Multi-eye input experiments for UAV image navigation and control

Wolfgang Baer

doi:10.1117/12.850555

27 April 2010 Multi-eye input experiments for UAV image navigation and control

Wolfgang Baer

Proceedings Volume 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX; 769719 (2010) https://doi.org/10.1117/12.850555
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Real time Unmanned Arial Vehicle (UAV) image registration is achieved by stimulating one eye with a live video image from a flying UAV while stimulating the other eye with calculated images. The calculated image is initialized by telemetry signals from the UAV and corrected using the Perspective View Nascent Technology (PVNT) software package model-image feedback algorithm. Live and registered calculated images are superimposed allowing command functions including target geo-location, UAV sensor slewing, tracking, and way point flight control. When the same equipment is used with the naked eye the forward observer function can be implemented to produce accurate target coordinates. The paper will then discuss UAV mission control and forward observer target tracking experiments conducted at Camp Roberts, California.

Citation Download Citation

Wolfgang Baer "Multi-eye input experiments for UAV image navigation and control", Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 769719 (27 April 2010); https://doi.org/10.1117/12.850555

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