Austrian Symposium on AI, Robotics, and Vision (AIRoV)
Proceedings – March 26–27, 2024 (University of Innsbruck)
Bernhard Nessler, Justus Piater, Peter M. Roth (Eds.)
ISBN 978-3-99106-150-2
brosch., 476 Seiten, zahlr. Farbabb., Tabellen, engl.
2025, innsbruck university press • iup
Open Access-Publikation
AIRoV 2024 war die erste gemeinsame Fachtagung der Österreichischen Gesellschaft für Künstliche Intelligenz (ASAI), der Österreichischen Gesellschaft für Mess-, Automatisierungs- und Robotertechnik (GMAR) und der Österreichischen Arbeitsgemeinschaft für Mustererkennung (OAGM). Nach einer langen Tradition einzelner und gemeinsamer OAGM- und ARW/GMAR-Workshops war dies das erste gemeinsame Symposium unserer drei eng miteinander verbundenen Vereine. Unser Ziel war es, unsere sich überschneidenden Gemeinschaften zusammenzubringen, den Austausch zu fördern, Synergien zu entwickeln, gemeinsame Visionen und Ambitionen zu entwickeln, die Sichtbarkeit unserer Aktivitäten zu erhöhen und ein Forum für die nächste Generation von Forschern zu bieten.
AIRoV 2024 was the first joint symposium of the Austrian Society for Artificial Intelligence (ASAI), the Austrian Society of Measurement, Automation and Robot Technologies (GMAR), and the Austrian Association for Pattern Recognition (OAGM). Following a long tradition of individual and joint OAGM and ARW/GMAR workshops, this was the first joint symposium of our three closely-related associations. Our objective was to bring together our overlapping communities, foster exchange, develop synergies, develop common visions and ambitions, enhance the visibility of our activities, and provide a forum for the next generation of researchers.
DOI: 10.15203/99106-150-2
AI-CERT: AI Certification, Fairness and Regulations
Editorial: Workshop on AI Certification, Fairness and Regulations: Bernhard Nessler, Rania Wazir, Gregor Aichinger, and Robert Ginthör
AuditMAI: Towards AI Auditability Infrastructure for Continuous Auditing: Laura Waltersdorfer, Fajar J. Ekaputra, Tomasz Miksa, and Marta Sabou
Application domain definition for functional trustworthiness certification of AI: Simon Schmid, Alexander Aufreiter, and Bernhard Nessler
In Scope? – The Definition of ‘AI System’ in the AI Act: Alexander Aufreiter, Gregor Aichinger, and Bernhard Nessler
Causal Semi-Supervised Learning with Factorized Priors: Bernhard C. Geiger and Roman Kern
CD-MHS: Challenges of Digitalization within Modern Health Systems
Editoral: Workshop on Challenges of Digitalization within Modern Health Systems: Mark A.M. Kramer, Anna Pontel, and Peter M. Roth
Multimodal Medical Disease Classification with LLaMA II: Christian Gapp, Martin Welk, Rainer Schubert, and Elias Tappeiner
Advancing Healthcare Through Open Science: StudierFenster and MedShapeNet: Christina Schwarz-Gsaxner, Gijs Luijten, Jianning Li, Jens Kleesiek, Behrus Puladi, and Jan Egger
Advancing emergency logistics management through technological innovation: the role of the EmergencyEye Technology: Guenter Huhle and Viktor Huhle
VetSOS: Effektivly Handling Veterinary Emergengies: Peter M. Roth, Martina Jezik, Gudrun Kinz, Sylwia Koy, and Oleksandr Pietukhov
The health control center – Notruf Niederösterreich: Christian Laucher
Navigating the future of healthcare and public safety: Introducing DISPOFLEX a cloudready control room solution: Tesselina Späth
KG-NESY: Knowledge Graphs and Neurosymbolic AI
Editoral: The Knowledge Graphs and Neurosymbolic AI Workshop: Shqiponja Ahmetaj, Fajar J. Ekaputra, Andreas Ekelhart, and Sebastian Neumaier
Keynote Talk: The different “Shapes” of RDF(S) and OWL: A Fragmented History: Axel Polleres
Keynote Talk: A hybrid approach to Disinformation Detection: Alexander Schindler
Extending Content-based Scientific Knowledge Graphs with Research Results: Filip Kovacevic, Alaa El-Ebshihy, Florina Piroi, and Andreas Rauber
LLMs Meet Knowledge Graphs For A More Transparent Conversational AI: Wien Energie Chatbot: Umutcan Serles and Ioan Toma
Prompt-Time Symbolic Knowledge Capture with Large Language Models: Tolga Cöplü, Arto Bendiken, Andrii Skomorokhov, Eduard Bateiko, Stephen Cobb, and Joshua J. Bouw
Leveraging Knowledge Graphs for Enhancing Machine Learning-based Heart Disease Prediction: Majlinda Llugiqi, Fajar J. Ekaputra, and Marta Sabou
Supplementary Objectives: Analysing The Motivations Behind Semantic Web Machine Learning System Design: Artem Revenko
A Species Conservation Recommender System based on Knowledge Graph for Brown Bear Movement Prediction: Albin Ahmeti, Robert David, and Artem Revenko
Expressive and Geometrically Interpretable Knowledge Graph Embedding (Extended Abstract): Aleksandar Pavlovic and Emanuel Sallinger
Knowledge Graphs and their Applications in Civil Security: Simon Ott, Daria Liakhovets, Mina Schütz, Medina Andresel, Mihai Bartha, Sven Schlarb, and Alexander Schindler
SymbolicAI: A framework for logic-based approaches combining generative models and solvers: Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, markus Holzleitner, Werner Zellinger, and Sepp Hochreiter
Leveraging Neurosymbolic AI for Slice Discovery: Michele Collevati, Thomas Eiter, and Nelson Higuerá
MIDiP: Workshop on Artificial Intelligence in Medical Imaging: Diagnostic and Prognostic Perspectives
Editoral: Workshop on Artificial Intelligence in Medical Imaging: Diagnostic and Prognostic Perspectives: Christof A. Bertram and Frauke Wilm
AV: Applied Vision
Editorial: Workshop on Applied Vision: Harald Ganster, Florian Kleber, Roland Perko, Gernot Stübl, and Martina Uray
Supporting Image-Based Wildlife Classification: Sead Mustafic, Dominik Dachs, Rainer Prüller, Florian Schöggl, and Roland Perko
Advanced Despeckling Based on Real SAR Intensity Images: Katharina Hofer-Schmitz, Sead Mustafic, Karlheinz Gutjahr, and Roland Perko
Camera-based High-Speed Rolling Mark Detection: Manuel Krammer
Parameter Identification for Pattern-Generating Reaction-Diffusion Systems – Towards Generative Texture Descriptors: Werner Ainhauser and Martin Welk
Transparency Techniques for Neural Networks trained on Writer Identification and Writer Verification: Viktoria Pundy, Marco Peer, and Florian Kleber
Solving Microorganism Enumeration through Weakly-Supervised Counting with Vision Transformers –
A comparative study: Javier Ureña Santiago and Antonio J. Rodriguez-Sanchez
Enhancing Historical Image Retrieval with Compositional Cues: Tingyu Lin and Robert Sablatnig
Robustness of One-Class Visual Anomaly Detection Methods: Florian Kromp, David Brunner, Johannes Zellinger, Alexander Valentinitsch, Ozan Cakiroglu, Clara Schachner, and Lukas Fischer
Simulating Human Perception: Crafting Datasets for Advanced Print Defect Detection on Packaging Foil: Lukas Brunner and Thomas Pönitz
Initial Results on Hyperspectral Characterization of Steel Scrap: Malte P. Jaschik, Harald Ganster, Maria Kainz, and Maria Jernej
Cobotic Induction System for Garment Picking: Fabio Pini
AIRAG: AI and Robotics in Agriculture
Editorial: AI and Robotics in Agriculture: Peter Riegler-Nurscher and markus Gansberger
Deriving A Priori Environment Information for Ground-based Exploration Using Aerial Observations: Aleksa Kostic, Matthias Schörghuber, and Marco Wallner
Anomaly detection in vineyard using AutoEncoders: Helmut Steinkellner
AgrifoodTEF - The Test and Experimentation Facilities for AI and Robotics in the Agri-food sector: Marie Wenzlaff
AI-Based LIDAR Data Analysis to Detect People and Other Objects: markus Hochrainer, Peter Schattovich, and Wolfgang Wöber
RGB-D image dataset to enable selective weed control: Florian Kitzler, Andreas Gronauer, and Viktoria Motsch
Learning soil properties in a linear dynamic system to improve site-specific fertilization: Andreas Ettlinger
Colorado Potato Beetle Dataset and Detection for Monitoring and Management in Potato Fields: Thomas Leopold and Axel Jantsch
Capturing high-resolution drone images for wheat classification: Gudrun Kinz, Peter M. Roth, and Hermann Bürstmayr
InterAC: Interdisciplinary Advances and Challenges of AI, Robotics and Vision
Editorial: Workshop on Interdisciplinary Advances and Challenges of AI, Robotics and Vision: Mohamed Aburaia, Wilfried Kubinger, Andreas Müller, and Samuele Tosatto
Encouraging Exercise in Dementia Patients: A Reproduction Study with Robot Pepper as Dance Therapist: Clara Haider and Astrid Weiss
Reinterpretation of the Non-Slippage Impact Direction for Elastic Contact Transitions: Annika Kirner and Christian Ott
Automated Electric Vehicle Charging System: A Robotic Approach for Seamless Plug Connection with Deep Neural Networks: Johannes Wenninger, Yannis Kowalewski, and Martin Baresch
Towards Affordance-Based Explanations of Robot Motion Planning: Amar Halilovic and Senka Krivic
SCARAB - autonomous demand-oriented waste disposal with mobile robot: Daniel Reischl
LiDAR-IMU calibration on a ground vehicle: Clemens Mühlbacher, Lotta Lumiaro, and Hector Vileda
Intelligent Data Monitoring: A Combination of Rule-Based and Machine Learning Approach: Mara Vukadinovic and Michael Rathmair
Towards an Accepted Service Robot for Retail 4.0: Matthäus J. Horn and Hanna Trenkler
Adversarial Framework for Monitoring Unannotated Anomalies of Key Performance Indicators in Robot Applications: Mylena Nazare Ferreira-Weratschnig and Michael Rathmai
Workspace Registration and Collision Detection for Industrial Robotics Applications: Klaus Zauner, Josef El Dib, Hubert Gattringer, and Andreas Müller
A Combined Approach for Robot-based Disassembly and Testing of Electric Vehicle Battery Packs: Lorenzo Miarelli and Clara Fischer
Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation: Peter Hönig, Stefan Thalhammer, and markus Vincze
GP FastSLAM - Simultaneous Localization and Mapping using Gaussian Process Robot Kinematics: Roman Stadlhuber and Wilfried Wöber
Enhancing Transparent Object Pose Estimation: A Fusion of GDR-Net and Edge Detection: Tessa Pulli
Chance & Curiosity: How Does Action Noise Exploration Compare to Curiosity-Based Intrinsic Rewards?: Jakob Hollenstein, Sayantan Auddy, and Justus Piater
Unsupervised Learning of Effective Actions in Robotics: Marko Zaric, Jakob Hollenstein, Justus Piater, and Erwan Renaudo
New Forms of Human-Robot-Collaboration: Clara Fischer, Cecilia Scoccia, and Michael Rathmair
Artificial trust-based task allocation method in multi-human-robot teams: Zahra Safari Dehnavi and Sebastian Schlund
Optimizing Performance of Robots with Closed Control Architecture: Deep Learning- Enhanced Model-Based Control: Marcel G. Lahoud, Andreas Müller, Gabriele Marchello, Mariapaola D’Imperio, and Ferdinando Cannella
SNNSys: Workshop on Spiking Neural Networks Systems
Editorial: Workshop on Spiking Neural Networks: Bernhard A. Moser, Michael Lunglmayr, and Robert Legenstein
On Leaky-Integrate-and Fire as Spike-Train-Quantization Operator on Dirac-Superimposed Continuous-Time Signals: Bernhard A. Moser and Michael Lunglmayr
Concept for Dense Network of Single-Chip Radar Sensors for Anonymous Human Detection and Tracking using Neuromorphic Computing: Alexander Weissmann, Mylena Nazare Ferreira-Weratschnig, Bernhard Reiterer, and Clara Fischer
Spike-based QRS complex detection in ECG signals: Bernhard A. Moser, Michael Lunglmayr, Daniel Windhager, Carl Böck, Maximilian Baronig, and Robert Legenstein
Understanding the Convergence in Balanced Resonate-and-Fire Neurons: Saya Higuchi, Sander Bohte, and Sebastian Otte
Weight transport through spike timing for robust local gradients: Timo Gierlich, Andreas Baumbach, Akos Kungl, Kevin Max, and Mihai A. Petrovici
Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injection: Sebastian Otte