Building human motion map with human states estimation in indoor dynamic environments

Yuji Ogawa, Zhidong Wang, Tetsuya Wada, Ken Tomiyama, Yasuhisa Hirata, Kazuhiro Kosuge

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

3 Citations (Scopus)

Abstract

In recent years, robots working in human living space with human-robot interaction are actively researched. To these robots, it is important to perform environmental cognition including to estimate human states around the robots and to have environment map for autonomous motion of the robots. In this research, we focus on building maps of dynamic environment. In this paper, we proposed Human Motion Map, a high-dimensional map, which incorporating human states information into results of conventional SLAM. The Human Motion Map is with high potential on further human estimation and motion planning for robots by considering the uncertainties of environment and human states.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
Pages1090-1095
Number of pages6
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 - Phuket, Thailand
Duration: 2011 Dec 72011 Dec 11

Publication series

Name2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

Other

Other2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
CountryThailand
CityPhuket
Period11/12/711/12/11

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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