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» Bayesian Landmark Learning for Mobile Robot Localization
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JIRS
2006
128views more  JIRS 2006»
14 years 9 months ago
A Modified Particle Filter for Simultaneous Localization and Mapping
The implementation of a particle filter (PF) for vision-based bearing-only simultaneous localization and mapping (SLAM) of a mobile robot in an unstructured indoor environment is p...
N. M. Kwok, A. B. Rad
ICRA
2003
IEEE
139views Robotics» more  ICRA 2003»
15 years 2 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 ...
WAPCV
2004
Springer
15 years 2 months 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,...
ICVS
1999
Springer
15 years 1 months ago
3-D Modelling and Robot Localization from Visual and Range Data in Natural Scenes
Abstract. This paper concerns the exploration of a natural environment by a mobile robot equipped with both a video camera and a range sensor (stereo or laser range finder); we fo...
Carlos Parra, Rafael Murrieta-Cid, Michel Devy, Ma...
AAAI
1990
14 years 10 months ago
LOGnets: A Hybrid Graph Spatial Representation for Robot Navigation
In this article we present a novel, hybrid graph spatial representation for robot navigation. This representation enables our mobile robot to build a model of its surroundings whi...
Peter K. Malkin, Sanjaya Addanki