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» Feature Based Condensation for Mobile Robot Localization
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RAS
1998
150views more  RAS 1998»
14 years 11 months ago
Active Markov localization for mobile robots
Localization is the problem of determining the position of a mobile robot from sensor data. Most existing localization approaches are passive, i.e., they do not exploit the opport...
Dieter Fox, Wolfram Burgard, Sebastian Thrun
127
Voted
ICRA
2010
IEEE
220views Robotics» more  ICRA 2010»
14 years 9 months ago
General object tracking with a component-based target descriptor
In this paper, we present a component-based visual object tracker for mobile platforms. The core of the technique is a component-based descriptor that captures the structure and ap...
Simone Frintrop
96
Voted
IROS
2009
IEEE
196views Robotics» more  IROS 2009»
15 years 6 months ago
Scene recognition with omnidirectional vision for topological map using lightweight adaptive descriptors
Abstract— Mobile robots rely on their ability of scene recognition to build a topological map of the environment and perform location-related tasks. In this paper, we describe a ...
Ming Liu, Davide Scaramuzza, Cédric Pradali...
110
Voted
RSS
2007
198views Robotics» more  RSS 2007»
15 years 1 months ago
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching
— Matching laser range scans observed at different points in time is a crucial component of many robotics tasks, including mobile robot localization and mapping. While existing t...
Fabio T. Ramos, Dieter Fox, Hugh F. Durrant-Whyte
ATAL
2010
Springer
15 years 22 days ago
Image based exploration for indoor environments using local features
d Abstract) Aravindhan K Krishnan Madhava Krishna Supreeth Achar This paper presents an approach to explore an unknown indoor environment using vision as the sensing modality, t...
Aravindhan K. Krishnan, K. Madhava Krishna, Supree...