Open AccessResearch on UAV Visual Recognition and Positioning Method BasedonGIS
Author(s) -
Wanhua Li,
Ling Chen
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1992/2/022160
Subject(s) - computer vision , artificial intelligence , computer science , global positioning system , tracking (education) , process (computing) , adaptability , rss , positioning system , identification (biology) , positioning technology , real time computing , engineering , psychology , telecommunications , pedagogy , ecology , botany , structural engineering , node (physics) , biology , operating system
Regarding the positioning and tracking of the target object by the UAV, the GPS signal in the actual flight is unstable and inaccurate. From this, the GIS visual identification and positioning method is found; the binocular stereo vision technology is proposed This optical physics theory, as well as binocular cameras and specific calculation methods for positioning; found a way to accurately locate and track UAVs through GIS; accurate enough to calculate the UAV’s positioning operation process and calculations through the RSS positioning and tracking method Method: The wording simulation experiment proves that this visual recognition positioning method has the advantages of higher accuracy and strong adaptability.