Vision Based Automatic Landing of Unmanned Aerial Vehicle

2020 ◽  
pp. 102-113
Author(s):  
Amitesh Anand ◽  
Subhabrata Barman ◽  
Nemani Sathya Prakash ◽  
Naba Kumar Peyada ◽  
Jayashri Deb Sinha
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Automatic Landing ◽  
Aerial Vehicle

Automatic landing of an unmanned aerial vehicle by means of a ground-based laser beacon system

2017 ◽  
Author(s):  
A. V. Abakumov ◽  
I. K. Kuz'menko ◽  
D. Yu. Livshits ◽  
P. K. Nesterov ◽  
A. A. Seranova ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Automatic Landing ◽  
Aerial Vehicle

Automatic Landing Controller of Unmanned Aerial Vehicle

2013 ◽  
Vol 677 ◽  
pp. 442-448
Author(s):  
Chart Rithirun ◽  
Pitikhate Sooraksa
Keyword(s):  
Mathematical Model ◽  
Unmanned Aerial Vehicle ◽  
Control Strategies ◽  
Control Surface ◽  
Simulink Simulation ◽  
Automatic Landing ◽  
Control Scheme ◽  
Aerial Vehicle ◽  
Fuzzy Pd ◽  
Soft Control

This paper presents the soft control strategies for automatic landing of Unmanned Aerial Vehicle and simulation the result of controller. The soft controller parameters can be modify and show off the results response of control surface of Unmanned Aerial Vehicle which can fly to the desirable waypoints along the flight plan, one may freely select a control scheme to stabilize and perform the target tracking with robustness. The main control system of Unmanned Aerial Vehicle is developed from Fuzzy PD+I controller with auto-tuning gain parameters and the simulation is carried out by Matlab/Simulink simulation program including with Aerosim toolbox software. The model of Unmanned Aerial Vehicle for simulation in this paper is selected the model of Aerosonde UAV from Aerosonde PTY LTD., which is developed mathematical model by Unmanned Dynamics.

scholarly journals An Application of Computer Vision Systems to Solve the Problem of Unmanned Aerial Vehicle Control

2014 ◽  
Vol 15 (3) ◽  
pp. 209-214 ◽  
Author(s):  
Alexey Y. Aksenov ◽  
Sergey V. Kuleshov ◽  
Alexandra A. Zaytseva
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Unmanned Aerial Vehicle ◽  
Vehicle Control ◽  
Vision Systems ◽  
Absolute Positioning ◽  
Automatic Landing ◽  
Aerial Vehicle ◽  
Computer Vision Systems ◽  
Aerial Platform

Abstract The paper considers an approach for application of computer vision systems to solve the problem of unmanned aerial vehicle control. The processing of images obtained through onboard camera is required for absolute positioning of aerial platform (automatic landing and take-off, hovering etc.) used image processing on-board camera. The proposed method combines the advantages of existing systems and gives the ability to perform hovering over a given point, the exact take-off and landing. The limitations of implemented methods are determined and the algorithm is proposed to combine them in order to improve the efficiency.

Study on Fault Diagnosis of Planetary Gearbox in Unmanned Aerial Vehicle Using Multi sensor Data

2020 ◽  
Vol 20 (4) ◽  
pp. 332-342
Author(s):  
Hyung Jun Park ◽  
Seong Hee Cho ◽  
Kyung-Hwan Jang ◽  
Jin-Woon Seol ◽  
Byung-Gi Kwon ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Unmanned Aerial Vehicle ◽  
Sensor Data ◽  
Planetary Gearbox ◽  
Aerial Vehicle
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