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ICRA
2007
IEEE
160views Robotics» more  ICRA 2007»
14 years 2 months ago
CRF-Filters: Discriminative Particle Filters for Sequential State Estimation
Abstract— Particle filters have been applied with great success to various state estimation problems in robotics. However, particle filters often require extensive parameter tw...
Benson Limketkai, Dieter Fox, Lin Liao
ICCV
2009
IEEE
15 years 1 months ago
Shape Guided Contour Grouping with Particle Filters
We propose a novel framework for contour based object detection and recognition, which we formulate as a joint contour fragment grouping and labeling problem. For a given set of...
ChengEn Lu, Longin Jan Latecki, Nagesh Adluru, Hai...
ICRA
2005
IEEE
132views Robotics» more  ICRA 2005»
14 years 2 months ago
Handling the Inconsistency of Relative Map Filter
— In [5], a version of Relative Map Filter (RMF) is proposed to solve the simultaneous localization and map building (SLAM) problem. In the RMF, the map states contain only quant...
Viet Nguyen, Agostino Martinelli, Roland Siegwart
IJACTAICIT
2010
163views more  IJACTAICIT 2010»
13 years 5 months ago
Modified Vector Field Histogram with a Neural Network Learning Model for Mobile Robot Path Planning and Obstacle Avoidance
In this work, a Modified Vector Field Histogram (MVFH) has been developed to improve path planning and obstacle avoidance for a wheeled driven mobile robot. It permits the detecti...
Bahaa I. Kazem, Ali H. Hamad, Mustafa M. Mozael
CEC
2007
IEEE
14 years 16 days ago
Mobile robot global localization using differential evolution and particle swarm optimization
For a mobile robot to move in a known environment and operate successfully, first it needs to robustly determine its initial position and orientation relative to the map, and then ...
Ali R. Vahdat, Naser NourAshrafoddin, Saeed Shiry ...