Smart City Gnosys

Smart city article details

Title	A Comparative Analysis Of Multi-Label Deep Learning Classifiers For Real-Time Vehicle Detection To Support Intelligent Transportation Systems
ID_Doc	765
Authors	Shokri D.; Larouche C.; Homayouni S.
Year	2023
Published	Smart Cities, 6, 5
DOI	http://dx.doi.org/10.3390/smartcities6050134
Abstract	An Intelligent Transportation System (ITS) is a vital component of smart cities due to the growing number of vehicles year after year. In the last decade, vehicle detection, as a primary component of ITS, has attracted scientific attention because by knowing vehicle information (i.e., type, size, numbers, location speed, etc.), the ITS parameters can be acquired. This has led to developing and deploying numerous deep learning algorithms for vehicle detection. Single Shot Detector (SSD), Region Convolutional Neural Network (RCNN), and You Only Look Once (YOLO) are three popular deep structures for object detection, including vehicles. This study evaluated these methodologies on nine fully challenging datasets to see their performance in diverse environments. Generally, YOLO versions had the best performance in detecting and localizing vehicles compared to SSD and RCNN. Between YOLO versions (YOLOv8, v7, v6, and v5), YOLOv7 has shown better detection and classification (car, truck, bus) procedures, while slower response in computation time. The YOLO versions have achieved more than 95% accuracy in detection and 90% in Overall Accuracy (OA) for the classification of vehicles, including cars, trucks and buses. The computation time on the CPU processor was between 150 milliseconds (YOLOv8, v6, and v5) and around 800 milliseconds (YOLOv7). © 2023 by the authors.
Author Keywords	deep neural network structures; highway cameras; Intelligent Transportation System (ITS); road traffic surveillance; smart cities; vehicle detection and localization

Similar Articles

Id	Similarity	Authors	Title	Published
54356	0.929	Padilla Carrasco D.; Rashwan H.A.; Garcia M.A.; Puig D.	T-Yolo: Tiny Vehicle Detection Based On Yolo And Multi-Scale Convolutional Neural Networks	IEEE Access, 11 (2023)
39607	0.926	Du L.	Object Detectors In Autonomous Vehicles: Analysis Of Deep Learning Techniques	International Journal of Advanced Computer Science and Applications, 14, 10 (2023)
7536	0.92	Khalid M.; Ashraf A.; Bangyal W.H.; Iqbal M.	An Android Application For Unwanted Vehicle Detection And Counting	Proceedings - 2023 Human-Centered Cognitive Systems, HCCS 2023 (2023)
38000	0.92	Abinaya A.; Sumathi S.; Srimathi R.; Santhiya R.V.A.; Sivakamasundari G.; Rani M.P.J.	Moving Vehicles Counting And Detection Using Deep Neural Networks Based Yolo-Nas Algorithm	6th International Conference on Innovative Trends in Information Technology: Secure, Trustworthy and Socially Responsible AI, ICITIIT 2025 (2025)
44409	0.918	Alahdal N.M.; Abukhodair F.; Meftah L.H.; Cherif A.	Real-Time Object Detection In Autonomous Vehicles With Yolo	Procedia Computer Science, 246, C (2024)
32281	0.906	Varshney A.; Arya D.; Katiyar A.; Dubey A.K.	Intelligent And Smart Traffic System Based On Yo-Lo Version-8 Through Video Streaming For Longer Distance Level	Proceedings - International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024 (2024)
60904	0.903	Shihabudeen H.; Rajeesh J.	Vehicle Detection And Classification Using Yolov5 On Fused Infrared And Visible Images	6th International Conference on Inventive Computation Technologies, ICICT 2023 - Proceedings (2023)
35833	0.902	Rani N.G.; Priya N.H.; Ahilan A.; Muthukumaran N.	Lv-Yolo: Logistic Vehicle Speed Detection And Counting Using Deep Learning Based Yolo Network	Signal, Image and Video Processing, 18, 10 (2024)
16594	0.901	Akdag E.; Bondarev E.; De With P.H.N.	Critical Vehicle Detection For Intelligent Transportation Systems	International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings (2022)
22891	0.9	Borse R.; Bhattacharyya A.; Sarkar A.; Bhattacharjee S.	Employing Yolo Model For Traffic Monitoring On Roadways	2024 International Conference on Intelligent Computing and Sustainable Innovations in Technology, IC-SIT 2024 (2024)