An SVM based Algorithm for Road Disease Detection using Accelerometer

Yanjun Ren (ChongQing Technology and Business Institute)
Guanghua Wen (Changjiang Chongqing waterway bureau)
Xiuyun Li (Chongqing Vocational Institute of Engineering)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 11, No 9: September 2013

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. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3264