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