During the joint conferences of the IEEE International Conference on the Internet-of-Things Design and Implementation (IoTDI) (website) and the IEEE International Conference on Cloud Engineering (IC2E) (website) I presented my work on indoor localisation and SLAM:

The indoor localisation problem is more complex than just finding whereabouts of users. Finding positions of users relative to the devices of a smart space is even more important. Unfortunately, configuring such systems manually is a tedious process, requires expert knowledge, and is sensitive to changes in the environment. Moreover, many existing solutions do not take user privacy into account. We propose a new system, called Simultaneous Localisation and Configuration (SLAC), to address the problem of locating devices and users relative to those devices, and combine this problem into a single estimation problem. The SLAC algorithm, based on FastSLAM, is able to locate devices using the received signal strength indicator (RSSI) of devices and motion data from users.

The presentation can be viewed online for those that are interested in our research and design considerations. As the presentation is built using Reveal.js it can be viewed in any modern browser (both mobile and desktop).

View the presentation full screen (external window) →

Reference

This project/post was part of my research on indoor localization. Please see my paper or this presentation for more information. You can use the following reference if you want to cite my paper:

W. Bulten, A. C. V. Rossum and W. F. G. Haselager, “Human SLAM, Indoor Localisation of Devices and Users,” 2016 IEEE First International Conference on Internet-of-Things Design and Implementation (IoTDI), Berlin, 2016, pp. 211-222. doi: 10.1109/IoTDI.2015.19 URL

Or, if you prefer in BibTeX format:

@INPROCEEDINGS{7471364, 
author={W. Bulten and A. C. V. Rossum and W. F. G. Haselager}, 
booktitle={2016 IEEE First International Conference on Internet-of-Things Design and Implementation (IoTDI)}, 
title={Human SLAM, Indoor Localisation of Devices and Users}, 
year={2016}, 
pages={211-222}, 
keywords={RSSI;data privacy;indoor environment;ubiquitous computing;FastSLAM;RSSI update;SLAC algorithm;device RSSI;device indoor localisation;device location;device position;environment noise;human SLAM;nontrivial environment;received signal strength indicator;simultaneous localisation and configuration;smart space;user indoor localisation;user motion data;user privacy;Estimation;Performance evaluation;Privacy;Simultaneous localization and mapping;Privacy;Simultaneous localization and mapping;Smart Homes;Ubiquitous computing;Wireless sensor networks}, 
doi={10.1109/IoTDI.2015.19}, 
month={April},}