A road surface detection method, device, equipment and storage medium
By installing multiple cameras on a road inspection vehicle to collect multiple images from different angles and using a comprehensive confidence algorithm, the problem of inaccurate detection of road surface defects in existing technologies has been solved, achieving higher accuracy in defect type identification and data support.
CN115546724BActive Publication Date: 2026-06-09SHENZHEN URBAN TRANSPORT PLANNING CENT CO LTD +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN URBAN TRANSPORT PLANNING CENT CO LTD
- Filing Date
- 2022-10-12
- Publication Date
- 2026-06-09
AI Technical Summary
Technical Problem
Existing road inspection vehicles are not accurate enough in detecting the types of road surface defects, resulting in the inability to provide accurate data for road maintenance measures and making it difficult to meet the needs of large-scale road maintenance.
Method used
By installing multiple cameras on a road inspection vehicle, multiple target images are collected from different angles, and a comprehensive confidence algorithm is used to determine the type of road surface defects, thereby improving the accuracy of defect type identification.
Benefits of technology
It improves the accuracy of pavement distress type identification, provides more accurate data support, reduces missed and incorrect reports, and lowers the cost of manual labeling.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN115546724B_ABST
Abstract
The application provides a kind of road surface detection method, device, equipment and storage medium, it is related to road surface detection technical field, the method comprises: obtaining the multiple target pictures collected from different angles at the same road disease;According to multiple target pictures, the defect type of the road disease is identified as different road disease and the comprehensive confidence of the defect type is obtained;According to the comprehensive confidence of each defect type, the road disease type of the road disease is obtained.The application obtains comprehensive confidence by collecting multiple photos, obtains the disease type according to comprehensive confidence, so as to improve the accuracy of disease type judgment.
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