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Detection of Road-Surface Anomalies Using a Smartphone Camera and Accelerometer.
Taehee Lee1, Chanjun Chun1, Seung-Ki Ryu1
1Future Infrastructure Research Center, Korea Institute of Civil Engineering and Building Technology (KICT), Goyang 10223, Korea.
Sensors (Basel, Switzerland)
|January 20, 2021
Summary
A new smartphone system combines images and vehicle acceleration to detect road surface issues. This dual-acquisition method accurately infers anomaly severity, improving road safety monitoring.
Area of Science:
- Civil Engineering
- Transportation Engineering
- Road Safety
Background:
- Effective road surface monitoring is crucial for motorist safety.
- Existing systems have limitations, necessitating innovative solutions.
- Smartphone technology offers a potential platform for low-cost road monitoring.
Purpose of the Study:
- To develop and evaluate a smartphone-based dual-acquisition system for road surface anomaly detection.
- To explore the complementary benefits of image and acceleration data for road monitoring.
- To assess the system's accuracy in inferring the severity of road surface anomalies.
Main Methods:
- Developed a smartphone system integrating road surface image acquisition and vehicle acceleration measurement.
- Conducted road tests to collect 1896 images and corresponding three-axis acceleration data.
- Classified images by anomaly presence and type; analyzed acceleration data histograms.
Main Results:
- Image-based monitoring alone showed limited performance in anomaly detection.
- Acceleration data analysis revealed anomaly effects when considering wheel contact and excluding minor longitudinal anomalies.
- The combined system accurately inferred road surface anomaly severity using specific acceleration variation ranges.
Conclusions:
- A smartphone-based dual-acquisition system offers a promising approach for road surface monitoring.
- Integrating image and acceleration data enhances the accuracy of anomaly severity assessment.
- This method can contribute to improved road maintenance and motorist safety.
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