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An environmental cognition method based on 3D laser radar

  • Mingehen Gao*
  • , Weihai Chen
  • , Jingmeng Liu
  • , Xiaoqi Chen
  • *Corresponding author for this work
  • Beihang University
  • University of Canterbury

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents normal vector clustering method for environmental cognition using 3D laser radar. With the special design of 3D laser radar, accurate 3D depth of field data can be obtained. The proposed method acts on facet-unit, which is a description of the basic unit of 3D laser data. The novel method, which significantly reduces the amount of computation and improves the computational speed, is able to efficiently distinguish different flats in the 3D space. An embedded system is adopted as the platform for data processing and visualization. TinyGL is implemented on Qt-embedded to enhance the performance of environment map reconstruction and visualization. Experimental results validate the effectiveness of the 3D laser radar and cognition method developed.

Original languageEnglish
Title of host publicationProceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 2009, DETC2009
Pages405-410
Number of pages6
DOIs
StatePublished - 2010
Event2009 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC2009 - San Diego, CA, United States
Duration: 30 Aug 2009 → 2 Sep 2009

Publication series

NameProceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 2009, DETC2009
Volume3

Conference

Conference2009 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC2009
Country/TerritoryUnited States
CitySan Diego, CA
Period30/08/09 → 2/09/09

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