FLIER: A Novel Sensor Fusion Algorithm

Author

Chauhan, Sumit ; Patil, Chetan ; Halder, Abhishek ; Sinha, Manoranjan

Author_Institution

Dept. of Electron. & Electr. Commun., Indian Inst. of Technol. Kharagpur, Kharagpur

fYear

2008

fDate

8-10 Dec. 2008

Firstpage

1

Lastpage

6

Abstract

This paper proposes a novel sensor fusion algorithm to obtain instantaneous position and attitude estimates, which can either be used for aerial navigation or can be utilized to construct state feedbacks for camera stabilization. A divergence control strategy has also been formulated and the algorithm was embedded in real-time hardware. A comparative study between the proposed and conventional algorithm illustrates its efficacy.

Keywords

Kalman filters; aircraft navigation; cameras; fuzzy logic; remotely operated vehicles; sensor fusion; state feedback; FLIER; UAV; aerial navigation; camera stabilization; divergence control strategy; flight data; fuzzy logic induced extended Kalman filter; real-time hardware; sensor fusion algorithm; state feedback; Cameras; Computational modeling; Hardware; Intelligent sensors; Intelligent systems; Power engineering and energy; Sensor fusion; State estimation; State feedback; Unmanned aerial vehicles; Kalman filter; Sensor fusion; hardware-in-loop-simulation (HILS); unmanned air vehicles (UAVs);

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial and Information Systems, 2008. ICIIS 2008. IEEE Region 10 and the Third international Conference on

Conference_Location

Kharagpur

Print_ISBN

978-1-4244-2806-9

Electronic_ISBN

978-1-4244-2806-9

Type

conf

DOI

10.1109/ICIINFS.2008.4798459

Filename

4798459