Design and application of road surface snow cover AI intelligent detection system
In terms of road snow detection, the existing snow detection methods have a series of problems, such as low detection accuracy and poor real-time performance. In order to solve this problem, the road surface snow AI intelligent detection system is designed. The system collects road pictures, snow depth, temperature and humidity, longitude and longitude in real time through intelligent detection box, and detects the snow situation on the road surface through AI intelligent detection algorithm, realize accurate automatic processing and visual management of snow on the road surface, and reduce manual intervention. Experiments prove that this system has wide application prospects and can adapt to different scenarios and requirements.
Authors
- Ge Jiao (ORCID: https://orcid.org/0000-0002-6202-3158)
- Dong Chen (ORCID: https://orcid.org/0000-0001-6495-678X)
- Bin Cheng (ORCID: https://orcid.org/0000-0001-8156-8412)
- Yuliang Jin (ORCID: https://orcid.org/0000-0001-8310-4582)
- Yang Xiao (ORCID: https://orcid.org/0000-0001-8033-9909)
- Stephen Yan (ORCID: https://orcid.org/0000-0001-6505-0859)
Institutions
- Hengyang Normal University (CN)
Publication Details
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1109/eiecc64539.2024.10929218
- Primary Topic
- Cryospheric studies and observations
- Type
- article
- Field-Weighted Citation Impact
- 0.00