Last Decade in Vehicle Detection and Classification: A Comprehensive Survey
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11831-022-09764-1.pdf
Reference134 articles.
1. Naseer S, Shah SMA, Aziz S, Khan MU, Iqtidar K (2020) Vehicle make and model recognition using deep transfer learning and support vector machines. In: 2020 IEEE 23rd International Multitopic Conference (INMIC), pp 1–6
2. Nazemi A, Azimifar Z, Shafiee MJ, Wong A (2019) Real-time vehicle make and model recognition using unsupervised feature learning. IEEE Trans Intell Transp Syst 21(7):3080–3090
3. Zhu X, Lyu S, Wang X, Zhao Q (2021) TPH-YOLOv5: improved YOLOv5 based on transformer prediction head for object detection on drone-captured scenarios. In: Proceedings of the IEEE/CVF international conference on computer vision, pp 2778–2788
4. Wang D, Al-Rubaie A, Alsarkal YI, Stincic S, Davies J (2021) Cost effective and accurate vehicle make/model recognition method using YoloV5. In: 2021 international conference on smart applications, communications and networking (SmartNets), pp 1–4
5. Hsieh J-W, Chen L-C, Chen D-Y (2014) Symmetrical SURF and its applications to vehicle detection and vehicle make and model recognition. IEEE Trans Intell Transp Syst 15(1):6–20
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