Applied and Computational Engineering
- The Open Access Proceedings Series for Conferences
Proceedings of the 2023 International Conference on Software Engineering and Machine Learning
Series Vol. 8 , 01 August 2023
Open
Access | Article
Review of Object Detection Challenges in Autonomous Driving
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Abstract
This paper presents a comprehensive review of object detection in autonomous driving applications. The classical object detection network is presented, along with several well-known online resources and benchmark methods. A thorough review of the challenges in object detection for autonomous driving is provided, along with potential solutions to these challenges. By exploring the current state of object detection in autonomous vehicles, this paper aims to contribute to the ongoing efforts to improve the safety and efficiency of autonomous driving technology.
Keywords
auto-driving, object detection, deep learning, machine learning
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2023 International Conference on Software Engineering and Machine Learning
- ISBN (Print)
- 978-1-915371-63-8
- ISBN (Online)
- 978-1-915371-64-5
- Published Date
- 01 August 2023
- Series
- Applied and Computational Engineering
- ISSN (Print)
- 2755-2721
- ISSN (Online)
- 2755-273X
- DOI
- 10.54254/2755-2721/8/20230306
- Copyright
- 01 August 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited