DocumentCode
3563870
Title
Autonomous landing system for aerial mobile robot cooperation
Author
Lee, Min-Fan Ricky ; Shun-Feng Su ; Yeah, Jie-Wei Eric ; Husan-Ming Huang ; Chen, Jonathan
Author_Institution
Grad. Inst. of Autom. & Control, Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fYear
2014
Firstpage
1306
Lastpage
1311
Abstract
In vision-based autonomous landing, the accuracy of GPS signal and the efficiency of target tracking and detecting will affect the performance in autonomous landing system. This paper presents a method of cooperation among two aerial mobile robots at high altitude and low altitude for autonomous navigation and landing. Fully utilizing the extensive vision and high flexibility on the high-altitude aerial mobile robot to control the low-altitude aerial mobile robot to finish tracking and landing procedures. The flight controller achieves to track target and attitude control in real time. The flight controller using high level control which are fuzzy logic and neural network to give to low level control. The aerial mobile robots use the fuzzy logic control and neural network for positioning and maneuvering, and image-based visual servoing for tracking the low-altitude aerial mobile robot and landing target. By applying these methods, we have achieved a scalable and robust procedures for autonomous landing.
Keywords
Global Positioning System; aerospace navigation; aircraft landing guidance; attitude control; autonomous aerial vehicles; fuzzy control; level control; mobile robots; neurocontrollers; object detection; position control; robot vision; target tracking; visual servoing; GPS signal; aerial mobile robot cooperation; attitude control; autonomous landing system; autonomous navigation; flight controller; fuzzy logic control; high level control; high-altitude aerial mobile robot; image-based visual servoing; low level control; low-altitude aerial mobile robot; maneuvering; neural network; positioning; target detection; target tracking; vision-based autonomous landing; Cameras; Fuzzy logic; Image color analysis; Image edge detection; Mobile robots; Navigation; Target tracking; Aerial Mobile robot; Autonomous landing; Fuzzy logic; Neural Network; target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
Type
conf
DOI
10.1109/SCIS-ISIS.2014.7044826
Filename
7044826
Link To Document