Vision-Based Target Three-Dimensional Geolocation Using Unmanned Aerial Vehicles
Publication in refereed journal

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摘要This 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.
出版社接受日期05.02.2018
著者L. Zhang, F. Deng, J. Chen, Y. Bi, S. K. Phang, X. Chen, B. M. Chen
期刊名稱IEEE Transactions on Industrial Electronics
出版年份2018
月份10
卷號65
期次10
出版社IEEE
出版地USA
頁次8052 - 8061
國際標準期刊號0278-0046
語言美式英語
關鍵詞Altitude estimation, computer vision, target 3-D geolocation, unmanned aerial vehicle (UAV)

上次更新時間 2021-04-05 於 00:20