Landing an Unmanned Aerial Vehicle (UAV) is a non-trivial problem. Removing the ability to cooperate with the landing site further increases the complexity. This thesis develops a multi-stage process that allows a UAV to locate the safest landing site, and then land without a georeference. Machine vision is the vehicle sensor used to locate potential landing hazards and generate an estimated UAV position. A description of the algorithms, along with validation results, are presented. The thesis shows that software-simulated landing performs adequately, and that future hardware integration looks promising.
College and Department
Ira A. Fulton College of Engineering and Technology; Electrical and Computer Engineering
BYU ScholarsArchive Citation
Hintze, Joshua Martin, "Autonomous Landing of a Rotary Unmanned Aerial Vehicle in a Non-cooperative Environment using Machine Vision" (2004). All Theses and Dissertations. 120.
UAV, unmanned, aerial, vehicle, rotorcraft, rotary, landing, non-cooperative, autonomous