39 search results - page 3 / 8 » Bayesian Estimation and Kalman Filtering: A Unified Framewor... |
ICRA
1994
IEEE
13 years 9 months ago
1994
IEEE
A mobile robot requires perception of its local environment for both sensor based locomotion and for position estimation. Occupancy grids, based on ultrasonic range data, provide ...
JIRS
2011
12 years 8 months ago
2011
Abstract This paper deals with the problem of mobile-robot localization in structured environments. The extended Kalman filter (EKF) is used to localize the fourwheeled mobile robo...
IROS
2006
IEEE
13 years 11 months ago
2006
IEEE
– In Bayesian based approaches to mobile robot simultaneous localization and mapping, Rao-Blackwellized particle filters (RBPF) enable the efficient estimation of the posterior b...
IJRR
2002
13 years 4 months ago
2002
A key component of a mobile robot system is the ability to localize itself accurately and, simultaneously, to build a map of the environment. Most of the existing algorithms are b...
ETFA
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper presents a novel algorithm for 3D depth estimation using a particle filter (PFDE - Particle Filter Depth Estimation) in a monocular vSLAM (Visual Simultaneous Localiza...