Edge-based features from omnidirectional images for robot localization

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 2, Issue , 2001, Pages 1579-1584

  Vlassis, Nikos ^a   Motomura, Yoichi ^b   Hara, Isao ^b   Asoh, Hideki ^b   Matsui, Toshihiro ^b  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b ELECTROTECHNICAL LABORATORY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; EDGE DETECTION; FAST FOURIER TRANSFORMS; IMAGE ANALYSIS; MATRIX ALGEBRA; MOBILE ROBOTS; PRINCIPAL COMPONENT ANALYSIS; ROBOT APPLICATIONS; TRACKING (POSITION);

OMNIDIRECTIONAL IMAGES; ROBOT LOCALIZATIONS;

FEATURE EXTRACTION;

EID: 0034871489     PISSN: 10504729     EISSN: None     Source Type: Journal    
DOI: 10.1109/ROBOT.2001.932836     Document Type: Article

References (15)

1. A view-based neurocomputaional system for relational map-making and navigation in visual environments
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3. Visual navigation using omnidirectional view sequence
4. On the estimation of a probability density function and mode
5. Kernel density estimation using the fast Fourier transform
6. Learning visual landmarks for pose estimation
7. Appearance-based place recognition for topological localization
8. Robot environment modeling via principal component regression
9. Supervised linear feature extraction for mobile robot localization
10. Fast computation of multivariate kernel estimators
11. Omni-directional vision for robot navigation