Knowledge-based adaptive thresholding from shadows

Paulo Santos, Hannah M. Dee, Valquiria Fenelon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents results of a mobile robot qualitative self-localisation experiment using information from cast shadows. We present results of self-localisation using two methods for obtaining the threshold automatically: in one method the images are segmented according to their grey-scale histograms, in the other the threshold is set according to a prediction about the robot's location, given a shadow-based map defined upon a qualitative spatial reasoning theory. To the best of our knowledge this is the first work that uses qualitative spatial representations both to perform egolocation and to calibrate a robot's interpretation of its perceptual input.

Original languageEnglish
Title of host publicationECAI 2010
Subtitle of host publication19th European Conference on Artificial Intelligence
PublisherIOS PRESS
Pages1089-1090
Number of pages2
ISBN (Electronic)978-1-60750-606-5
ISBN (Print)978-1-60750-605-8
DOIs
Publication statusPublished - 1 Jan 2010
Externally publishedYes
Event2nd Workshop on Knowledge Representation for Health Care, KR4HC 2010, held in conjunction with the 19th European Conference in Artificial Intelligence, ECAI 2010 - Lisbon, Portugal
Duration: 17 Aug 201017 Aug 2010

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume215
ISSN (Print)0922-6389

Conference

Conference2nd Workshop on Knowledge Representation for Health Care, KR4HC 2010, held in conjunction with the 19th European Conference in Artificial Intelligence, ECAI 2010
CountryPortugal
CityLisbon
Period17/08/1017/08/10

Bibliographical note

CC BY-NC

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