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AAAI
1992
13 years 9 months ago
Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. ...
IROS
2009
IEEE
139views Robotics» more  IROS 2009»
14 years 2 months ago
On the use of 2D navigable maps for enhancing ground vehicle localization
Abstract— For ground vehicle localization, hybrid-GNSS localizers now use commonly dead-reckoning sensors, like odometers or inertial units. They are designed to increase the acc...
Clément Fouque, Philippe Bonnifait
ICRA
2005
IEEE
131views Robotics» more  ICRA 2005»
14 years 1 months ago
Multifunctional Whisker Arrays for Distance Detection, Terrain Mapping, and Object Feature Extraction
: Several species of animals use whiskers to accurately navigate and explore objects in the absence of vision. We have developed inexpensive arrays of artificial whiskers based on ...
Aimee Schultz, Joseph Solomon, Michael A. Peshkin,...
CRV
2005
IEEE
272views Robotics» more  CRV 2005»
13 years 10 months ago
Real-Time Video Surveillance with Self-Organizing Maps
In this paper, we present an approach for video surveillance involving (a) moving object detection, (b) tracking and (c) normal/abnormal event recognition. The detection step uses...
Mohamed Dahmane, Jean Meunier
AAAI
2004
13 years 9 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