Paper Info
Title
Integrated relative navigation using a low cost vision sensor for an autonomous aerial vehicle
Abstract
Despite precise relative positioning performance of a differential GPS based navigation system, it requires the reference station in close boundaries and is likely to be affected by satellite observation environments. In this background, this paper presents an INS and vision sensor integrated system, which uses a combination of feature points and the landmark whose position is preliminarily known in order to overcome the limitation of GPS/INS integrated system. The proposed system has the advantage of implementing three-dimensional navigation using the geometry of landmark images. The simulation verifies the estimation accuracy of integrated navigation system, by which the performance enhancement in estimating relative position of the aerial vehicle is proved explicitly.
Year
DOI
Venue
2009
10.1109/ICARA.2000.4803991
ICARA
Keywords
Field
DocType
global positioning system,relative positioning,gps,ins integrated system,low cost vision sensor,aircraft navigation,ins,image sensors,vision,satellite observation environments,integrated relative navigation,integrated navigation system,autonomous aerial vehicle,vision sensor integrated system,landmark image geometry,position control,3d navigation,aircraft control,integrated navigation,inertial navigation,estimation,three dimensional,integrable system,navigation,robots,machine vision
Inertial navigation system,Computer vision,Satellite navigation,Computer science,GPS/INS,Navigation system,Global Positioning System,Artificial intelligence,Mobile robot navigation,Landmark,Differential GPS
Conference
ISBN
Citations 
PageRank 
978-1-4244-2713-0
0
0.34
References 
Authors
4
4
Name
Order
Citations
PageRank
Sukchang Yun100.34
Sebum Chun200.34
Sang-kyung Sung3125.36
Young-Jae Lee47717.96