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Experimental Research on Feature Extraction of Laser SLAM Based on Artificial Landmarks

  • School of Mechatronics Engineering, Harbin Institute of Technology

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

Abstract

Simultaneous Localization and Mapping (SLAM) is the core issue in the field of mobile robots. Laser SLAM is one of the widely used solutions for the application of SLAM in engineering. Laser SLAM estimates the change of the robot pose using the features of the environment. However, it is difficult to extract natural features in a highly similar environment. Therefore, artificial landmarks are needed to be placed in the environment when necessary. In this paper, the reflective characteristics of the artificial landmark are analyzed experimentally, and two feature parameters for the extraction of the artificial landmark are proposed based on their reflective characteristics. One of them is the intensity of the reflected light received by the laser ranger, and the other is the number of the laser points that the artificial landmark can continuously reflect back in each scan. Through the statistical analysis of the laser data collected in the experiment, the specific values of these two parameters are determined, and the detection range of the laser ranger to effectively extract the landmark under the selected parameters is measured experimentally. These results provide experimental support for the deployment of the landmarks in the environment.

Original languageEnglish
Title of host publicationProceedings of the 31st Chinese Control and Decision Conference, CCDC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5495-5500
Number of pages6
ISBN (Electronic)9781728101057
DOIs
StatePublished - Jun 2019
Externally publishedYes
Event31st Chinese Control and Decision Conference, CCDC 2019 - Nanchang, China
Duration: 3 Jun 20195 Jun 2019

Publication series

NameProceedings of the 31st Chinese Control and Decision Conference, CCDC 2019

Conference

Conference31st Chinese Control and Decision Conference, CCDC 2019
Country/TerritoryChina
CityNanchang
Period3/06/195/06/19

Keywords

  • Artificial Landmarks
  • Feature Extraction
  • Laser SLAM

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