Journal of Dalian Maritime University >
2019 , Vol. 45 >Issue 3: 121 - 128
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2019.03.017
Discovery probability modeling of inland waterfall personnel based on airborne vision
Received date: 2019-03-13
Revised date: 2019-04-11
Online published: 2019-04-12
In order to improve the searching and discovering probability of inland river falling personnel by unmanned aerial vehicle（UAV）, a maritime UAV system for inland water searching and rescuing was built. The relationship between UAV flight altitude and camera view field and camera visual imaging was analyzed, and by combining with the theory of visual attention, the regularity of searching people falling into water on the map display screen of ground stations for searchers was studied，and the maximum speed model of UAV and the discovery probability model of dropping personnel were established. The experimental results on the Yangtze River show that the maximum speed model of UAV and the probability model of dropping personnel are reliable for improving the efficiency of inland waterfall personnel.
CHEN Yu，XIAO Chang-shi，ZHOU Chun-hui,WEN Yuan-qiao，CHEN Qian-qian， . Discovery probability modeling of inland waterfall personnel based on airborne vision[J]. Journal of Dalian Maritime University, 2019 , 45(3) : 121 -128 . DOI: 10.16411/j.cnki.issn1006-7736.2019.03.017
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