Vision-Based Target Three-Dimensional Geolocation Using Unmanned Aerial Vehicles
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AbstractThis paper develops a method of calculating the three-dimensional (3-D) coordinates of a target with image information taken from an unmanned aerial vehicle (UAV). Unlike the usual approaches to target geolocation that rely heavily on georeferenced terrain database or accurate attitude sensors, the contribution of the proposed method is to offset the constraints and also perform 3-D geolocation of the target based on the relative altitude between the aircraft and the target calculated using the stereo vision technique. Considering the poor performance of the yaw-angle measurement provided by the low-quality attitude sensors in the UAV, a novel vision-based 3-D geolocation method is designed. The proposed method is proven to be valid and practical via simulation results and actual flight experiments.
Acceptance Date05/02/2018
All Author(s) ListL. Zhang, F. Deng, J. Chen, Y. Bi, S. K. Phang, X. Chen, B. M. Chen
Journal nameIEEE Transactions on Industrial Electronics
Year2018
Month10
Volume Number65
Issue Number10
PublisherIEEE
Place of PublicationUSA
Pages8052 - 8061
ISSN0278-0046
LanguagesEnglish-United States
KeywordsAltitude estimation, computer vision, target 3-D geolocation, unmanned aerial vehicle (UAV)

Last updated on 2021-04-05 at 00:20