2020
Karmacharya, Amrit; Mendoza-Silva, German Martín; Torres-Sospedra, Joaquín
Sensor Fusion and Well Condition Triangle Approach for BLE-based Indoor Positioning Proceedings Article
In: Ometov, A.; Nurmi, Jaarmi; Lohan, Elena Simona; Torres-Sospedra, Joaquín; (Eds), H. Kuusniemi (Ed.): Proceedings of the International Conference on Localization and GNSS (ICL GNSS 2020) CEUR Workshop Proceedings. Tampere, Finland, June 2-4 2020, CEUR, 2020, ISSN: 1613-0073 .
Abstract | Links | BibTeX | Tags: Indoor positioning, Mastergeotech
@inproceedings{Karmacharya2020b,
title = {Sensor Fusion and Well Condition Triangle Approach for BLE-based Indoor Positioning},
author = {Amrit Karmacharya and German Martín Mendoza-Silva and Joaquín Torres-Sospedra },
editor = {A. Ometov and Jaarmi Nurmi and Elena Simona Lohan and Joaquín Torres-Sospedra and H. Kuusniemi (Eds)},
url = {http://ceur-ws.org/Vol-2626/paper6.pdf },
issn = {1613-0073 },
year = {2020},
date = {2020-06-15},
booktitle = {Proceedings of the International Conference on Localization and GNSS (ICL GNSS 2020) CEUR Workshop Proceedings. Tampere, Finland, June 2-4 2020},
volume = {2626},
publisher = {CEUR},
abstract = {GPS has been a de-facto standard for outdoor positioning. For indoor positioning different systems exist. But there is no general solution to fit all situations. A popular choice among service provider is Bluetooth Low Energy (BLE) based Indoor Positioning System (IPS) . BLE has low cost, low power consumption, and it is compatible with newer smartphones. This paper introduces two ways for accuracy improvement i) a new algorithm for BLE-based IPS based on well-condition triangle and ii) fusion of BLE position estimates with IMU position estimates was implemented. Fusion generally gives better results but a noteworthy result from fusion was that the position estimates during turns were accurate. When used separately, both BLE and IMU estimates showed errors in turns. Fusion with IMU improved the accuracy of BLE based positioning.},
keywords = {Indoor positioning, Mastergeotech},
pubstate = {published},
tppubtype = {inproceedings}
}
GPS has been a de-facto standard for outdoor positioning. For indoor positioning different systems exist. But there is no general solution to fit all situations. A popular choice among service provider is Bluetooth Low Energy (BLE) based Indoor Positioning System (IPS) . BLE has low cost, low power consumption, and it is compatible with newer smartphones. This paper introduces two ways for accuracy improvement i) a new algorithm for BLE-based IPS based on well-condition triangle and ii) fusion of BLE position estimates with IMU position estimates was implemented. Fusion generally gives better results but a noteworthy result from fusion was that the position estimates during turns were accurate. When used separately, both BLE and IMU estimates showed errors in turns. Fusion with IMU improved the accuracy of BLE based positioning.
2015
Mendoza-Silva, Germán Martín
Agent-based parking occupancy simulation Masters Thesis
Universitat Jaume I, 2015.
Abstract | Links | BibTeX | Tags: Mastergeotech, parking, Smart Cities
@mastersthesis{MendozaSilva2015,
title = {Agent-based parking occupancy simulation},
author = {Germán Martín Mendoza-Silva},
editor = {Michael Gould (supervisor) and Ana-Cristina Costa (co-supervisor) and Jorge Mateu-Mahiques (co-supervisor)},
url = {http://hdl.handle.net/10234/148066},
year = {2015},
date = {2015-03-04},
school = {Universitat Jaume I},
abstract = {The existing parking simulations, as most simulations, are intended to gain insights of a system or to make predictions. The knowledge they have provided has built up over the years, and several research works have devised detailed parking system models. This thesis work describes the use of an agent-based parking simulation in the context of a bigger parking system development. It focuses more on flexibility than on fidelity, showing the case where it is relevant for a parking simulation to consume dynamically changing GIS data from external, online sources and how to address this case. The simulation generates the parking occupancy information that sensing technologies should eventually produce and supplies it to the bigger parking system. It is built as a Java application based on the MASON toolkit and consumes GIS data from an ArcGis Server. The application context of the implemented parking simulation is a university campus with free, on-street parking places },
keywords = {Mastergeotech, parking, Smart Cities},
pubstate = {published},
tppubtype = {mastersthesis}
}
The existing parking simulations, as most simulations, are intended to gain insights of a system or to make predictions. The knowledge they have provided has built up over the years, and several research works have devised detailed parking system models. This thesis work describes the use of an agent-based parking simulation in the context of a bigger parking system development. It focuses more on flexibility than on fidelity, showing the case where it is relevant for a parking simulation to consume dynamically changing GIS data from external, online sources and how to address this case. The simulation generates the parking occupancy information that sensing technologies should eventually produce and supplies it to the bigger parking system. It is built as a Java application based on the MASON toolkit and consumes GIS data from an ArcGis Server. The application context of the implemented parking simulation is a university campus with free, on-street parking places