-measuring of a target,which is subject to accurate target matching in multiple frames.This paper presents an alignment algorithm on region matching based on spatial location and a calculation method for spatial displacement based on template ma-tching.Specifically,relative spatial location of a wheel is introduced to restrain its matching area,which effectively reduces the mismatching on similar wheels; template matching is derived to track the key points of a wheel for spatial displacement between multiple frames.The practical traffic video data taken at an expressway entrance is applied to experiments.The results show that,compared with other binocular vision based speed measurement methods,our method declines the RMSE of the speed measurement results by 20%~40%,and it more suitable for the real scene when vehicles pass the speed measurement point at the entrance of expressway at a relatively high speed(10~20 km/h).http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-135.pdfvehicle speed measurement|alignment on region matching|binocular vision|template matching
spellingShingle CHANG Zi-ting, SHI Yu-qing, WANG Jun, YU Ming-he, YAO Lan, ZHAO Zhi-bin
Vehicle Speed Measurement Method Based on Binocular Vision
Jisuanji kexue
vehicle speed measurement|alignment on region matching|binocular vision|template matching
title Vehicle Speed Measurement Method Based on Binocular Vision
title_full Vehicle Speed Measurement Method Based on Binocular Vision
title_fullStr Vehicle Speed Measurement Method Based on Binocular Vision
title_full_unstemmed Vehicle Speed Measurement Method Based on Binocular Vision
title_short Vehicle Speed Measurement Method Based on Binocular Vision
title_sort vehicle speed measurement method based on binocular vision
topic vehicle speed measurement|alignment on region matching|binocular vision|template matching
url http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-135.pdf
work_keys_str_mv AT changzitingshiyuqingwangjunyumingheyaolanzhaozhibin vehiclespeedmeasurementmethodbasedonbinocularvision