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Customized Mobile LiDAR System for Manhole Cover Detection and Identification
Zhanying Wei1,2, Mengmeng Yang3,4, Liuzhao Wang5
1Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing 100048, China. zhanyingwei@sina.com.
Sensors (Basel, Switzerland)
|May 30, 2019
Summary
This study introduces an automated system for detecting, identifying, and assessing manhole covers, enhancing urban infrastructure management and travel safety. The developed system achieves high accuracy, improving road administration and reducing manual inspection risks.
Area of Science:
- Urban infrastructure management
- Road safety engineering
- Computer vision for civil engineering
Background:
- Manhole covers are critical for urban infrastructure and directly impact travel safety.
- Current methods for manhole cover inspection are manual, posing risks and lacking efficiency.
- There is a need for an automated, safe, and efficient system for intelligent manhole cover management.
Purpose of the Study:
- To develop an automated system for the detection, identification, and assessment of manhole covers.
- To improve the accuracy and efficiency of manhole cover monitoring.
- To support intelligent road administration and reduce manual inspection risks.
Main Methods:
- Developed a sequential exposure system with multiple cameras for joint laser data and image acquisition.
- Proposed an improved histogram of oriented gradients with symmetry features and a support vector machine for detection.
- Utilized graph segmentation and statistical analysis for detection, identification, and assessment.
Main Results:
- Achieved an average accuracy of 96.18%, completeness of 94.27%, and F-measure of 95.22% in manhole cover detection.
- Enabled defective manhole cover monitoring and identification of ownership information.
- Demonstrated the system's feasibility and effectiveness through large-scale experimental datasets.
Conclusions:
- The proposed automated system significantly improves manhole cover detection accuracy and efficiency.
- The system provides valuable support for road administration tasks, including data acquisition and resource analysis.
- This technology offers a safer and more effective alternative to manual manhole cover inspections, contributing to intelligent urban management.
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