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» Learning Landmarks for Robot Localization
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ICRA
2006
IEEE
139views Robotics» more  ICRA 2006»
15 years 3 months ago
Localization with Omnidirectional Images using the Radial Trifocal Tensor
— In this paper we present a technique to linearly recover 2D structure and motion in man made environments from three uncalibrated omnidirectional views. We use vertical lines f...
Carlos Sagüés, A. C. Murillo, Jos&eacu...
AAAI
1994
14 years 11 months ago
Learning to Select Useful Landmarks
To navigate effectively, an autonomous agent must be able to quickly and accurately determine its current location. Given an initial estimate of its position (perhaps based on dea...
Russell Greiner, Ramana Isukapalli
CAIP
2005
Springer
159views Image Analysis» more  CAIP 2005»
14 years 11 months ago
Global Color Image Features for Discrete Self-localization of an Indoor Vehicle
Abstract. In autonomous indoor navigation some number of localizations and orientations of the vehicle can be learned in advance. No artificial landmarks are required to exist. We...
Wlodzimierz Kasprzak, Ewa Wojciech Szynkiewicz, Mi...
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
15 years 4 months ago
Improved inverse-depth parameterization for monocular simultaneous localization and mapping
— Inverse-depth parameterization can successfully deal with the feature initialization problem in monocular simultaneous localization and mapping applications. However, it is red...
Evren Imre, Marie-Odile Berger, Nicolas Noury
ICRA
2003
IEEE
139views Robotics» more  ICRA 2003»
15 years 3 months ago
Mobile robot localization with an incomplete map in non-stationary environments
— One of the fundamental problems of the mobile robots is self-localization, i.e. to estimate the self-position by comparing sensor data and a map. In non-stationary environments...
Kanji Tanaka, Tsutomu Hasegawa, Hongbin Zha, Eiji ...