车载移动执法中违规车辆智能检测研究

Gang Chen; Bin Chen; Ji De Qian

doi:10.3969/j.issn.1001-0548.2018.03.005

车载移动执法中违规车辆智能检测研究

Translated title of the contribution: Research on Automated Detection Model and Key Technology in Traffic Enforcement on Mobile System

Gang Chen
, Bin Chen
, Ji De Qian

CAS - Chengdu Institute of Computer Application
University of Chinese Academy of Sciences
Chinese Academy of Sciences

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

An intelligent detection model for mobile traffic enforcement is presented to detect the vehicle violations on highways. The system model is divided into four sub-modules including the lane detection, vehicle detection and tracking, inverse perspective transformation and geometric measurement, and map matching for lane locating. The system model algorithm is tested in highway road environment, as well as special tests such as lane line detection, vehicle target and tracking to characterize its performance to detect vehicle violations. The test results show that the system model has certain ability to recognize vehicle violations in complex traffic environment. At the same time, the relevant special tests show that the model can detect and record illegal vehicles quickly and accurately.

Translated title of the contribution	Research on Automated Detection Model and Key Technology in Traffic Enforcement on Mobile System
Original language	Chinese (Traditional)
Pages (from-to)	350-355
Number of pages	6
Journal	Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China
Volume	47
Issue number	3
DOIs	https://doi.org/10.3969/j.issn.1001-0548.2018.03.005
State	Published - 30 May 2018
Externally published	Yes

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title = "车载移动执法中违规车辆智能检测研究",

abstract = "An intelligent detection model for mobile traffic enforcement is presented to detect the vehicle violations on highways. The system model is divided into four sub-modules including the lane detection, vehicle detection and tracking, inverse perspective transformation and geometric measurement, and map matching for lane locating. The system model algorithm is tested in highway road environment, as well as special tests such as lane line detection, vehicle target and tracking to characterize its performance to detect vehicle violations. The test results show that the system model has certain ability to recognize vehicle violations in complex traffic environment. At the same time, the relevant special tests show that the model can detect and record illegal vehicles quickly and accurately.",

keywords = "Lane detection, Map matching, Mobile traffic enforcement, Vehicle detection and tracking, Vehicle violations detection",

author = "Gang Chen and Bin Chen and Qian, \{Ji De\}",

year = "2018",

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doi = "10.3969/j.issn.1001-0548.2018.03.005",

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volume = "47",

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AU - Chen, Gang

AU - Chen, Bin

AU - Qian, Ji De

PY - 2018/5/30

Y1 - 2018/5/30

N2 - An intelligent detection model for mobile traffic enforcement is presented to detect the vehicle violations on highways. The system model is divided into four sub-modules including the lane detection, vehicle detection and tracking, inverse perspective transformation and geometric measurement, and map matching for lane locating. The system model algorithm is tested in highway road environment, as well as special tests such as lane line detection, vehicle target and tracking to characterize its performance to detect vehicle violations. The test results show that the system model has certain ability to recognize vehicle violations in complex traffic environment. At the same time, the relevant special tests show that the model can detect and record illegal vehicles quickly and accurately.

AB - An intelligent detection model for mobile traffic enforcement is presented to detect the vehicle violations on highways. The system model is divided into four sub-modules including the lane detection, vehicle detection and tracking, inverse perspective transformation and geometric measurement, and map matching for lane locating. The system model algorithm is tested in highway road environment, as well as special tests such as lane line detection, vehicle target and tracking to characterize its performance to detect vehicle violations. The test results show that the system model has certain ability to recognize vehicle violations in complex traffic environment. At the same time, the relevant special tests show that the model can detect and record illegal vehicles quickly and accurately.

KW - Lane detection

KW - Map matching

KW - Mobile traffic enforcement

KW - Vehicle detection and tracking

KW - Vehicle violations detection

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车载移动执法中违规车辆智能检测研究

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