Proposal of the extended HFM by detection of the room area based on door recognition

Kimiko Motonaka, Shoichi Maeyama, Keigo Watanabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, it is expected that a robot plays an active part in living space where a person lives. When the robot moves in dynamic environments, the robot has to achieve the path planning that considers human movements so as to care about the person. In this research, the human's walking route is observed to generate the route for the robot automatically, assuming that sensors are distributed in the environmental side. Then, we extend 'Human Frequency Map (HFM)' to handle the recognition of a door. The extended HFM can reflect the human movements to the path planning by considering the human motion trend more than the existing HFM.

Original languageEnglish
Title of host publication6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
Pages759-762
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe, Japan
Duration: Nov 20 2012Nov 24 2012

Other

Other2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012
CountryJapan
CityKobe
Period11/20/1211/24/12

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

Cite this

Motonaka, K., Maeyama, S., & Watanabe, K. (2012). Proposal of the extended HFM by detection of the room area based on door recognition. In 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012 (pp. 759-762). [6505215] https://doi.org/10.1109/SCIS-ISIS.2012.6505215