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ICRA
2000
IEEE
121views Robotics» more  ICRA 2000»
13 years 8 months ago
Using Multiple Gaussian Hypotheses to Represent Probability Distributions for Mobile Robot Localization
A new mobile robot localization technique is presented which uses multiple Gaussian hypotheses to represent the probability distribution of the robots location in the environment....
David J. Austin, Patric Jensfelt
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 3 months ago
A general Gaussian-mixture approach for range-only mapping using multiple hypotheses
— Radio signal-based localization and mapping is becoming more interesting as applications involving the collaboration between robots and static wireless devices are more common....
Fernando Caballero, Luis Merino, Aníbal Oll...
ISER
2000
Springer
133views Robotics» more  ISER 2000»
13 years 8 months ago
Merging Gaussian Distributions for Object Localization in Multi-robot Systems
: We present a method for representing, communicating, and fusing distributed, noisy, and uncertain observations of an object by multiple robots. The approach relies on re-paramete...
Ashley W. Stroupe, Martin C. Martin, Tucker R. Bal...
ICRA
2009
IEEE
155views Robotics» more  ICRA 2009»
13 years 11 months ago
Monte Carlo simultaneous localization of multiple unknown transient radio sources using a mobile robot with a directional antenn
— We report our system and algorithm developments that enable a single mobile robot equipped with a directional antenna to simultaneously localize multiple unknown transient radi...
Dezhen Song, Chang-Young Kim, Jingang Yi
CVPR
1999
IEEE
14 years 7 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg