Autonomous Precision Landing with UAV and Auto charging

Author(s):  
Aja S. Nair ◽  
P. Aruna Jeyanthy ◽  
L. Ramesh ◽  
Geevarghese Mathew Kurian ◽  
S Raja Mohamed
Keyword(s):  
2012 ◽  
Vol 625 ◽  
pp. 100-103
Author(s):  
Biao Zhao ◽  
Nai Gang Cui ◽  
Ji Feng Guo ◽  
Ping Wang

For the lunar return mission, a concern of the entry guidance requirement is the full flight envelope applicability and landing accuracy control. A concise numeric predictor-corrector (NPC) entry guidance (NPCEG) algorithm is developed for this requirement. It plans a real-time trajectory on-line by modulating the linear parameterized bank profile. To meet the path constraint, we propose an integrated guidance strategy which combines NPC method with an analytical constant drag acceleration method. Monte Carlo analysis shows that the algorithm is sufficiently robust to allow precision landing with a delivery error of less than 2.0 km for the entire between 2,500 km and 10,000 km range.


Author(s):  
Timothy P. Setterfield ◽  
Robert A. Hewitt ◽  
Po-Ting Chen ◽  
Antonio Teran Espinoza ◽  
Nikolas Trawny ◽  
...  
Keyword(s):  

Author(s):  
Robert Frampton ◽  
James Ball ◽  
Karl Oittinen ◽  
Sunil Tandon ◽  
Daniel Schwab ◽  
...  

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1532 ◽  
Author(s):  
Jamie Wubben ◽  
Francisco Fabra ◽  
Carlos T. Calafate ◽  
Tomasz Krzeszowski ◽  
Johann M. Marquez-Barja ◽  
...  

Over the last few years, several researchers have been developing protocols and applications in order to autonomously land unmanned aerial vehicles (UAVs). However, most of the proposed protocols rely on expensive equipment or do not satisfy the high precision needs of some UAV applications such as package retrieval and delivery or the compact landing of UAV swarms. Therefore, in this work, a solution for high precision landing based on the use of ArUco markers is presented. In the proposed solution, a UAV equipped with a low-cost camera is able to detect ArUco markers sized 56 × 56 cm from an altitude of up to 30 m. Once the marker is detected, the UAV changes its flight behavior in order to land on the exact position where the marker is located. The proposal was evaluated and validated using both the ArduSim simulation platform and real UAV flights. The results show an average offset of only 11 cm from the target position, which vastly improves the landing accuracy compared to the traditional GPS-based landing, which typically deviates from the intended target by 1 to 3 m.


2018 ◽  
Vol 19 (4) ◽  
pp. 994-1005 ◽  
Author(s):  
Youngshin Kang ◽  
Bum-Jin Park ◽  
Am Cho ◽  
Chang-Sun Yoo ◽  
Yushin Kim ◽  
...  

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