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 ( reposiTUm)

Fischer, R., Hödlmoser, M., & Gelautz, M. (2024). Evaluation of Flexible Structured Light Calibration Using Circles. In A. A. de Sousa, T. Bashford-Rogers, A. Paljic, M. Ziat, C. Hurter, H. Purchase, P. Radeva, G. M. FARINELLA, & K. Bouatouch (Eds.), Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 271–294). Springer Cham. https://doi.org/10.1007/978-3-031-66743-5_13 ( reposiTUm)

Fischer, R., Hödlmoser, M., & Gelautz, M. (2023). Flexible Extrinsic Structured Light Calibration Using Circles. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 47–55). https://doi.org/10.5220/0011614500003417 ( reposiTUm)

Windbacher, F., Hödlmoser, M., & Gelautz, M. (2023). Single-Stage 3D Pose Estimation of Vulnerable Road Users Using Pseudo-Labels. In R. Gade, M. Felsberg, & J.-K. Kämäräinen (Eds.), Image Analysis. 22nd Scandinavian Conference, SCIA 2023, Sirkka, Finland, April 18–21, 2023, Proceedings, Part II (pp. 401–417). Springer. https://doi.org/10.1007/978-3-031-31438-4_27 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)

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 ( reposiTUm)