Sciweavers

313 search results - page 43 / 63
» Probabilistic Mapping of an Environment by a Mobile Robot
Sort
View
AAAI
2004
13 years 8 months ago
Self-Organizing Visual Maps
This paper deals with automatically learning the spatial distribution of a set of images. That is, given a sequence of images acquired from well-separated locations, how can they ...
Robert Sim, Gregory Dudek
CVPR
1999
IEEE
14 years 9 months ago
Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization
To navigate reliably in indoor environments, a mobile robot must know where it is. This includes both the ability of globally localizing the robot from scratch, as well as trackin...
Frank Dellaert, Wolfram Burgard, Dieter Fox, Sebas...
DICTA
2007
13 years 8 months ago
On the Induction of Topological Maps from Sequences of Colour Histograms
This paper presents an appearance–based method to automatically determine places from vision data for topological mapping. The approach exploits the continuity of the visual app...
Felix Werner, Joaquin Sitte, Frédéri...
AROBOTS
2011
13 years 2 months ago
Large scale graph-based SLAM using aerial images as prior information
— To effectively navigate in their environments and accurately reach their target locations, mobile robots require a globally consistent map of the environment. The problem of le...
Rainer Kümmerle, Bastian Steder, Christian Do...
ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
14 years 1 months ago
Supervised Learning of Places from Range Data using AdaBoost
— This paper addresses the problem of classifying places in the environment of a mobile robot into semantic categories. We believe that semantic information about the type of pla...
Óscar Martínez Mozos, Cyrill Stachni...