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Appl. Sci. 2018, 8(1), 70;

Placing Visual Sensors Using Heuristic Algorithms for Bridge Surveillance

School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA
Department of Industrial & Management Engineering/Intelligence & Manufacturing Research Center, Kyonggi University, Suwon, Gyeonggi 16227, Korea
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)
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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

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

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