Gamma radiation distribution map creation using a small-sized drone

被引:0
|
作者
Molnar, Andras [1 ]
Stojcsics, Daniel [1 ]
Domozi, Zsolt [1 ]
Lovas, Istvan [1 ]
机构
[1] Obuda, John von Neumann Fac Informat, Budapest, Hungary
关键词
Gamma radiation; distribution map; radiation source detection; radiation detection using a drone; large scale point cloud; MATLAB;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
During their flight, small-sized drones use satelite navigation (the most widespread is GPS). This means that frequent coordinate information can be recorded in the entire duration of the flight with varying frequency according to the type. Several aerial photography applications utilize these data. If the drone is equipped with a sensitive gamma detector the flight coordinates can be assigned to gamma measurement data. These groups of data provide an opportunity during the gamma detector-based scan of an area to determine its radiation distribution. The method can provide help to explore and localize patterns, stored or transported illegally, which exhaust gamma radiation. This paper introduces a system based on practical experiments which makes the localization of small-dose patterns possible as well as the creation of a qualitative gamma radiation map in a given area. The method can be primarily used in terrain circumstances, first and foremost to detect low-activity gamma radiators.
引用
收藏
页码:161 / 166
页数:6
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