Abstract

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.

Details

Title
Applications of Computer Vision in Transportation Systems: A Systematic Literature Review
Author
Yu-Kai, Lin; Cheng-Yang, Tu; Kurosawa, Leo; Jia-He, Liu; Yu-Zhi, Wang; Debopriyo Roy
Section
Intelligent Applications in Society
Publication year
2024
Publication date
2024
Publisher
EDP Sciences
ISSN
24165182
e-ISSN
22612424
Source type
Conference Paper
Language of publication
English
ProQuest document ID
3082663916
Copyright
© 2024. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License.