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- Title
A Real-Time Complex Road AI Perception Based on 5G-V2X for Smart City Security.
- Authors
Xu, Cheng; Wu, Hongjun; Zhang, Yinong; Dai, Songyin; Liu, Hongzhe; Tian, Jin
- Abstract
The Internet of Vehicles and information security are key components of a smart city. Real-time road perception is one of the most difficult tasks. Traditional detection methods require manual adjustment of parameters, which is difficult, and is susceptible to interference from object occlusion, light changes, and road wear. Designing a robust road perception algorithm is still challenging. On this basis, we combine artificial intelligence algorithms and the 5G-V2X framework to propose a real-time road perception method. First, an improved model based on Mask R-CNN is implemented to improve the accuracy of detecting lane line features. Then, the linear and polynomial fitting methods of feature points in different fields of view are combined. Finally, the optimal parameter equation of the lane line can be obtained. We tested our method in complex road scenes. Experimental results show that, combined with 5G-V2X, this method ultimately has a faster processing speed and can sense road conditions robustly under various complex actual conditions.
- Subjects
SMART cities; ROAD construction; ROAD closures; ARTIFICIAL intelligence; INFORMATION technology security
- Publication
Wireless Communications & Mobile Computing, 2022, Vol 2022, p1
- ISSN
1530-8669
- Publication type
Article
- DOI
10.1155/2022/4405242