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Title	Deep Learning Based Street Parking Sign Detection And Classification For Smart Cities
ID_Doc	17855
Authors	Faraji P.H.; Tohidypour H.R.; Wang Y.; Nasiopoulos P.; Ren S.; Rizvi A.; Feng C.; Pourazad M.T.; Leung V.C.M.
Year	2021
Published	GoodIT 2021 - Proceedings of the 2021 Conference on Information Technology for Social Good
DOI	http://dx.doi.org/10.1145/3462203.3475922
Abstract	Smart traffic management is essential for smart cities. Detection and classification of traffic signs is essential in autonomous driving and in helping with traffic navigation in general. Automated recognition of street parking signs, however, is a more challenging task, due to their small size and huge diversity. Identification of street parking signs is not only helpful in autonomous driving but also in notifying drivers of available parking spaces ahead, significantly alleviating traffic congestion. In this paper, we introduce a new street parking sign detection and classification method that is based on a deep learning network that receives a video feed from a car camera to accurately detect and classify different street parking signs in real-time. Performance evaluations showed that our model achieves mean average precision of 98.56%. © 2021 ACM.
Author Keywords	Deep Learning; Object Detection; Parking Signs; Smart City; YOLOv4

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