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Universitas Hasanuddin
Research output:Contribution to journal›Article›peer-review
Car Detection in Roadside Parking for Smart Parking System Based on Image Processing
Manase D.K.
Proceedings 2020 International Seminar on Intelligent Technology and Its Application Humanification of Reliable Intelligent Systems Isitia 2020
Published: 2020Citations: 13
Abstract
This study aims to detect vehicles that are on the side of the parking lot so that it can be used as a smart parking system for parking management and find out information on the availability of parking spaces. In this study, the authors used the Haar Cascade Classifier, and YOLOv3 then compared them to get the best accuracy in detecting parked cars. The test was carried out using ten different scenarios, the highest accuracy obtained in this study was 96.88% using YOLOv3 with a probability of 90%. In contrast, the accuracy obtained by using the Haar Cascade Classifier is 63.34%.
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10.1109/ISITIA49792.2020.9163744Other files and links
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Parking lotSciences
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Parking guidance and informationSciences
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