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.

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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
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article

Design and application of road surface snow cover AI intelligent detection system

Ge Jiao, Dong Chen, Bin Cheng, Yuliang Jin et al.
Cryospheric studies and observations
article

Design and application of road surface snow cover AI intelligent detection system

Ge Jiao, Dong Chen, Bin Cheng, Yuliang Jin, Yang Xiao, Stephen Yan
article en

Abstract

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.

Hengyang Normal University (CN)
Sustainable cities and communities
Openalex Percentile: Top 71%
Cryospheric studies and observations
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