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Complex Analysis for Reconstruction from Controlled Motion

  • R. Andrew Hicks
  • David Pettey
  • Kostas Daniilidis
  • Ruzena Bajcsy
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1689)

Abstract

We address the problem of control-based recovery of robot pose and the environmental lay-out. Panoramic sensors provide us with a 1D projection of characteristic features of a 2D operation map. Trajectories of these projections contain information about the position of a priori unknown landmarks in the environment. We introduce here the notion of spatiotemporal signatures of projection trajectories. These signatures are global measures, characterized by considerably higher robustness with respect to noise and outliers than the commonly applied point correspondence. By modeling the 2D motion plane as the complex plane we show that by means of complex analysis the reconstruction problem is reduced to a system of two quadratic — or even linear in some cases — equations in two variables. The algorithm is tested in simulations and real experiments.

Keywords

Mobile Robot Percent Error Vertical Edge Reconstruction Problem Angular Measurement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • R. Andrew Hicks
    • 1
  • David Pettey
    • 1
  • Kostas Daniilidis
    • 1
  • Ruzena Bajcsy
    • 1
  1. 1.GRASP Laboratory, Department of Computer and Information ScienceUniversity of PennsylvaniaPennsylvania

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