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» Sparse appearance based modeling for robot localization
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RAS
2000
170views more  RAS 2000»
13 years 7 months ago
Visual servoing and appearance for navigation
We address the problem of visual-based navigation of a mobile robot in indoors environments. The robot control system is based on a single camera to provide the required visual fe...
Raquel Frizera Vassallo, Hans J. Schneebeli, Jos&e...
ISRR
2005
Springer
118views Robotics» more  ISRR 2005»
14 years 1 months ago
A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters
An open problem in Simultaneous Localization and Mapping (SLAM) is the development of algorithms which scale with the size of the environment. A few promising methods exploit the ...
Matthew Walter, Ryan Eustice, John J. Leonard
CVPR
2009
IEEE
15 years 2 months ago
Learning color and locality cues for moving object detection and segmentation
This paper presents an algorithm for automatically detecting and segmenting a moving object from a monocular video. Detecting and segmenting a moving object from a video with limit...
Feng Liu (University of Wisconsin-Madison), Michae...
ROBOCUP
2000
Springer
146views Robotics» more  ROBOCUP 2000»
13 years 11 months ago
Observation Strategy for Decision Making Based on Information Criterion
Self localization seems necessary for mobile robot navigation. The conventional method such as geometric reconstruction from landmark observations is generally time-consuming and ...
Noriaki Mitsunaga, Minoru Asada
ECCV
2010
Springer
13 years 12 months ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...