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An improved polar scan matching using genetic algorithm

  • Ze Su Cai*
  • , Bing Rong Hong
  • , Hong Li
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This study presents a novel method for 2D laser scan matching called Genetic Polar Scan Matching (GPSM). The method combined the Genetic algorithm that used to solve automatic Pre-alignment two 2D scan data represented by sets of points with a Polar Scan Matching (PSM). The GPSM not only avoid searching for point associations by simply matching points with the same bearing, but also produce accurate results without limiting a small orientation between a reference scan and current scan. The experiments illustrate how the performances of this method are better than PSM and Iterate Closest Point (ICP) in terms of robustness and accuracy.

Original languageEnglish
Pages (from-to)89-95
Number of pages7
JournalInformation Technology Journal
Volume6
Issue number1
DOIs
StatePublished - 1 Jan 2007

Keywords

  • Genetic algorithm
  • Iterate Closest Point (ICP)
  • Polar scan matching
  • Pre-alignment

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