Laser reflection intensity and multi-layered laser range finders for people detection

Alexander Carballo, Akihisa Ohya, Shin'ichi Yuta

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

Successful detection of people is a basic requirement for a robot to achieve symbiosis in people's daily life. Specifically, a mobile robot designed to follow people needs to keep track of people's position through time, for it defines the robot's position and trajectory. In this work we introduce the usage of reflection intensity data of Laser Range Finders (LRF) arranged in multiple layers for people detection. We use supervised learning to train strong classifiers including intensity-based features. Concretely, we propose a calibration method for laser intensity and introduce new intensity-based features for people detection which are combined with range-based features in a strong classifier using supervised learning. We provide experimental results to evaluate the effectiveness of these features. This work is an step towards of our main research project of developing a social autonomous mobile robot acting as member of a people group.

本文言語English
ホスト出版物のタイトル19th International Symposium in Robot and Human Interactive Communication, RO-MAN 2010
ページ379-384
ページ数6
DOI
出版ステータスPublished - 2010 12 13
イベント19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010 - Viareggio, Italy
継続期間: 2010 9 122010 9 15

出版物シリーズ

名前Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

Conference

Conference19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010
CountryItaly
CityViareggio
Period10/9/1210/9/15

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

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