Survey of optical indoor positioning systems

By Rainer Mautz, S. Tilch. International Conference on Indoor Positioning and Indoor Navigation, 2011

305 citations recorded by the source corpus.

How researchers see this paper

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Synthetic Data for Deep Learning (2019, background): “The main problems remain the same—SLAM and navigation—but the potential applications are now more in the field of home robotics, industrial robots, and embodied AI [398, 712].”
Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances (2016, background): “The success of image based technologies relies on different factors, such as; improvement and miniaturization of actuators, advancement in the technology of the detectors, an increase in the data transmission rates and computational capabilities and development of algorithms in image processing [34]”
A survey on indoor positioning systems (2014, methodology): “The WLAN RSS approach can use three basic ways to localize the target device: • Cell of Origin (CoO) method: it works by knowing the coordinates of the access point (AP) to which the devices are connected.”
An in-Depth Survey of Visible Light Communication Based Positioning Systems (2016, methodology): “When a camera is used as the receiver, VLC based positioning might look similar to the vision based positioning [15–18] which has been developed in robot vision or augmented reality applications, for quite long time.”
Beyond Massive MIMO: The Potential of Positioning With Large Intelligent Surfaces (2017, background): “These scaling laws play in favor of a LIS when compared to other positioning technologies e.g., optical systems [12].”