Localization Algorithm of Sparse Targets Based on LU-decomposition

2014 ◽  
Vol 35 (9) ◽  
pp. 2234-2239 ◽  
Author(s):  
Chun-hui Zhao ◽  
Yun-long Xu ◽  
Hui Huang

2015 ◽  
Vol 10 (10) ◽  
pp. 1062
Author(s):  
A. Mesmoudi ◽  
Mohammed Feham ◽  
Nabila Labraoui ◽  
Chakib Bekara


Author(s):  
Yang Li ◽  
Shu Xiang ◽  
Guang Yang




2020 ◽  
Vol 71 (7) ◽  
pp. 828-839
Author(s):  
Thinh Hoang Dinh ◽  
Hieu Le Thi Hong

Autonomous landing of rotary wing type unmanned aerial vehicles is a challenging problem and key to autonomous aerial fleet operation. We propose a method for localizing the UAV around the helipad, that is to estimate the relative position of the helipad with respect to the UAV. This data is highly desirable to design controllers that have robust and consistent control characteristics and can find applications in search – rescue operations. AI-based neural network is set up for helipad detection, followed by optimization by the localization algorithm. The performance of this approach is compared against fiducial marker approach, demonstrating good consensus between two estimations



2014 ◽  
Vol 36 (12) ◽  
pp. 2406-2419
Author(s):  
Wei LI ◽  
Zheng ZHENG ◽  
Peng HAO ◽  
Yi-Chao GAO ◽  
Pei-Feng RAO ◽  
...  


2008 ◽  
Vol 28 (3) ◽  
pp. 674-676 ◽  
Author(s):  
Liu-liu ZHU


2009 ◽  
Vol 29 (4) ◽  
pp. 1064-1067 ◽  
Author(s):  
Ming LIU ◽  
Ting-ing WANG ◽  
Xiao-an HUANG ◽  
Rui LIU


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