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» Probabilistic Mapping of an Environment by a Mobile Robot
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ICML
2010
IEEE
13 years 7 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
ICRA
2009
IEEE
117views Robotics» more  ICRA 2009»
14 years 2 months ago
Modeling RFID signal strength and tag detection for localization and mapping
— In recent years, there has been an increasing interest within the robotics community in investigating whether Radio Frequency Identification (RFID) technology can be utilized ...
Dominik Joho, Christian Plagemann, Wolfram Burgard
CEC
2007
IEEE
13 years 11 months ago
Mobile robot global localization using differential evolution and particle swarm optimization
For a mobile robot to move in a known environment and operate successfully, first it needs to robustly determine its initial position and orientation relative to the map, and then ...
Ali R. Vahdat, Naser NourAshrafoddin, Saeed Shiry ...
IROS
2007
IEEE
85views Robotics» more  IROS 2007»
14 years 1 months ago
Probabilistic map building considering sensor visibility for mobile robot
— This paper describes a method of probabilistic obstacle map building based on Bayesian estimation. Most active or passive obstacle sensors observe only the most frontal objects...
Kazuma Haraguchi, Nobutaka Shimada, Yoshiaki Shira...
ICRA
2000
IEEE
103views Robotics» more  ICRA 2000»
13 years 11 months ago
Invariant Filtering for Simultaneous Localization and Mapping
This paper presents an algorithm for simultaneous localization and map building for a mobile robot moving in an unknown environment. The robot can measure only the bearings to ide...
Matthew Deans, Martial Hebert