Prediction of human's movement for collision avoidance of mobile robot

Shunsuke Hamasaki, Yusuke Tamura, Atsushi Yamashita, Hajime Asama

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

14 Citations (Scopus)

Abstract

In order to operate mobile robot that can coexist with human, it is necessary to strike a balance between safety and efficiency. It is effective to make a prediction about when and where human exist from data of pedestrian movement and environment. Then, we need to know how the configuration of environment effects pedestrian. This paper presents a measuring system of pedestrian movement tendency, and prediction system of pedestrian movement. We conducted the prediction experiment with real observed data, and proved that system can contribute to the balancing safety and efficiency of operating mobile robot.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
Pages1633-1638
Number of pages6
DOIs
Publication statusPublished - 2011 Dec 1
Externally publishedYes
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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