Issue |
SHS Web Conf.
Volume 194, 2024
The 6th ETLTC International Conference on ICT Integration in Technical Education (ETLTC2024)
|
|
---|---|---|
Article Number | 01004 | |
Number of page(s) | 11 | |
Section | Intelligent Applications in Society | |
DOI | https://doi.org/10.1051/shsconf/202419401004 | |
Published online | 26 June 2024 |
Applications of Computer Vision in Transportation Systems: A Systematic Literature Review
Department of Computer Science and Engineering, The University of Aizu, Fukushima, Japan.
* Corresponding author, Email: droy@u-aizu.ac.jp
This research presents a bibliometric analysis focusing on practical applications of computer vision in transportation systems. The study offers a nuanced understanding of the topic, emphasizing its relevance to areas such as traffic surveillance, management, and road safety. By synthesizing insights from various studies, the analysis provides a comprehensive overview that serves as a valuable foundation for informed decision-making by policymakers and practitioners. The discussion not only highlights current applications but also identifies gaps and limitations in the existing literature. Furthermore, the study offers future directions for the integration of computer vision technologies into diverse transportation scenarios and suggests innovative ideas to overcome current limitations.
Key words: Computer Vision / Transportation System / CNN / YOLO / Image Recognition / Object Detection / Video Analysis
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.