Dominik Schörkhuber
Projektass. Dipl.-Ing. / BSc
Role
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PreDoc Researcher
Computer Vision, E193-01
Projects
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UNIversal Single Camera-based 3D Sensing for COmprehensive Human PErception
2023 – 2026 / Austrian Research Promotion Agency (FFG) -
Simulation of vehicle interiors for the efficient development of driver/occupant monitoring systems
2021 – 2025 / Austrian Research Promotion Agency (FFG)
Publications: 177471 / 189545 / 188254 / 58791 -
Multimodal Sensor-Lighting System for the Protection of Vulnerable Traffic Participants
2020 – 2025 / Austrian Research Promotion Agency (FFG)
Publications: 165244 / 175979 / 177205 / 188289 / 188254 / 200892 / 58522 -
Combined 3D-Vision and Adaptive Front-Lighting System for Safe
Autonomous Driving
2017 – 2024 / Austrian Research Promotion Agency (FFG)
Publications: 137363 / 55545 / 57799 / 57936 / 58176 / 58522 / 86881 / 86894 / 86934 / 86935 / 86941 -
Intelligent Assistant System for Video Production on Mobile Devices
2016 – 2023 / Vienna Business Agency (WAW)
Publication: 57283
Publications
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Transfer learning for driver pose estimation from synthetic data
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Sagmeister, D., Schörkhuber, D., Nezveda, M., Stiedl, F., Schimkowitsch, M., & Gelautz, M. (2023). Transfer learning for driver pose estimation from synthetic data. In 2023 IEEE Intelligent Vehicles Symposium (IV) Proceedings. 2023 IEEE Intelligent Vehicles Symposium (IV), Anchorage, AK, United States of America (the). IEEE. https://doi.org/10.34726/5182
Download: © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. (19.2 MB)
Project: SyntheticCabin (2021–2025) -
Computer Vision for Autonomous Driving and Robotics
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Gelautz, M., Schörkhuber, D., & Stoeva, D. (2023). Computer Vision for Autonomous Driving and Robotics [Presentation]. 30 Years ICG, Graz, Austria. http://hdl.handle.net/20.500.12708/188254
Projects: SmartProtect (2020–2025) / SyntheticCabin (2021–2025) -
Design of an automotive platform for computer vision research
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Schörkhuber, D., Popp, R., Chistov, O., Windbacher, F., Hödlmoser, M., & Gelautz, M. (2023). Design of an automotive platform for computer vision research. Journal of Electronic Imaging, 35(16), 119-1-119–6. https://doi.org/10.2352/EI.2023.35.16.AVM-119
Project: SmartProtect (2020–2025) -
Feature Selection and Multi-task Learning for Pedestrian Crossing Prediction
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Schörkhuber, D., Pröll, M., & Gelautz, M. (2022). Feature Selection and Multi-task Learning for Pedestrian Crossing Prediction. In 2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) (pp. 439–444). IEEE. https://doi.org/10.1109/SITIS57111.2022.00073
Project: SmartProtect (2020–2025) -
Bounding Box Propagation for Semi-automatic Video Annotation of Nighttime Driving Scenes
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Schörkhuber, D., Groh, F., & Gelautz, M. (2021). Bounding Box Propagation for Semi-automatic Video Annotation of Nighttime Driving Scenes. In University of Zagreb (Ed.), 2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA). University of Zagreb. https://doi.org/10.1109/ispa52656.2021.9552141
Projects: CarVisionLight (2017–2024) / SmartProtect (2020–2025) -
Adaptive Light Function Controlled in the Control Loop with Cameras
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Hartmann, P., Artmann, M., Nezveda, M., Gelautz, M., Moreno, A., Fallmann, D., Lahmer, M., Popp, R., Groh, F., Schörkhuber, D., Frantar, E., Seitner, F., & Fischer, R. (2021). Adaptive Light Function Controlled in the Control Loop with Cameras. ATZ Worldwide, 123(2), 24–29. https://doi.org/10.1007/s38311-020-0610-5
Project: CarVisionLight (2017–2024) -
A tool for semi-automatic ground truth annotation of traffic videos
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Groh, F., Schörkhuber, D., & Gelautz, M. (2020). A tool for semi-automatic ground truth annotation of traffic videos. In Electronic Imaging (pp. 200–207). https://doi.org/10.2352/issn.2470-1173.2020.16.avm-200
Project: CarVisionLight (2017–2024) -
Body Language in Human‐Robot Interaction
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Gelautz, M., Stoeva, D., & Schörkhuber, D. (2019). Body Language in Human‐Robot Interaction. Doctoral College TrustRobots: Lecture Series, Wien, Austria. http://hdl.handle.net/20.500.12708/86881
Project: CarVisionLight (2017–2024) -
Techniques for improving mobile video creation
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Schörkhuber, D. (2018). Techniques for improving mobile video creation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.55540
Download: PDF (19.3 MB) -
Intelligent Film Assistant for Personalized Video Creation on Mobile Devices
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Schörkhuber, D., Seitner, F., Salzbrunn, B., Gelautz, M., & Braun, G. (2017). Intelligent Film Assistant for Personalized Video Creation on Mobile Devices. In Proceedings of the 15th International Conference on Advances in Mobile Computing & Multimedia - MoMM2017. The 15th International Conference on Advances in Mobile Computing & Multimedia (MoMM2017), Salzburg, Austria. ACM International Conference Proceedings Series. https://doi.org/10.1145/3151848.3151881
Project: PersonalFilmAssistant (2016–2023)
Supervisions
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Pedestrian crossing prediction in the context of autonomous driving
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Pröll, M. R. (2022). Pedestrian crossing prediction in the context of autonomous driving [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.93700
Download: PDF (3.5 MB)