Tobias Feigl

Tobias Feigl
Fraunhofer Institute for Integrated Circuits IIS | IIS · Department of Locating and Communication Systems

PhD

About

33
Publications
13,446
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207
Citations
Introduction
Tobias Feigl received his Ph.D. degree in Computer Science from the Friedrich-Alexander-University Erlangen-Nuremberg (FAU) in 2021 and his Masters degree from the University of Applied Sciences Erlangen-Nuremberg, Germany, in 2017. He joined the Machine Learning & Information Fusion lab at the Fraunhofer Institute for Integrated Circuits (IIS) Nuremberg, Germany, in 2017. He switched to the Hybrid Positioning & Information Fusion lab at the IIS Nuremberg, Germany, in 2020. In parallel, since

Publications

Publications (33)
Article
Full-text available
Pedestrian Dead Reckoning (PDR) uses inertial measurement units (IMUs) and combines velocity and orientation estimates to determine a position. The estimation of the velocity is still challenging, as the integration of noisy acceleration and angular speed signals over a long period of time causes large drifts. Classic approaches to estimate the vel...
Conference Paper
Full-text available
Interference signals cause position errors and outages to global navigation satellite system (GNSS) receivers. However, to solve these problems, the interference needs to be detected, classified, its purpose determined, and localized, such that it can be eliminated. Several interference monitoring solutions exist, but these are expensive, resulting...
Preprint
Full-text available
Recent localization frameworks exploit spatial information of complex channel measurements (CMs) to estimate accurate positions even in multipath propagation scenarios. State-of-the art CM fingerprinting(FP)-based methods employ convolutional neural networks (CNN) to extract the spatial information. However, they need spatially dense data sets (ass...
Conference Paper
Full-text available
Ultra-wideband (UWB) systems based on Channel State Information (CSI) estimate the position of mobile nodes within an environment by using Channel Impulse Responses (CIRs) of multiple stationary nodes. These contain spatial information caused by environment interactions such as reflections and scattering. To estimate positions from CSI of stationar...
Conference Paper
Full-text available
Digital Contact Tracing (CT) protocols based on Bluetooth are best implemented at the system level to save resources and preserve security aspects. Combined with a government-monitored software platform, these CT-protocols can then be used to support controlling pandemics such as COVID-19. However, it is unclear how these protocols have to be param...
Conference Paper
Full-text available
Many radio-based positioning systems use time-of-arrival (ToA). We obtain it from the first and direct path of arrival (FDPoA) in a corresponding set of multipath components (MPC) of the underlying channel state information (CSI). While detection of the FDPoA under Line-of-Sight (LoS) is simple, it is prone to errors in environments with specular a...
Article
Full-text available
Radio frequency (RF)-based localization yields centimeter-accurate positions under mild propagation conditions. However, propagation conditions predominant in indoor environments (e.g. industrial production) are often challenging as signal blockage, diffraction and dense multipath lead to errors in the time of flight (TOF) estimation and hence to a...
Thesis
Full-text available
Standortbezogene Unterhaltung ist mittlerweile zu einem Grundbedürfnis geworden. Die erforderliche Genauigkeit und Zuverlässigkeit von Lokalisierungssystemen wächst nicht nur für intelligente Systeme wie selbstfahrende Fahrzeuge, Lieferdrohnen und mobile Geräte, sondern auch für alltägliche Fußgänger. Aufgrund der allgegenwärtigen Sensoren wie Kame...
Conference Paper
Full-text available
Embodying users through avatars based on motion tracking and reconstruction is an ongoing challenge for VR application developers. High quality VR systems use full-body tracking or inverse kinemat-ics to reconstruct the motion of the lower extremities and control the avatar animation. Mobile systems are limited to the motion sensing of head-mounted...
Conference Paper
Full-text available
The ongoing automation of modern production processes requires novel human-computer interaction concepts that support employees in dealing with the unstoppable increase in time pressure, cognitive load, and the required fine-grained and process-specific knowledge. Augmented Reality (AR) systems support employees by guiding and teaching work process...
Conference Paper
Full-text available
Visual Odometry (VO) accumulates a positional drift in long-term robot navigation tasks. Although Convolutional Neural Networks (CNNs) improve VO in various aspects, VO still suffers from moving obstacles, discontinuous observation of features, and poor textures or visual information. While recent approaches estimate a 6DoF pose either directly fro...
Preprint
Full-text available
Visual Odometry (VO) accumulates a positional drift in long-term robot navigation tasks. Although Convolutional Neural Networks (CNNs) improve VO in various aspects, VO still suffers from moving obstacles, discontinuous observation of features, and poor textures or visual information. While recent approaches estimate a 6DoF pose either directly fro...
Article
Full-text available
Radio signal-based positioning in environments with complex propagation paths is a challenging task for classical positioning methods. For example, in a typical industrial environment, objects such as machines and workpieces cause reflections, diffractions, and absorptions, which are not taken into account by classical lateration methods and may le...
Patent
Full-text available
The present disclosure relates to methods and apparatuses for improving positioning of a device in a wireless communications network. In some embodiments, a method performed by a measuring device (201, 1300) configured to communicate with a positioning device (205, 1500), comprises: determining (1201) a cross-correlation between a received signal a...
Conference Paper
Full-text available
In this demonstration we present a prototype for an avatar-mediated social interaction interface that supports the replication of head- and eye movement in distributed virtual environments. In addition to the retargeting of these natural behaviors, the system is capable of augmenting the interaction based on the visual presentation of affective sta...
Conference Paper
Full-text available
This paper presents a framework to develop and investigate location-based Virtual Reality (VR) applications. We demonstrate our framework by introducing a novel type of VR museum, designed to support a large number of simultaneous co-located users. These visitors are walking in a hangar-scale tracking zone (600 m2), while sharing a ten times bigger...
Article
Full-text available
We explore motion parameters, more specifically gait parameters, as an objective indicator to assess simulator sickness in Virtual Reality (VR). We discuss the potential relationships between simulator sickness, immersion, and presence. We used two different camera pose (position and orientation) estimation methods for the evaluation of motion task...
Patent
Full-text available
The invention relates to a system for determination the position of a mobile user device (10). The system comprises a state determination device (120), comprising a transmitting unit (122) and a state determination unit (124), and the mobile user device (110), comprising a receiving unit (112) and a processor unit (114). The mobile user device (110...
Conference Paper
Full-text available
This paper presents a novel approach for the augmentation of social behaviors in virtual reality (VR). We designed three visual transformations for behavioral phenomena crucial to everyday social interactions: eye contact, joint attention, and grouping. To evaluate the approach, we let users interact socially in a virtual museum using a large-scale...
Patent
Full-text available
A method for predicting a motion of an object is provided. The method includes determining a position of the object based on first time-series data of a position sensor mounted to the object and determining an orientation of the object based on second time-series data of at least one inertial sensor mounted to the object. Further, the method includ...
Patent
Full-text available
A method (100) to determine a present position (122) of an object (600). The method (100) comprises using (102) an optical positioning system (104) to determine a first preliminary position (112) and using (106) a radio-based positioning system (108) to determine a second preliminary position (114), determining (110) a supposed position (116) on th...
Conference Paper
Full-text available
Redirected Walking (RDW) manipulates a scene that is displayed to VR users so that they unknowingly compensate for scene motion and can thus explore a large virtual world on a limited space. So far, mostly visual manipulation techniques have been studied. This paper shows that users can also be manipulated by means of acoustical signals. In an expe...
Patent
Full-text available
The present disclosure relates to a concept for correcting alignment information based on inertial sensor data from one or more inertial sensors attached to an object. The proposed concept includes receiving position data indicative of a current absolute position of the object, determining a direction of movement of the object based on the position...
Patent
Full-text available
Proposed is a method for setting a viewing direction in a representation of a virtual environment. The method includes recording a known object in a real environment with a recording device. The method further includes a determination of a rotational offset of the viewing direction in the representation of the virtual environment about a yaw axis o...

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Projects (5)
Project
Zur Vernetzung von Forschung und Wirtschaft hat das Fraunhofer-Institut für Integrierte Schaltungen IIS in Kooperation mit der Friedrich-Alexander-Universität Erlangen-Nürnberg und der Ludwig-Maximilians-Universität München unter weiterer Beteiligung der Fraunhofer-Institute IKS und IISB eine einzigartige Forschungsinfrastruktur in Bayern geschaffen: das ADA Lovelace Center for Analytics, Data and Applications. Es verbindet als Kooperationsplattform für Wissenschaft und Wirtschaft auf innovative Art KI-Forschung mit KI-Anwendungen. Das Besondere am ADA Lovelace Center ist tatsächlich die enge Verbindung aus Forschung und industrieller Anwendung: Mit der Art und Weise, wie wir unsere Kompetenzen, Methoden und Verfahren aus dem Bereich der Künstlichen Intelligenz in den Fragestellungen der Praxis einsetzen und an ihnen weiterentwickeln, wie wir an Projekte herangehen und wie wir mit unseren Partnern aus Industrie und Wissenschaft zusammenarbeiten, wollen wir den Zugang der Unternehmen zu umfassender KI-Expertise erleichtern und so schnell konkreten Nutzen für sie herstellen; und zwar über die Grenze des derzeit Machbaren hinaus. So wollen wir Unternehmen vom enormen Potenzial von KI überzeugen und KI in die industrielle Anwendung bringen: Das ADA Lovelace Center versteht sich als Multiplikator, um KI-Kompetenz in einem Unternehmen aufzubauen oder die vorhandene KI-Kompetenz zu stärken bzw. weiterzuentwickeln. Das wissenschaftliche Methodenspektrum, das wir im ADA Lovelace Center dafür einsetzen, ist sehr breit und die Auswahl der richtigen Methode abhängig vom Anwendungsfall. Immer aber geht es bei uns um Datenanalyse: von der klassischen Zustandsbeschreibung über Vorhersagen von Ereignissen bis hin zu entscheidungsbasierten Methoden, die z.B. automatisiert eine bestimmte Handlung auslösen sollen. Dazu binden wir übrigens neben den genannten regionalen Playern auch viele andere nationale und internationale Wissenschaftspartner ein. An folgenden Kompetenzsäulen wird geforscht: • Automatisches Lernen • Sequenzbasiertes Lernen • Erfahrungsbasiertes Lernen • Few Labels Learning • Erklärbares Lernen • Mathematische Optimierung • Semantik • Few Data Learning Eine Beschreibung zu den oben genannten Kompetenzsäulen kann unter diesem Link https://www.scs.fraunhofer.de/de/referenzen/ada-center.html#381039553 gefunden werden.
Archived project
Das Anwendungslab Fitness@ESI fokussiert sich auf die industrienahe Forschung im Bereich eingebetteter Systeme für Sport- und Fitnessanwendungen. Global agierende Industriepartner im Bereich Sportwirtschaft arbeiten hier an der Etablierung innovativer Produkte und Dienstleistungen, wie beispielsweise personalisierter Fitnessprodukte zur Selbstkontrolle und -überwachung der eigenen Gesundheit. Auch Innovationen im Bereich Ambient Assisted Living (AAL) und Mobile Health (mHealth) werden im breit aufgestellten Lab Fitness@ESI erarbeitet. Mit der Kombination der Expertisen der FAU und des Fraunhofer IIS werden zudem aktuelle Fragestellungen aus der Industrie angegangen. Diese beschäftigen sich u. a. mit Sensorintegration und Daten- und Positionsauswertung, um wichtige Events im Team und Freizeitsport zu analysieren und Informationen für Zuschauer und Medien liefern zu können. Das Anwendungslab beschäftigt sich außerdem mit drahtlosen, körpernahen Sensornetzwerken und der sensorischen Umgebungserfassung und -analyse. Weitere wichtige Forschungsbereiche des Labs sind Energy Harvesting (Energiegewinnung) für batterie- und kabellose Energieversorgung, drahtlose Energieübertragung, Indoor-Lokalisierung und das Design von neuartigen, miniaturisierten Sensorknoten auf Niedrigenergiebasis.