Vision based SLAM for humanoid robots: A survey

Walaa Gouda, Walid Gomaa, Tetsuji Ogawa

研究成果: Paper

抜粋

This paper is a survey work for designing a Vision based Simultaneous Localization and Mapping (VSLAM) humanoid robot to generate a map of an unknown environment. A lot of factors have to be considered while designing a VSLAM robot. Vision Sensors are very attractive for application in SLAM because of their rich sensory output and cost effectiveness. Different issues are involved in the problem of vision based SLAM and many different approaches exist in order to solve these issues. Similarly the type of environment determines the suitable feature extraction method. The main objective of this survey is to conduct a comparative study among the current vision sensing methods in terms of imaging systems used for performing VSLAM, feature extraction algorithms used in some recently published papers, and initialization of landmarks, and to figure out the best for our work.

元の言語English
ページ170-175
ページ数6
DOI
出版物ステータスPublished - 2013 1 1
イベント2013 2nd International Japan-Egypt Conference on Electronics, Communications and Computers, JEC-ECC 2013 - Cairo, Egypt
継続期間: 2013 12 172013 12 19

Conference

Conference2013 2nd International Japan-Egypt Conference on Electronics, Communications and Computers, JEC-ECC 2013
Egypt
Cairo
期間13/12/1713/12/19

    フィンガープリント

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

これを引用

Gouda, W., Gomaa, W., & Ogawa, T. (2013). Vision based SLAM for humanoid robots: A survey. 170-175. 論文発表場所 2013 2nd International Japan-Egypt Conference on Electronics, Communications and Computers, JEC-ECC 2013, Cairo, Egypt. https://doi.org/10.1109/JEC-ECC.2013.6766407