An automated calibration method for the Local Positioning System LOSNUS

Syafrudin, Mohammad; Schweinzer, Herbert; Walter, Christian

doi:10.1109/i2mtc.2012.6229256

Cited by 1 publication

(1 citation statement)

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“…Some IPS can use the same ranging techniques that enable receiver positioning to obtain the distance between transmitters, from which the transmitter locations can also be obtained [ 27 , 28 ]. These interbeacon ranging techniques (sometimes also referred to as autocalibration) do assume that beacons can communicate with each other.…”

Section: Related Workmentioning

confidence: 99%

Calibration of Visible Light Positioning Systems with a Mobile Robot

Amsters

Demeester

Stevens

et al. 2021

Sensors

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Most indoor positioning systems require calibration before use. Fingerprinting requires the construction of a signal strength map, while ranging systems need the coordinates of the beacons. Calibration approaches exist for positioning systems that use Wi-Fi, radio frequency identification or ultrawideband. However, few examples are available for the calibration of visible light positioning systems. Most works focused on obtaining the channel model parameters or performed a calibration based on known receiver locations. In this paper, we describe an improved procedure that uses a mobile robot for data collection and is able to obtain a map of the environment with the beacon locations and their identities. Compared to previous work, the error is almost halved. Additionally, this approach does not require prior knowledge of the number of light sources or the receiver location. We demonstrate that the system performs well under a wide range of lighting conditions and investigate the influence of parameters such as the robot trajectory, camera resolution and field of view. Finally, we also close the loop between calibration and positioning and show that our approach has similar or better accuracy than manual calibration.

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Section: Related Workmentioning

confidence: 99%