OpenHPS: A Modular Framework to Facilitate the Development of FAIR Positioning Systems

Maxim Van de Wynckel; Beat Signer

doi:10.21105/joss.08113

OpenHPS: A Modular Framework to Facilitate the Development of FAIR Positioning Systems

Maxim Van de Wynckel, Beat Signer

Research output: Contribution to journal › Article › peer-review

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Abstract

Positioning systems determine the location of people and objects using various technologies and algorithms. While GPS dominates outdoor positioning, indoor and smaller-scale systems often require alternative technologies for lower latency, higher accuracy, or greater efficiency. Often developed as single-use prototypes lacking standard data formats, these systems hinder reusability and expansion. OpenHPS addresses these challenges by providing a modular, graph-based framework for creating versatile positioning systems on multiple platforms. It
supports a wide range of algorithms and enables extensibility through custom nodes for sensor fusion and algorithm integration.

Original language	English
Article number	110
Number of pages	4
Journal	Journal of Open Source Software
Volume	10
Issue number	110
DOIs	https://doi.org/10.21105/joss.08113
Publication status	Published - 5 Jun 2025

Keywords

hybrid positioning systems
interoperable positioning systems
indoor positioning
stream processing
linked data
RDF
FAIR

Access to Document

10.21105/joss.08113Licence: CC BY

vanDeWynckel_JOSS2025Final published version, 934 KBLicence: CC BY

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Persistent link

1 Software

OpenHPS Framework [@openhps/core]
Van de Wynckel, M. & Signer, B., 5 Aug 2021
Research output: Non-textual form › Software

Open Access

OpenHPS: Single Floor Fingerprinting and Trajectory Dataset
Van de Wynckel, M. (Creator) & Signer, B. (Supervisor), Zenodo, 9 May 2021
DOI: 10.5281/zenodo.4744379
Dataset
Sphero Dead Reckoning and CV Tracking Dataset
Van de Wynckel, M. (Creator) & Signer, B. (Supervisor), Kaggle, 28 Feb 2025
DOI: 10.34740/kaggle/ds/6760212, https://www.kaggle.com/datasets/maximvandewynckel/sphero-dead-reckoning-and-cv-tracking-dataset/
Dataset
Garage Positioning Dataset
Van de Wynckel, M. (Creator), Kaggle, 12 Feb 2025
DOI: 10.34740/KAGGLE/DS/6654647, https://www.kaggle.com/datasets/maximvandewynckel/garage-positioning-dataset
Dataset

Cite this

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title = "OpenHPS: A Modular Framework to Facilitate the Development of FAIR Positioning Systems",

abstract = "Positioning systems determine the location of people and objects using various technologies and algorithms. While GPS dominates outdoor positioning, indoor and smaller-scale systems often require alternative technologies for lower latency, higher accuracy, or greater efficiency. Often developed as single-use prototypes lacking standard data formats, these systems hinder reusability and expansion. OpenHPS addresses these challenges by providing a modular, graph-based framework for creating versatile positioning systems on multiple platforms. Itsupports a wide range of algorithms and enables extensibility through custom nodes for sensor fusion and algorithm integration.",

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author = "{Van de Wynckel}, Maxim and Beat Signer",

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AB - Positioning systems determine the location of people and objects using various technologies and algorithms. While GPS dominates outdoor positioning, indoor and smaller-scale systems often require alternative technologies for lower latency, higher accuracy, or greater efficiency. Often developed as single-use prototypes lacking standard data formats, these systems hinder reusability and expansion. OpenHPS addresses these challenges by providing a modular, graph-based framework for creating versatile positioning systems on multiple platforms. Itsupports a wide range of algorithms and enables extensibility through custom nodes for sensor fusion and algorithm integration.

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KW - interoperable positioning systems

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KW - stream processing

KW - linked data

KW - RDF

KW - FAIR

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OpenHPS: A Modular Framework to Facilitate the Development of FAIR Positioning Systems

Abstract

Keywords

Access to Document

Handle.net

Fingerprint

Research output

OpenHPS Framework [@openhps/core]

Datasets

OpenHPS: Single Floor Fingerprinting and Trajectory Dataset

Sphero Dead Reckoning and CV Tracking Dataset

Garage Positioning Dataset

Cite this