Abstract | ||
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In this paper, four systems for disaster countermeasures were implemented. The first one was a 3D reconstruction system. It would construct a 3D model from images taken by a drone. The second one was a human detection and posture analyzing system. A drone would find a person in eyesight, take a picture and let it be posture analyzed. This would help finding people in need. The third one was a self flying system for drones. Drones would be given a mission to carry out. Real time analysis of their eyesight would allow autonomous decisions for flying routes. The fourth one was a system, where one server would control multiple drones at the same time to gather information about remote disaster areas. In an experiment, the AI drone flew autonomously and created useful data for monitoring the area. As multiple drones could be used at the same time, this system has a large potential for making disaster area monitoring easier and disaster countermeasures more efficient.1
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Year | DOI | Venue |
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2019 | 10.1145/3319619.3326885 | GECCO |
Keywords | Field | DocType |
AI drone, image processing, rescue support, system, disaster observation | Countermeasure,Monitoring system,Computer science,Real time analysis,Image processing,Real-time computing,Artificial intelligence,Drone,Disaster area,Machine learning,3D reconstruction | Conference |
ISBN | Citations | PageRank |
978-1-4503-6748-6 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Patrick Hock | 1 | 0 | 0.68 |
Koki Wakiyama | 2 | 0 | 0.34 |
Chika Oshima | 3 | 27 | 9.13 |
Koichi Nakayama | 4 | 2 | 5.16 |