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https://elib.vku.udn.vn/handle/123456789/2742
Nhan đề: | Car Detector Based on YOLOv5 for Parking Management |
Tác giả: | Nguyen, Duy Linh Vo, Xuan Thuy Adri, Priadana Kang-Hyun, Jo |
Từ khoá: | Convolutional neural network (CNN) EfficientNet PP-LCNet Parking management YOLOv5 |
Năm xuất bản: | thá-2023 |
Nhà xuất bản: | Springer Nature |
Tóm tắt: | Nowadays, YOLOv5 is one of the most widely used object detection network architectures in real-time systems for traffic management and regulation. To develop a parking management tool, this paper proposes a car detection network based on redesigning the YOLOv5 network architecture. This research focuses on network parameter optimization using lightweight modules from EfficientNet and PP-LCNet architectures. The proposed network is trained and evaluated on two benchmark datasets which are the Car Parking Lot Dataset and the Pontifical Catholic University of Parana+ Dataset and reported on mAP@0.5 and mAP@0.5:0.95 measurement units. As a result, this network achieves the best performances at 95.8 % and 97.4 % of mAP@0.5 on the Car Parking Lot Dataset and the Pontifical Catholic University of Parana+ Dataset, respectively. |
Mô tả: | Lecture Notes in Networks and Systems (LNNS, volume 734); CITA: Conference on Information Technology and its Applications; pp: 102-113. |
Định danh: | https://link.springer.com/chapter/10.1007/978-3-031-36886-8_9 http://elib.vku.udn.vn/handle/123456789/2742 |
ISBN: | 978-3-031-36886-8 |
Bộ sưu tập: | CITA 2023 (International) |
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