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Detection and Analysis of Pavement-Section Based on Laser Displacement Sensor.
Jin Han1, Gao Xiong1, Jia Liu1
1School of Mechanical Engineering, Shaanxi University of Technology, Hanzhong 723001, China.
Sensors (Basel, Switzerland)
|August 12, 2023
Summary
This study presents a high-speed, vehicle-mounted system for accurate pavement section detection. The method uses fused sensors to efficiently measure road smoothness and structural integrity.
Area of Science:
- Civil Engineering
- Geotechnical Engineering
- Transportation Engineering
Background:
- Pavement section detection is crucial for assessing road conditions like smoothness, rutting, and structural depth.
- Current methods for longitudinal and cross-section inspection can be time-consuming and less efficient.
Purpose of the Study:
- To design and implement an automated, sensor-fused pavement section data acquisition method.
- To improve the accuracy and efficiency of road surface profile detection.
Main Methods:
- Utilized a vehicle-mounted system with multiple laser displacement sensors, accelerometers, and attitude sensors.
- Developed a sensor-fused data acquisition method and relevant mathematical models.
- Applied filtering techniques to acceleration sensor data and analyzed system errors.
Main Results:
- Successfully achieved automatic acquisition of pavement longitudinal and transverse sections.
- Demonstrated accurate detection of pavement profiles with improved efficiency.
- Validated the system's performance through actual measurements.
Conclusions:
- The developed vehicle-mounted high-speed pavement profile detection method is accurate and efficient.
- This approach offers a cost-effective solution for road surface detection and management.
- The sensor-fused system provides a reliable basis for measuring various pavement characteristics.
