Knowledge-based adaptive thresholding from shadows

  • Authors:
  • Paulo Santos;Hannah M. Dee;Valquiria Fenelon

  • Affiliations:
  • Paulo Santos is with Elect. Eng. Dep., FEI, Sao Paulo, Brazil, email: psantos@fei.edu.br;Hannah Dee is with School of Computing, University of Leeds, UK, email: hannah@comp.leeds.ac.uk.;Valquiria Fenelon is with Elect. Eng. Dep., FEI, Sao Paulo, Brazil

  • Venue:
  • Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
  • Year:
  • 2010

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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.