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Computer Vision Applications in Intelligent Transportation Systems: A Survey
As technology continues to develop, computer vision (CV) applications are becoming increasingly widespread in the intelligent transportation systems (ITS) context. These applications are developed to improve the efficiency of transportation systems, increase their level of intelligence, and enhance...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051529/ https://www.ncbi.nlm.nih.gov/pubmed/36991649 http://dx.doi.org/10.3390/s23062938 |
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author | Dilek, Esma Dener, Murat |
author_facet | Dilek, Esma Dener, Murat |
author_sort | Dilek, Esma |
collection | PubMed |
description | As technology continues to develop, computer vision (CV) applications are becoming increasingly widespread in the intelligent transportation systems (ITS) context. These applications are developed to improve the efficiency of transportation systems, increase their level of intelligence, and enhance traffic safety. Advances in CV play an important role in solving problems in the fields of traffic monitoring and control, incident detection and management, road usage pricing, and road condition monitoring, among many others, by providing more effective methods. This survey examines CV applications in the literature, the machine learning and deep learning methods used in ITS applications, the applicability of computer vision applications in ITS contexts, the advantages these technologies offer and the difficulties they present, and future research areas and trends, with the goal of increasing the effectiveness, efficiency, and safety level of ITS. The present review, which brings together research from various sources, aims to show how computer vision techniques can help transportation systems to become smarter by presenting a holistic picture of the literature on different CV applications in the ITS context. |
format | Online Article Text |
id | pubmed-10051529 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100515292023-03-30 Computer Vision Applications in Intelligent Transportation Systems: A Survey Dilek, Esma Dener, Murat Sensors (Basel) Review As technology continues to develop, computer vision (CV) applications are becoming increasingly widespread in the intelligent transportation systems (ITS) context. These applications are developed to improve the efficiency of transportation systems, increase their level of intelligence, and enhance traffic safety. Advances in CV play an important role in solving problems in the fields of traffic monitoring and control, incident detection and management, road usage pricing, and road condition monitoring, among many others, by providing more effective methods. This survey examines CV applications in the literature, the machine learning and deep learning methods used in ITS applications, the applicability of computer vision applications in ITS contexts, the advantages these technologies offer and the difficulties they present, and future research areas and trends, with the goal of increasing the effectiveness, efficiency, and safety level of ITS. The present review, which brings together research from various sources, aims to show how computer vision techniques can help transportation systems to become smarter by presenting a holistic picture of the literature on different CV applications in the ITS context. MDPI 2023-03-08 /pmc/articles/PMC10051529/ /pubmed/36991649 http://dx.doi.org/10.3390/s23062938 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Dilek, Esma Dener, Murat Computer Vision Applications in Intelligent Transportation Systems: A Survey |
title | Computer Vision Applications in Intelligent Transportation Systems: A Survey |
title_full | Computer Vision Applications in Intelligent Transportation Systems: A Survey |
title_fullStr | Computer Vision Applications in Intelligent Transportation Systems: A Survey |
title_full_unstemmed | Computer Vision Applications in Intelligent Transportation Systems: A Survey |
title_short | Computer Vision Applications in Intelligent Transportation Systems: A Survey |
title_sort | computer vision applications in intelligent transportation systems: a survey |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051529/ https://www.ncbi.nlm.nih.gov/pubmed/36991649 http://dx.doi.org/10.3390/s23062938 |
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