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» A Discriminative Approach to Robust Visual Place Recognition
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IROS
2006
IEEE
189views Robotics» more  IROS 2006»
9 years 9 months ago
A Discriminative Approach to Robust Visual Place Recognition
— An important competence for a mobile robot system is the ability to localize and perform context interpretation. This is required to perform basic navigation and to facilitate ...
Andrzej Pronobis, Barbara Caputo, Patric Jensfelt,...
ICRA
2008
IEEE
137views Robotics» more  ICRA 2008»
9 years 10 months ago
SVM-based discriminative accumulation scheme for place recognition
— Integrating information coming from different sensors is a fundamental capability for autonomous robots. For complex tasks like topological localization, it would be desirable ...
Andrzej Pronobis, Óscar Martínez Moz...
IROS
2007
IEEE
179views Robotics» more  IROS 2007»
9 years 10 months ago
Incremental learning for place recognition in dynamic environments
Abstract— Vision-based place recognition is a desirable feature for an autonomous mobile system. In order to work in realistic scenarios, visual recognition algorithms should be ...
Jie Luo, Andrzej Pronobis, Barbara Caputo, Patric ...
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
9 years 10 months ago
Towards robust place recognition for robot localization
— Localization and context interpretation are two key competences for mobile robot systems. Visual place recognition, as opposed to purely geometrical models, holds promise of hi...
Muhammad Muneeb Ullah, Andrzej Pronobis, Barbara C...
ICML
2010
IEEE
9 years 3 months ago
FAB-MAP: Appearance-Based Place Recognition and Mapping using a Learned Visual Vocabulary Model
We present an overview of FAB-MAP, an algorithm for place recognition and mapping developed for infrastructure-free mobile robot navigation in large environments. The system allow...
Mark Joseph Cummins, Paul M. Newman
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