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  • 标题:Boosting Support Vector Machines for RGB-D Based Terrain Classification
  • 本地全文:下载
  • 作者:Jan Wietrzykowski ; Dominik Belter
  • 期刊名称:Journal of Automation, Mobile Robotics & Intelligent Systems (JAMRIS)
  • 印刷版ISSN:1897-8649
  • 电子版ISSN:2080-2145
  • 出版年度:2014
  • 卷号:8
  • 期号:3
  • 页码:28
  • DOI:10.14313/JAMRIS_3-2014/24
  • 出版社:Industrial Research Inst. for Automation and Measurements, Warsaw
  • 摘要:This paper deals with the terrain classifica.on problem for an autonomous mobile robot. The robot is designed to operate in an outdoor environment. The classifier in- tegrates data from RGB camera and 2D laser scanner. The camera provides informa.on about visual appear- ance of the objects in front of the robot. The laser scan- ner provides data about distance to the objects and their ability to re.ect infrared beam. In this paper we present the method which create terrain segments and classifies them using joint applica.on of Support Vector Machine (SVM) classifier and AdaBoost algorithm. The classifica- .on results of the experimental verifica.on are provided in the paper.
  • 关键词:Terrain classifica.on; mobile robot; RGB-D
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