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Environmental Codes for Autonomous Position Determination

Authors:
Kamen Kanev
Hirotaka Kato
Reneta Barneva
Zhuojun Fu
Shigeo Kimura

Keywords: position determination; mapping; semantic surfaces; navigation; SLAM; surface encoding; CLUSPI.

Abstract:
This work focuses on pervasive environmental codes that serve as an interface to augmented vision devices and provide support for localization and automated navigation. We begin with a concise overview of methods for automating the localization of humans and autonomous agents including mobile robots. Automated localization is based on mapping where positions, orientations, and other localization parameters are determined either on a plane or in a three-dimensional space. While various devices such as sonar and ultrasound locators, laser scanners, visible light and infrared cameras, etc. are considered for gathering of the necessary mapping information the focus of our work is on the innovative system for environmental semantic encoding that we have developed. In this system, we have successfully implemented semantic surfaces with embedded marking which provide additional information alone, separately and independently from all the visual features and properties of the surrounding physical surfaces.

Pages: 282 to 287

Copyright: Copyright (c) IARIA, 2012

Publication date: June 24, 2012

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-202-8

Location: Venice, Italy

Dates: from June 24, 2012 to June 29, 2012