DocumentCode :
1403215
Title :
Maintaining representations of the environment of a mobile robot
Author :
Ayache, Nicholas ; Faugeras, Olivier D.
Author_Institution :
INRIA, Le Chesney, France
Volume :
5
Issue :
6
fYear :
1989
fDate :
12/1/1989 12:00:00 AM
Firstpage :
804
Lastpage :
819
Abstract :
A description is given of current ideas related to the problem of building and updating three-dimensional representations of the environment of a mobile robot that uses passive vision as its main sensory modality. The authors attempt to represent both geometry and uncertainty. The authors motivate their approach by defining the problems they are trying to solve and then give some simple didactic examples. They then present a tool they think is extremely well adapted to solving most of these problems: the extended Kalman filter (EKF). The authors discuss the notions of minimal geometric representations for three-dimensional lines, planes, and rigid motions. They show how the EKF and the representations can be combined to provide solutions for some of the problems. A number of experimental results on real data are given
Keywords :
Kalman filters; computer vision; mobile robots; environmental representation; extended Kalman filter; geometry; mobile robot; passive vision; sensory modality; three-dimensional representations; uncertainty; Computational geometry; Computer vision; Information geometry; Mobile robots; Motion analysis; Noise reduction; Position measurement; Sonar; Stereo vision; Uncertainty;
fLanguage :
English
Journal_Title :
Robotics and Automation, IEEE Transactions on
Publisher :
ieee
ISSN :
1042-296X
Type :
jour
DOI :
10.1109/70.88101
Filename :
88101
Link To Document :
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