A Novel Light-Sensor-Based Information Transmission System for Indoor Positioning and Navigation

Cheok, Adrian David; Li, Yue

doi:10.1109/tim.2010.2047304

Cited by 36 publications

(16 citation statements)

References 8 publications

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“…Further, the magnetic field fluctuations and anomalies inside buildings [14] can be used to create landmarks for localization. Another possibility is using the fluorescent light as a medium to transmit position information by using a pulse-frequency modulation technique [15]. Hence, a smart phone can receive the encoded light information through the integrated camera and can calculate the position.…”

Section: Basic Indoor Localizationmentioning

confidence: 99%

Acoustic Self-Calibrating System for Indoor Smart Phone Tracking

Ens

Höflinger

Wendeberg

et al. 2015

International Journal of Navigation and Observation

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This paper presents an acoustic indoor localization system for commercial smart phones that emit high pitched acoustic signals beyond the audible range. The acoustic signals with an identifier code modulated on the signal are detected by self-built receivers which are placed at the ceiling or on walls in a room. The receivers are connected in a Wi-Fi network, such that they synchronize their clocks and exchange the time differences of arrival (TDoA) of the received chirps. The location of the smart phone is calculated by TDoA multilateration. The precise time measuring of sound enables high precision localization in indoor areas. Our approach enables applications that require high accuracy, such as finding products in a supermarket or guiding blind people through complicated buildings. We have evaluated our system in real-world experiments using different algorithms for calibrationfree localization and different types of sound signals. The adaptive GOGO-CFAR threshold enables a detection of 48% of the chirp pulses even at a distance of 30 m. In addition, we have compared the trajectory of a pedestrian carrying a smart phone to reference positions of an optic system. Consequently, the localization error is observed to be less than 30 cm.

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Section: Basic Indoor Localizationmentioning

confidence: 99%

Acoustic Self-Calibrating System for Indoor Smart Phone Tracking

Ens

Höflinger

Wendeberg

et al. 2015

International Journal of Navigation and Observation

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“…The acquired information can be useful to evaluate the customer behaviour. Many other indoor positioning system address this problem [1] [2] [3]. This paper discusses a positioning system from the other main group of positioning, which focuses on the accurate spatial location and orientation determination, from a point of view of unmanned indoor vehicles like mobile robots or indoor quadrotors.…”

Section: Introductionmentioning

confidence: 99%

Realization of an optical indoor positioning system based on TFT technology

Gozse

Soumelidis

Vanek

2013

2013 European Conference on Mobile Robots

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Abstract-The aim of this paper is to present a novel indoor positioning system which is based on a unique idea. The proposed positioning system provides an alternative to currently existing positioning system. A new idea of optical sensing has been applied that in combination with specific analogue preprocessing and digital signal processing techniques is capable to determine the position and the orientation of objects equipped with special markers. The method is based on moving a pinhole between a marker and the photodiode on the detector. A prototype realization is also outlined, and experimental results are presented to confirm the applicability of the method.

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“…Then, on the basis of the proposed algorithm determined the coordinates of the sensor. Determination of the coordinates with minimum error were performed using the RANSAC algorithm [19]. As mentioned above, measurement of distance to the sensor is conducted with some accuracy [20,21].…”

Section: Modeling Of the Systemmentioning

confidence: 99%

The model of the optoelectronic positioning system of industrial equipment

2016

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One way of reduce costs for the assembly of high-precision large-sized products, such as planes or ships of different purpose is minimize of the time spent for control of geometrical parameters docking of large parts. Present systems do not have the high performance and do not have the ability to control multiple objects at the same time. The proposed system consists of at least four scanning devices and at least one position sensor. The paper describes a mathematical model of the system, as well as the stand for the study of the system. It is shown that the use of a many scanning devices enables high accuracy in determining the coordinates of the sensors and it allows to monitor multiple sensor networks at the same time.

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A Novel Light-Sensor-Based Information Transmission System for Indoor Positioning and Navigation

Cited by 36 publications

References 8 publications

Acoustic Self-Calibrating System for Indoor Smart Phone Tracking

Acoustic Self-Calibrating System for Indoor Smart Phone Tracking

Realization of an optical indoor positioning system based on TFT technology

The model of the optoelectronic positioning system of industrial equipment

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