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Deep Learning Techniques for Vehicle Detection and Classification from Images/Videos: A Survey
- Source :
- Sensors. 23:4832
- Publication Year :
- 2023
- Publisher :
- MDPI AG, 2023.
-
Abstract
- Detecting and classifying vehicles as objects from images and videos is challenging in appearance-based representation, yet plays a significant role in the substantial real-time applications of Intelligent Transportation Systems (ITSs). The rapid development of Deep Learning (DL) has resulted in the computer-vision community demanding efficient, robust, and outstanding services to be built in various fields. This paper covers a wide range of vehicle detection and classification approaches and the application of these in estimating traffic density, real-time targets, toll management and other areas using DL architectures. Moreover, the paper also presents a detailed analysis of DL techniques, benchmark datasets, and preliminaries. A survey of some vital detection and classification applications, namely, vehicle detection and classification and performance, is conducted, with a detailed investigation of the challenges faced. The paper also addresses the promising technological advancements of the last few years.
Details
- ISSN :
- 14248220
- Volume :
- 23
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi...........19f799d1c2c77227ce2b8a27cc585921