Landmark navigation and autonomous landing approach with obstacle detection for aircraft

Author(s):  
Simon Fuerst ◽  
Stefan Werner ◽  
Dirk Dickmanns ◽  
Ernst D. Dickmanns
2016 ◽  
Vol 136 (4) ◽  
pp. 588-589
Author(s):  
Haruya Kyutoku ◽  
Daisuke Deguchi ◽  
Tomokazu Takahashi ◽  
Yoshito Mekada ◽  
Ichiro Ide ◽  
...  

2019 ◽  
Vol 2019 (15) ◽  
pp. 32-1-32-10
Author(s):  
Christian Fuchs ◽  
Dietrich Paulus
Keyword(s):  

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


2010 ◽  
Vol 36 (5) ◽  
pp. 667-673 ◽  
Author(s):  
Yang CONG ◽  
Jun-Jian PENG ◽  
Jing SUN ◽  
Lin-Lin ZHU ◽  
Yan-Dong TANG
Keyword(s):  

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