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» Learning from examples in unstructured, outdoor environments
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IJCAI
2007
13 years 10 months ago
Depth Estimation Using Monocular and Stereo Cues
Depth estimation in computer vision and robotics is most commonly done via stereo vision (stereopsis), in which images from two cameras are used to triangulate and estimate distan...
Ashutosh Saxena, Jamie Schulte, Andrew Y. Ng
SIGSOFT
2009
ACM
14 years 9 months ago
Learning from examples to improve code completion systems
The suggestions made by current IDE's code completion features are based exclusively on static type system of the programming language. As a result, often proposals are made ...
Marcel Bruch, Martin Monperrus, Mira Mezini
AI
2007
Springer
13 years 8 months ago
Learning action models from plan examples using weighted MAX-SAT
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
Qiang Yang, Kangheng Wu, Yunfei Jiang
ICRA
1994
IEEE
90views Robotics» more  ICRA 1994»
14 years 18 days ago
Pursuing Projections: Keeping a Robot on Path
For an autonomous robot navigating in an unstructured outdoor environment, staying close to a path is crucial to successfully reaching its goal. Although the degree of accuracy wi...
Karen T. Sutherland, William B. Thompson
ICRA
2007
IEEE
158views Robotics» more  ICRA 2007»
14 years 2 months ago
Mini-SLAM: Minimalistic Visual SLAM in Large-Scale Environments Based on a New Interpretation of Image Similarity
— This paper presents a vision-based approach to SLAM in large-scale environments with minimal sensing and computational requirements. The approach is based on a graphical repres...
Henrik Andreasson, Tom Duckett, Achim J. Lilientha...