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An SVM based Algorithm for Road Disease Detection using Accelerometer

Author(s): Yanjun Ren | Guanghua Wen | Xiuyun Li

Journal: TELKOMNIKA : Indonesian Journal of Electrical Engineering
ISSN 2302-4046

Volume: 11;
Issue: 9;
Date: 2013;
Original page

Keywords: pahavement distress detection | Support vector machine | Signal processing

A signal processing algorithm based on the principle of support vector machines as well as the analysis to the characteristics of road surface diseases is proposed to detect pavement disease. Measurements from vehicle-mounted sensors (e.g., accelerometers and Global Positioning System (GPS) receivers) are properly combined to produce higher quality road roughness data for road surface condition monitoring. By using the proposed algorithm to identify the measurements, the test results show that this algorithm is suitable for pavement disease detection and is an efficient algorithm.    
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