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» Cognitive maps for mobile robots - an object based approach
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AAAI
2006
13 years 9 months ago
A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking
The ability to accurately detect the location of a mobile node in a sensor network is important for many artificial intelligence (AI) tasks that range from robotics to context-awa...
Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, Dit-Y...
IROS
2007
IEEE
126views Robotics» more  IROS 2007»
14 years 1 months ago
A graph theoretic approach to optimal target tracking for mobile robot teams
Abstract— In this paper, we present an optimization framework for target tracking with mobile robot teams. The target tracking problem is modeled as a generic semidefinite progr...
Jason C. Derenick, John R. Spletzer, M. Ani Hsieh
WAPCV
2004
Springer
14 years 28 days ago
A Visual Attention-Based Approach for Automatic Landmark Selection and Recognition
Visual attention refers to the ability of a vision system to rapidly detect visually salient locations in a given scene. On the other hand, the selection of robust visual landmarks...
Nabil Ouerhani, Heinz Hügli, Gabriel Gruener,...
ICRA
1999
IEEE
119views Robotics» more  ICRA 1999»
13 years 12 months ago
Mobile Robot Localization Based on an Omnidirectional Stereoscopic Vision Perception System
This paper presents a system of absolute localization based on the stereoscopic omnidirectional vision. To do it we use an original perception system which allows our omnidirectio...
Cyril Drocourt, Laurent Delahoche, Claude Pé...
ICPR
2002
IEEE
14 years 8 months ago
Scene Classification from Dense Disparity Maps in Indoor Environments
We present our approach for scene classification in dense disparity maps from a binocular stereo system. The classification result is used for tracking and navigation purposes. Th...
Darius Burschka, Gregory D. Hager