DocumentCode :
669428
Title :
Design of vision/INS integrated navigation system in poor vision navigation environments
Author :
Youngsun Kim ; Dong-Hwan Hwang
Author_Institution :
Dept. of Electron. Eng., Chungnam Nat. Univ., Daejeon, South Korea
fYear :
2013
fDate :
20-23 Oct. 2013
Firstpage :
531
Lastpage :
535
Abstract :
This paper proposes a design method for an inertial and landmark-based vision integrated navigation system in poor vision navigation environments, which have fewer visible landmarks in an area. An indirect Kalman filter with feedback structure is used in the presented navigation system. The system is designed to use focal plane measurements of landmarks instead of a vision navigation solution for effective measurement usage in poor vision environments. The proposed design is confirmed through the computer simulations and its performance is evaluated comparing the integration system which uses a vision navigation solution.
Keywords :
Kalman filters; computer vision; image sensors; inertial navigation; INS integrated navigation system; feedback structure; focal plane measurements; indirect Kalman filter; inertial and landmark-based vision integrated navigation system; poor vision navigation environments; Equations; Global Positioning System; Gold; Jacobian matrices; Machine vision; Q measurement; Focal plane; Inertial navigation system; Integration model; Landmark; Landmark-based vision navigation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2013 13th International Conference on
Conference_Location :
Gwangju
ISSN :
2093-7121
Print_ISBN :
978-89-93215-05-2
Type :
conf
DOI :
10.1109/ICCAS.2013.6703994
Filename :
6703994
Link To Document :
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