Grigorios G. Anagnostopoulos

Grigorios G. Anagnostopoulos
University of Applied Sciences and Arts Western Switzerland · Business Informatics

PhD

About

21
Publications
6,105
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129
Citations
Additional affiliations
March 2014 - November 2017
University of Geneva
Position
  • Research Assistant

Publications

Publications (21)
Article
Full-text available
Despite the great attention that the research community has paid to the creation of novel indoor positioning methods, a rather limited volume of works has focused on the confidence that Indoor Positioning Systems (IPS) assign to the position estimates that they produce. The concept of estimating, dynamically, the accuracy of the position estimates...
Conference Paper
Full-text available
The movement advocating for a more transparent and reproducible science has placed the issue of research reproducibility at the center of attention of various stakeholders related to academic research. Universities, funding institutions and publishers have started changing long established policies with the goal to encourage and support best practi...
Preprint
Full-text available
The proliferation of data-demanding machine learning methods has brought to light the necessity for methodologies which can enlarge the size of training datasets, with simple, rule-based methods. In-line with this concept, the fingerprint augmentation scheme proposed in this work aims to augment fingerprint datasets which are used to train position...
Preprint
Full-text available
The primary expectation from positioning systems is for them to provide the users with reliable estimates of their position. An additional information that can greatly help the users utilize the position estimate is the level of uncertainty that a positioning system assigns to the position estimate it produced. The concept of dynamically estimating...
Preprint
Full-text available
The use of fingerprinting localization techniques in outdoor IoT settings has started to gain popularity over the recent years. Communication signals of Low Power Wide Area Networks (LPWAN), such as LoRaWAN, are used to estimate the location of low power mobile devices. In this study, a publicly available dataset of LoRaWAN RSSI measurements is uti...
Preprint
Full-text available
Fingerprinting techniques, which are a common method for indoor localization, have been recently applied with success into outdoor settings. Particularly, the communication signals of Low Power Wide Area Networks (LPWAN) such as Sigfox, have been used for localization. In this rather recent field of study, not many publicly available datasets, whic...
Conference Paper
Full-text available
How can the collected data from testing an indoor positioning deployment be transformed into information concerning the optimal tuning of a positioning system in this de-ployment? How can such kind of accumulated information from several deployments be transformed into more generic knowledge regarding the system's performance, with respect to sever...
Conference Paper
Full-text available
Navigating in large hospitals is a challenging task. The consequences of difficulties faced by staff, patients and visitors in finding their way in the hospital can be multiple. The HUGApp project goals are to identify the navigational needs and requirements of people within the premises of Geneva University Hospitals (HUG) before proceeding with p...
Conference Paper
Full-text available
Ultrasonic motion sensors are used to obtain occupancy information of indoor spaces. Although they provide a high accuracy as compared to other sensors, like Passive InfraRed (PIR), they require a higher power consumption in general. In this paper we propose power hopping, an automatic power optimization method that allows ultrasound motion sensors...
Thesis
Full-text available
The goal of this Thesis is to propose novel methodologies to address crucial issues of indoor positioning systems (IPS). The problems addressed in this work are met throughout the whole life cycle of an IPS conception, realisation and operation, from designing innovative positioning methodologies to defining evaluation and tuning methodologies. The...
Conference Paper
Full-text available
How do we evaluate the performance of an indoor positioning system? In addition, in which way can the system be optimally tuned for a certain environment? These are the questions addressed in this study. We propose a practical, cost efficient methodology for evaluating and tuning indoor positioning systems. The methodology has two main phases. In t...
Conference Paper
Full-text available
Evaluating positioning systems has become a matter of heated debate during the last years. There is no clear standard on how these technologies should be evaluated, and no predominant solution for defining the ground truth in order to compare the position estimates. In this paper, we propose a simple and inexpensive solution for tackling both of th...
Conference Paper
Full-text available
A common problem for indoor positioning methods is the fact that the differences in the reception characteristics among devices may significantly deteriorate the performance of a positioning system. Ranging algorithms for positioning rely on the accuracy of the parameters of the propagation model. This model is used to infer an estimate of the dist...
Conference Paper
Full-text available
Which technology should be used in order to be able to locate oneself in any kind of scenario? This has been a recurrent question in the last years. It has become evident that, until now, there is no dominant indoor positioning solution based on a single technology. Outdoors, positioning systems based on satellites have given excellent results. How...
Conference Paper
Full-text available
In which way may an application switch instantly and reliably between an indoor and an outdoor positioning provider as a user enters and exits buildings? In this work we present a robust switching algorithm, utilizing the dynamic accuracy estimation of each position provider as a reliability indication. Our algorithm offers a fast automatic switch...
Conference Paper
Full-text available
Indoor localization is a topic that has drawn great attention over the last decade. One of the main goals of the research in the field is to improve the achieved accuracy. Along with the accuracy, factors like the easiness of deployment and reconfiguration, the cost, the computational complexity, and the ability to tune the desired accuracy in spec...
Conference Paper
Full-text available
In this paper, we consider network games with incomplete information. In particular, we apply a game-theoretic network model to analyze Bayesian games on a MaxMin router. The results show that the MaxMin mechanism induces desirable Nash equilibria.

Projects

Projects (3)
Project
The ambition of the Eratosthenes project is to integrate the recent advancements of the field of generative modelling within the application domains of indoor and outdoor positioning. More specifically, the aim is to mitigate the barrier of the data collection requirement of fingerprinting localization methods through generative modelling. http://dmml.ch/eratosthenes/
Project
The goal of the OrbiLoc project is to improve the localization accuracy achieved by IoT devices utilising the LoRaWAN technology.
Archived project
Formalise evaluation and tuning methodologies for indoor positioning systems.