Next Article in Journal
Phase Coherence Index, HHT and Wavelet Analysis to Extract Features from Active and Passive Distribution Networks
Next Article in Special Issue
Robust Sampling Frequency Offset Estimation for OFDM over Frequency Selective Fading Channels
Previous Article in Journal
Estimation of Mental Distress from Photoplethysmography
Previous Article in Special Issue
Linear Approximation Signal Detection Scheme in MIMO-OFDM Systems
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Appl. Sci. 2018, 8(1), 70; https://doi.org/10.3390/app8010070

Placing Visual Sensors Using Heuristic Algorithms for Bridge Surveillance

1
School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA
2
Department of Industrial & Management Engineering/Intelligence & Manufacturing Research Center, Kyonggi University, Suwon, Gyeonggi 16227, Korea
3
Korea Railroad Research Institute, Uiwang, Gyeonggi 16105, Korea
*
Author to whom correspondence should be addressed.
Received: 1 November 2017 / Revised: 20 December 2017 / Accepted: 3 January 2018 / Published: 6 January 2018
(This article belongs to the Special Issue Advanced Internet of Things for Smart Infrastructure System)
View Full-Text   |   Download PDF [3267 KB, uploaded 6 January 2018]   |  

Abstract

This study addresses the camera placement problem for bridge surveillance and proposes solutions that minimize the cost while satisfying the minimum coverage level. We discuss the field of view of cameras in the three-dimensional space. We also consider occlusions, the characteristics of surveillance targets, and different pan-tilt-zoom cameras in the visibility test. To solve the camera placement problem while minimizing the total cost, we propose a genetic algorithm (GA) and a uniqueness score with a local search algorithm (ULA). Problem sets for a large-scale dimension scenario are generated based on the data of actual bridges in the Republic of Korea. For three simulation sets and a case study of Samoonjin Bridge, the proposed ULA yields better results than GA. View Full-Text
Keywords: camera placement; surveillance; pan-tilt-zoom cameras; local search; genetic algorithm camera placement; surveillance; pan-tilt-zoom cameras; local search; genetic algorithm
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Jun, S.; Chang, T.-W.; Yoon, H.-J. Placing Visual Sensors Using Heuristic Algorithms for Bridge Surveillance. Appl. Sci. 2018, 8, 70.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Appl. Sci. EISSN 2076-3417 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top