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Proceedings ArticleDOI

Indoor IR azimuth sensor using a linear polarizer

TLDR
It is not currently possible, in virtually any indoor environment like an office or factory, to use geomagnetism to detect the existence of iron-based furniture or reinforced concrete, so an Infrared-Ray (IR) type azimuth sensor system for use in indoor environments is proposed.
Abstract
We propose an Infrared-Ray (IR) type azimuth sensor system for use in indoor environments. The feature of this sensor is an adequate conic-shaped linear polarizer film. Because of the drift in the sensor, azimuth information provided by the angular velocity sensor (gyroscope) is unreliable. It is not currently possible, in virtually any indoor environment like an office or factory, to use geomagnetism to detect the existence of iron-based furniture or reinforced concrete. Our sensor system can recognize a position measured from the non-drift azimuth information based on the installation of only one landmark. We created a prototype of the sensor based on this concept and discuss the sensing properties, as indicated by experimental results.

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Citations
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Book

Indoor Positioning Technologies

Rainer Mautz
TL;DR: This work aims to provide arobust, scalable, scalable and scalable approach to Indoor Positioning that combines 3D Building Modeling, 3D Targeting, and 3D Sensors into a single system.
Proceedings ArticleDOI

A survey on indoor positioning systems

TL;DR: Focus on one of the major challenges in the indoor localization field, i.e., the indoor animal tracking, existing indoor tracking systems have been reviewed and compared by analyzing advantages and drawbacks.
Book ChapterDOI

Can Near Field Communication Solve The Limitations in Mobile Indoor Navigation

TL;DR: NFC is a novel method of navigating in indoor environments and providing an overview of its benefits and usefulness compared with existing indoor navigation technologies is the subject of this chapter.
Journal ArticleDOI

An Overview of Location Semantics Technologies and Applications

TL;DR: An overview of indoor localization technologies, popular models for extracting semantics from locationData, approaches for associating semantic information and location data, and applications that may be enabled with location semantics are provided.
References
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Journal ArticleDOI

An autonomous agent navigating with a polarized light compass

TL;DR: A polarization compass is constructed that was employed successfully on the mobile robot Sahabot and three models for extracting compass information from the polarization pattern of the sky were tested.
Proceedings ArticleDOI

Optical azimuth sensor for indoor mobile robot navigation

TL;DR: A new type of azimuth angular sensor for an indoor mobile robot navigation is developed using infrared linear polarization, which can acquire simultaneously not only the distance from a landmark but an angle of direction.
Journal ArticleDOI

Navigation Algorithm for Mobile Robots Using Information of Target Direction

TL;DR: A sensor-based navigation algorithm for mobile robots using information of target direction using the rotational angle of the robot based on topological characteristic of obstacles is proposed and some simulations show an effectiveness by comparison of the proposed method and a conventional position based algorithm.
Journal ArticleDOI

Development of a Two Degrees-Of-Freedom Target Direction Sensor System for Localization of Mobile Robots

TL;DR: Using two measured values by the sensor system, mobile robot's current position is calculated by a geometrical relation of the mobile robot and the landmark.