Road disease detection method and device and computer equipment
By introducing a multi-task instance segmentation module and a shadow correction module into the road disease detection model, the road disease detection results are corrected, and the detection effect problem under the influence of shadows is solved and higher detection accuracy is achieved.
CN119693739AActive Publication Date: 2025-03-25ZHEJIANG DAHUA TECH CO LTD
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Patent Information
- Application Number
- CN202510207488.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-25
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2045-02-25
AI Technical Summary
Technical Problem
Existing intelligent algorithms are susceptible to road shadows in road disease detection, resulting in poor detection results.
Method used
By inputting the image to be tested to train a complete road disease detection model, the multi-task instance segmentation module and shadow correction module are used to correct the preliminary detection results of road disease to reduce the impact of shadow misdetection.
Benefits of technology
It improves the accuracy and effectiveness of road disease detection and reduces the impact of shadows on detection results.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to a road disease detection method and device and computer equipment, and the method comprises the steps: inputting a received to-be-detected image into a completely trained road disease detection model, and obtaining a target detection result of a road disease; wherein the road disease detection model is used for performing preliminary detection on each target object in the to-be-detected image to obtain a preliminary detection result; the target object comprises a road disease, a shadow and a shadow associated object; and correcting the preliminary detection result of the road disease based on the preliminary detection result of the shadow and / or the shadow associated object to obtain a target detection result, thereby solving the influence of the shadow on the road surface on the road disease detection accuracy, and improving the road disease detection effect.
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