A recognition method about lidar data based on the rough set

Yi Zhang*, Mengyin Fu, Meiling Wang, Qian Xu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper analyzes how to achieve the accuracy of the lidar data processing. In this paper, we analyze the ways about classification of the point cloud data and extraction of the attribute feature data. We find a way on attaching attribute information to the point cloud data sets. At last, we use rough set algorithm to excavate clustering rules from a large number of the point cloud data. We achieved the point cloud data clustering by the method of rough set, and completed the recognition of obstacles.

Original languageEnglish
Title of host publicationProceedings of the 33rd Chinese Control Conference, CCC 2014
EditorsShengyuan Xu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages8402-8407
Number of pages6
ISBN (Electronic)9789881563842
DOIs
Publication statusPublished - 11 Sept 2014
EventProceedings of the 33rd Chinese Control Conference, CCC 2014 - Nanjing, China
Duration: 28 Jul 201430 Jul 2014

Publication series

NameProceedings of the 33rd Chinese Control Conference, CCC 2014
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

ConferenceProceedings of the 33rd Chinese Control Conference, CCC 2014
Country/TerritoryChina
CityNanjing
Period28/07/1430/07/14

Keywords

  • Data Mining
  • Point Cloud Data
  • Rough Set

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