This paper presents the experimental results of an artificial vision system prototype for application to unmanned formation flight and aerial refueling. In the former, a camera on the wingman captures leader images, estimating the relative position; in a the latter, using probe-and-drogue refueling, the aircraft camera acquires basket images, and from that estimating the relative position. Position estimation is based on localization of infrared markers which have a known geometry distribution over the leader airframe or drogue body. Experimental results using a low cost simulated formation flight setup are shown, to validate the procedure.
Titolo: | Vision Algorithms for Formation Flight and Aerial Refuelling, with Optimal Marker Labelling |
Autori interni: | |
Anno del prodotto: | 2005 |
Handle: | http://hdl.handle.net/11568/203489 |
ISBN: | 9781563477355 |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |