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» Stereo vision and terrain modeling for quadruped robots
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IROS
2008
IEEE
138views Robotics» more  IROS 2008»
14 years 1 months ago
Deep belief net learning in a long-range vision system for autonomous off-road driving
Abstract— We present a learning-based approach for longrange vision that is able to accurately classify complex terrain at distances up to the horizon, thus allowing high-level s...
Raia Hadsell, Ayse Erkan, Pierre Sermanet, Marco S...
CRV
2005
IEEE
181views Robotics» more  CRV 2005»
14 years 1 months ago
An Attentional Framework for Stereo Vision
The necessity and utility of visual attention are discussed in the context of stereo vision in machines and primates. Specific problems that arise in this domain including binocul...
Neil D. B. Bruce, John K. Tsotsos
ICRA
2006
IEEE
87views Robotics» more  ICRA 2006»
14 years 1 months ago
Learning to Predict Slip for Ground Robots
— In this paper we predict the amount of slip an exploration rover would experience using stereo imagery by learning from previous examples of traversing similar terrain. To do t...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
ICRA
1998
IEEE
143views Robotics» more  ICRA 1998»
13 years 11 months ago
Maximum Likelihood Rover Localization by Matching Range Maps
This paper describes maximum likelihood estimation techniques for performing rover localization in natural terrain by matching range maps. An occupancy map of the local terrain is...
Clark F. Olson, Larry Matthies
MVA
1998
162views Computer Vision» more  MVA 1998»
13 years 7 months ago
Multipass hierarchical stereo matching for generation of digital terrain models from aerial images
Abstract. This paper presents a new multi-pass hierarchical stereo-matching approach for generation of digital terrain models (DTMs) from two overlapping aerial images. Our method ...
Yi-Ping Hung, Chu-Song Chen, Kuan-Chung Hung, Yong...