Contributions
Obstacle Detection Pipeline using Monocular Depth Estimation in Mobile Robotics
Christian Schweighofer and Michael Zauner
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 108-113
AI-Based Optimization of Roadside Mowing Operations in Austria
Roland Perko, Stefanie Onsori-Wechtitsch, Helmut Neuschmied, Peter Schallauer, Katharina Hofer-Schmitz and Michaela Stolz
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 114-118
Synthetic Skeletal Pose Pre-training to Mitigate Data Scarcity in In-Cabin 2D-to-3D Pose Lifting
Thummanoon Kunanuntakij, Dominik Schörkhuber and Margrit Gelautz
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 119-124
Organ Level Representation Learning for Region Based Medical Image Retrieval
Donghwan Lee and Wooju Kim
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 125-134
Diffusion Edge Detection Of Texture-less Objects
Matvey Ivanov, Markus Vincze and Peter Hönig
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 135-144
Intelligent Augmentation Methods for Training Defect Detection on Circuit Boards
Olaf Kaehler, Werner Bailer and Georg Thallinger
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 145-153
Assessing Compressive Strength of Reclaimed Clay Bricks Using SWIR Hyperspectral Imaging and Deep Learning
Jean-Philippe Andreu, Maria Jernej, Maximilian Klammer and Benjamin Kromoser
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 154-158
GraspGen+HSR: Adapting Simulation-Trained 6-DoF Grasping to Real Service Robots Without Retraining
Alexander Dvorak, Michael Nowak, Tessa Pulli and Markus Vincze
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 159-168
Fourier contrast optimization for occluded motion estimation
Ido Akov, Roman Pflugfelder and Daniel Cremers
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 189-193