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» Bayesian Landmark Learning for Mobile Robot Localization
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JIRS
2006
128views more  JIRS 2006»
15 years 5 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
149
Voted
ICRA
2003
IEEE
139views Robotics» more  ICRA 2003»
15 years 10 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 10 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 9 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...
117
Voted
AAAI
1990
15 years 6 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