17 search results - page 1 / 4 » Improved likelihood models for probabilistic localization ba... |
IROS
2007
IEEE
13 years 11 months ago
2007
IEEE
— Range sensors are popular for localization since they directly measure the geometry of the local environment. Another distinct benefit is their typically high accuracy and spa...
ICRA
2008
IEEE
13 years 11 months ago
2008
IEEE
— One of the key tasks during the realization of probabilistic approaches to localization is the design of a proper sensor model, that calculates the likelihood of a measurement ...
RSS
2007
13 years 6 months ago
2007
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
JAIR
2008
13 years 5 months ago
2008
This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and...
ICRA
2009
IEEE
13 years 2 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...