Home /Research /Complexity study of guaranteed state estimation applied to robot localization
OTHER

Complexity study of guaranteed state estimation applied to robot localization

Emmanuel Seignez, Alain Lambert

Year
2008
Citations
3

Abstract

The estimation of a vehicle configuration in its environment is mostly solved by Bayesian methods. Interval analysis allows an alternative approach: bounded-error localization. Such an approach provides a bounded set of configuration that is guaranteed to surround the actual vehicle configuration. This method is validated in real time through experimental results on a mobile robot in an indoor environment.

Keywords

Bounded functionMobile robotRobotComputer scienceSet (abstract data type)State (computer science)Interval (graph theory)Control theory (sociology)Bayesian probabilityRobot kinematics

Related papers

Browse all OTHER papers