Placing Visual Sensors Using Heuristic Algorithms for Bridge Surveillance
AbstractThis 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
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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.
Jun S, Chang T-W, Yoon H-J. Placing Visual Sensors Using Heuristic Algorithms for Bridge Surveillance. Applied Sciences. 2018; 8(1):70.Chicago/Turabian Style
Jun, Sungbum; Chang, Tai-Woo; Yoon, Hyuk-Jin. 2018. "Placing Visual Sensors Using Heuristic Algorithms for Bridge Surveillance." Appl. Sci. 8, no. 1: 70.
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