Convolutional Neural Network for Parking Slots Detection
IntelITSIS 2022, pp. 284-293
Editorial summary
A fine-tuned CNN distinguishes occupied and vacant spaces in KhNUParking camera images. The study compares image-processing approaches and measures classification accuracy and processing time. Camera angle, weather and the available image set affect the choice of approach.
Bibliographic reference
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Pavlo Radiuk, Olga Pavlova, Houda El Bouhissi, Volodymyr Avsiyevych, Volodymyr Kovalenko. "Convolutional Neural Network for Parking Slots Detection". IntelITSIS 2022, pp. 284-293, 2022.
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