Integrated Processing of Image and GPR Data for Automated Pothole Detection-Reference-Cited by-同舟云学术

Integrated Processing of Image and GPR Data for Automated Pothole Detection

Published:2016-11 Issue:6 Volume:30 Page:04016015
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Li Shuai¹,Yuan Chenxi¹,Liu Donghai²,Cai Hubo³

Affiliation:

1. Ph.D. Student, Division of Construction Engineering and Management, Lyles School of Civil Engineering, Purdue Univ., 550 Stadium Mall Dr., West Lafayette, IN 47907.

2. Professor, State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin Univ., 92 Weijin Rd., Nankai District, Tianjin 300072, China.

3. Associate Professor, Division of Construction Engineering and Management, Lyles School of Civil Engineering, Purdue Univ., 550 Stadium Mall Dr., West Lafayette, IN 47907 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000582

Reference42 articles.

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3. Benedetto A. Tosti F. Pajewski L. D’Amico F. and Kusayanagi W. (2014). “FDTD simulation of the GPR signal for effective inspection of pavement damages.” 2014 15th Int. Conf. on Ground Penetrating Radar (GPR) IEEE Piscataway NJ 513–518.

4. Birken R. Schirner G. and Wang M. (2012). “VOTERS: Design of a mobile multi-modal multi-sensor system.” Proc. 6th Int. Workshop on Knowledge Discovery from Sensor Data ACM New York 8–15.

5. Buza E. M. I. R. Omanovic S. A. M. I. R. and Huseinovic A. L. V. I. N. (2013). “Pothole detection with image processing and spectral clustering.” Proc. 2nd Int. Conf. on Information Technology and Computer Networks (ITCN’13) WSEAS Sofia Bulgaria 48–53.

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