Autonomous Configuration Method for Real-Time Location Systems

Edelhäußer, Thorsten; Kókai, Gabriella

doi:10.1109/ahs.2009.10

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…An autonomous configuration method applying an EA to determine the pose of the receiving elements was introduced in [8]. A robot drives to selected or randomly chosen points to take measurements and finally calculates the antenna's pose of all measured points.…”

Section: Related Workmentioning

confidence: 99%

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Environment-based measurement planning for autonomous RTLS configuration

Edelhauser

Janiak

Kókai

2010

2010 NASA/ESA Conference on Adaptive Hardware and Systems

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We present a novel approach for selecting measurement points online to determine the pose (position and orientation) of an Real-Time Location System's (RTLS) receiving element. In combination with the RANSAC algorithm, we generate a selection of measurement points excluding bad measurements to get the right estimation of the pose. The proposed algorithm considers obstacles and boundaries, which are previously unknown. On the basis of an AoA system, we demonstrate the applicability and accuracy gain of our algorithm in simulation and real experiment

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Section: Related Workmentioning

confidence: 99%

“…The solution is a non-linear system of equations which is solvable for example with the Newton-Raphon method. There are also solutions for the special case of determining the pose, for example based on a heuristic [8] or approximation of distances [9].…”

Section: Autonomous Configurationmentioning

confidence: 99%

Environment-based measurement planning for autonomous RTLS configuration

Edelhauser

Janiak

Kókai

2010

2010 NASA/ESA Conference on Adaptive Hardware and Systems

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Locating rate adaptation by evaluating movement specific parameters

Brugger

Kemeth

2010

2010 NASA/ESA Conference on Adaptive Hardware and Systems

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We introduce different techniques, to adapt the update rate of a Real Time Locating System (RTLS) using Angle of Arrival (AoA) and Round Trip Time (RTT). A dedicated algorithm is implemented to detect the speed of walking of a person by exploiting data on the steps from a 3-dimensional accelerometer. Its implementation is described and the results of two experiments are discussed demonstrating the gain of the adaptation in terms of an increased channel capacity

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Autonomous Configuration Method for Real-Time Location Systems

Cited by 2 publications

References 6 publications

Environment-based measurement planning for autonomous RTLS configuration

Environment-based measurement planning for autonomous RTLS configuration

Locating rate adaptation by evaluating movement specific parameters

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