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EUROS
2006
79views Robotics» more  EUROS 2006»
13 years 9 months ago
Efficient Failure Detection for Mobile Robots Using Mixed-Abstraction Particle Filters
Christian Plagemann, Cyrill Stachniss, Wolfram Bur...
AROBOTS
2010
194views more  AROBOTS 2010»
13 years 3 months ago
Computationally efficient solutions for tracking people with a mobile robot: an experimental evaluation of Bayesian filters
Abstract Modern service robots will soon become an essential part of modern society. As they have to move and act in human environments, it is essential for them to be provided wit...
Nicola Bellotto, Huosheng Hu
CVIU
2010
184views more  CVIU 2010»
13 years 2 months ago
Vision and RFID data fusion for tracking people in crowds by a mobile robot
In this paper, we address the problem of realizing a human following task in a crowded environment. We consider an active perception system, consisting of a camera mounted on a pa...
Thierry Germa, Frédéric Lerasle, Nou...
IROS
2006
IEEE
168views Robotics» more  IROS 2006»
13 years 11 months ago
An Entropy-Based Measurement of Certainty in Rao-Blackwellized Particle Filter Mapping
– In Bayesian based approaches to mobile robot simultaneous localization and mapping, Rao-Blackwellized particle filters (RBPF) enable the efficient estimation of the posterior b...
Jose-Luis Blanco, Juan-Antonio Fernandez-Madrigal,...
IJSR
2010
153views more  IJSR 2010»
13 years 2 months ago
A Bank of Unscented Kalman Filters for Multimodal Human Perception with Mobile Service Robots
A new generation of mobile service robots could be ready soon to operate in human environments if they can robustly estimate position and identity of surrounding people. Researcher...
Nicola Bellotto, Huosheng Hu