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» Techniques for Autonomous, Off-Road Navigation
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IDA
2003
Springer
14 years 23 days ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt
ISRR
2005
Springer
201views Robotics» more  ISRR 2005»
14 years 1 months ago
Advances in High Resolution Imaging from Underwater Vehicles
Large area mapping at high resolution underwater continues to be constrained by the mismatch between available navigation as compared to sensor accuracy. In this paper we present ...
Hanumant Singh, Christopher N. Roman, Oscar Pizarr...
CRV
2009
IEEE
206views Robotics» more  CRV 2009»
14 years 2 months ago
Unsupervised Learning of Terrain Appearance for Automated Coral Reef Exploration
We describe a navigation and coverage system based on unsupervised learning driven by visual input. Our objective is to allow a robot to remain continuously moving above a terrain...
Philippe Giguère, Gregory Dudek, Chris Prah...
WACV
2007
IEEE
14 years 1 months ago
A Two-stage Algorithm for Shoreline Detection
Shoreline detection plays an important role in vision based navigation for autonomous surface vehicles (ASVs). It is a challenging task because of the diversity in near-bank scena...
Xiaojin Gong, Anbumani Subramanian, Christopher L....
SOFSEM
2000
Springer
13 years 11 months ago
Hierarchies of Sensing and Control in Visually Guided Agents
The capability of perceiving the environment is crucial for advancing the level of autonomy and sophistication of (semi)autonomous robotic systems and determines the complexity of ...
Jana Kosecka