Visibility-based pursuit-evasion: the case of curved environments

Steven M. La Valle, John E. Hinrichsen

Research output: Contribution to journalConference articlepeer-review

Abstract

We consider the problem of visually searching for an unpredictable target that can move arbitrarily fast in a simply-connected, curved, two-dimensional environment. A complete algorithm is presented that is guaranteed to find the elusive target if it is possible for a single pursuer. The key to the algorithm is a cell decomposition based on critical visibility events that occur because of inflections and bitangents of the environment boundary. We have implemented the cell decomposition algorithm, and show several computed examples. The technique is an extension and simplification of a previous technique for searching a polygonal environment. Our solution can also be considered as a step towards a unified approach to pursuit-evasion strategies that have little dependency on the representation of the environment.

Original languageEnglish (US)
Pages (from-to)1677-1682
Number of pages6
JournalProceedings - IEEE International Conference on Robotics and Automation
Volume3
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 IEEE International Conference on Robotics and Automation, ICRA99 - Detroit, MI, USA
Duration: May 10 1999May 15 1999

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Control and Systems Engineering

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