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IBPRIA
2005
Springer
15 years 3 months ago
Monte Carlo Localization Using SIFT Features
The ability of finding its situation in a given environment is crucial for an autonomous agent. While navigating through a space, a mobile robot must be capable of finding its lo...
Arturo Gil, Óscar Reinoso, Maria Asunci&oac...
IJRR
2011
210views more  IJRR 2011»
14 years 4 months ago
Visual-Inertial Sensor Fusion: Localization, Mapping and Sensor-to-Sensor Self-calibration
Visual and inertial sensors, in combination, are able to provide accurate motion estimates and are well-suited for use in many robot navigation tasks. However, correct data fusion...
Jonathan Kelly, Gaurav S. Sukhatme
AAAI
2007
14 years 12 months ago
Hybrid Inference for Sensor Network Localization Using a Mobile Robot
In this paper, we consider a hybrid solution to the sensor network position inference problem, which combines a real-time filtering system with information from a more expensive,...
Dimitri Marinakis, David Meger, Ioannis M. Rekleit...
ICRA
1998
IEEE
76views Robotics» more  ICRA 1998»
15 years 1 months ago
A Hybrid Collision Avoidance Method for Mobile Robots
This paper proposes a hybrid approach to the problem of collision avoidance for indoor mobile robots. The DWA (short for: model-based dynamic window approach) integrates sensor dat...
Dieter Fox, Wolfram Burgard, Sebastian Thrun, Armi...
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RAS
2010
164views more  RAS 2010»
14 years 8 months ago
Bridging the gap between feature- and grid-based SLAM
One important design decision for the development of autonomously navigating mobile robots is the choice of the representation of the environment. This includes the question which...
Kai M. Wurm, Cyrill Stachniss, Giorgio Grisetti