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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Evaluation Methods for Vehicle Speed Detection and License Plate Recognition Using Vision-Radar Sensor Systems

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Author Seungki Ryu, Youngtae Jo, Yeohwan Yoon, Gwanho Choi, Sangman Lee
ISSN 2079-8407
On Pages 63-68
Volume No. 7
Issue No. 2
Issue Date March 1, 2016
Publishing Date March 1, 2016
Keywords Vision-radar sensor, speed enforcement system, evaluation method, speed detection accuracy, license plate recognition accuracy


Abstract

In this paper, we introduce evaluation methods for vehicle speed detection and license plate recognition using vision-radar conversion systems. The vision-radar sensor systems can be applied to automatic speed enforcement systems and traffic information surveillance systems. Thus, the accuracy of speed detection and license plate recognition is important for evaluation metrics. In this study, two different data are individually collected by vision cameras and radar sensors respectively, which are converted into speed data by our conversion algorithm. We propose new evaluation methods for vehicle speed detection and license plate recognition by comparing the speed data of vision-radar sensors with reference speed data. Two different evaluation methods have been used for automatic speed enforcement systems and intelligent transportation systems. The proposed methods have different evaluation methodologies in installing equipment, producing reference data, analyzing data, and collecting data. We expect that the proposed evaluation methods will be suitable for other similar systems.
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