34 search results - page 3 / 7 » Maximum likelihood estimation of sensor and action model fun... |
IROS
2007
IEEE
14 years 10 days ago
2007
IEEE
— 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...
JIRS
2010
13 years 4 months ago
2010
Abstract Localization is a key issue for a mobile robot, in particular in environments where a globally accurate positioning system, such as GPS, is not available. In these environ...
IROS
2006
IEEE
14 years 1 days ago
2006
IEEE
- In this paper, we present a novel technique for calibrating central omnidirectional cameras. The proposed procedure is very fast and completely automatic, as the user is only ask...
HRI
2006
ACM
14 years 59 min ago
2006
ACM
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
ICRA
2009
IEEE
13 years 3 months ago
2009
IEEE
Abstract-- A main difficulty that arises in the context of probabilistic localization is the design of an appropriate observation model, i.e., determining the likelihood of a senso...