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  • 标题:A Survey on sensing Methods and Feature Extraction Algorithms for Slam Problem
  • 本地全文:下载
  • 作者:Adheen Ajay ; D. Venkataraman
  • 期刊名称:International Journal of Computer Science, Engineering and Applications (IJCSEA)
  • 印刷版ISSN:2231-0088
  • 电子版ISSN:2230-9616
  • 出版年度:2013
  • 卷号:3
  • 期号:1
  • DOI:10.5121/ijcsea.2013.3105
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:This paper is a survey work for a bigger project for designing a Visual SLAM robot to generate 3D dense map of an unknown unstructured environment. A lot of factors have to be considered while designing a SLAM robot. Sensing method of the SLAM robot should be determined by considering the kind of environment to be modelled. Similarly the type of environment determines the suitable feature extraction method. This paper goes through the sensing methods used in some recently published papers. The main objective of this survey is to conduct a comparative study among the current sensing methodsandfeature extraction algorithms and to extract out the best for our work.
  • 关键词:SLAM; SLAM sensing methods;SLAM feature extraction.
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