The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT
ObjectiveVisual inspection is an important technology for the roadside perception of vehicle-road cooperative. But in practice, it is difficult to achieve both optimal detection accuracy and computational efficiency simultaneously due to limited computing resources. This paper proposes a new method...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Editorial Department of Journal of Sichuan University (Engineering Science Edition)
2025-01-01
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| Series: | 工程科学与技术 |
| Subjects: | |
| Online Access: | http://jsuese.scu.edu.cn/thesisDetails#10.12454/j.jsuese.202400467 |
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