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Design of pothole detection system based on digital image correlation using Kinect sensor
Author(s): W. Anggoro; A. Nasution; I. R. Rosohadi
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Paper Abstract

Pothole detection system based on digital image correlation had been made using Kinect sensor that could detect and quantified pothole dimensions such as depth, area, volume and position. Pothole detection was start with normalization process on depth image from the pothole that was used as a quantifying object. Then thresholding was done on the normalized image in order to separate between pothole and its background. Dimension quantification was done by making the work model from the sensor characterization result. Next, validation system process was done by testing the artificial pothole with the depth variation of 2 cm, 4 cm, 6 cm, 8 cm, 10 cm and 12 cm, every depth variation had each given diameter of 5 cm, 10 cm, 15 cm, 20 cm, and 25 cm. Based on the results of the validation, the system has an error value of less than 7% on the hole diameter range of 5-25cm with a depth range of 6-12 cm. The depth resolution of the system is 0.43 cm while the system spatial resolution depends on the distance between sensor and the quantifying object, for sensor system with distance span of 120 cm would have spatial resolution on horizontal and vertical axis of 0.21 cm and 0.22 cm respectively.

Paper Details

Date Published: 11 April 2019
PDF: 10 pages
Proc. SPIE 11044, Third International Seminar on Photonics, Optics, and Its Applications (ISPhOA 2018), 1104409 (11 April 2019); doi: 10.1117/12.2504739
Show Author Affiliations
W. Anggoro, Institut Teknologi Sepuluh Nopember (Indonesia)
A. Nasution, Institut Teknologi Sepuluh Nopember (Indonesia)
I. R. Rosohadi, Institut Teknologi Sepuluh Nopember (Indonesia)

Published in SPIE Proceedings Vol. 11044:
Third International Seminar on Photonics, Optics, and Its Applications (ISPhOA 2018)
Aulia M. T. Nasution; Agus Muhamad Hatta, Editor(s)

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