@article{honig2025star,title={Shape-biased Texture Agnostic Representations for Improved Textureless and Metallic Object Detection and 6D Pose Estimation},author={H{\"o}nig, Peter and Thalhammer, Stefan and Weibel, Jean-Baptiste and Hirschmanner, Matthias and Vincze, Markus},journal={accepted at IEEE/CVF Winter Conference on Applications of Computer Vision},year={2025},}
2024
Challenges for Monocular 6D Object Pose Estimation in Robotics
Stefan Thalhammer , Dominik Bauer , Peter Hönig , and 3 more authors
@article{honig2024challenges,author={Thalhammer, Stefan and Bauer, Dominik and Hönig, Peter and Weibel, Jean-Baptiste and García-Rodríguez, José and Vincze, Markus},journal={IEEE Transactions on Robotics},title={Challenges for Monocular 6D Object Pose Estimation in Robotics},year={2024},volume={},number={},pages={1-20},keywords={Robots;Pose estimation;Training;Standards;Sensors;Surveys;Reviews;6D object pose estimation;perception for manipulation;scene understanding;monocular;open challenges},doi={10.1109/TRO.2024.3433870},}
Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation
Peter Hönig , Stefan Thalhammer , and Markus Vincze
best Paper Award at the AIRoV – The First Austrian Symposium on AI, Robotics, and Vision, 2024
@article{honig2024improving,title={Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation},author={H{\"o}nig, Peter and Thalhammer, Stefan and Vincze, Markus},journal={best Paper Award at the AIRoV – The First Austrian Symposium on AI, Robotics, and Vision},year={2024},}
2023
Explainable Object Detection in the Field of Search and Rescue Robotics
Peter Hönig , and Wilfried Wöber
In International Conference on Robotics in Alpe-Adria Danube Region , 2023
@inproceedings{honig2023explainable,title={Explainable Object Detection in the Field of Search and Rescue Robotics},author={H{\"o}nig, Peter and W{\"o}ber, Wilfried},booktitle={International Conference on Robotics in Alpe-Adria Danube Region},pages={37--44},year={2023},organization={Springer Nature Switzerland Cham},}
2022
Comparing Supervised and Unsupervised Machine Learning Methods for Traffic Sign Classification
Peter Hönig , Lucas Muster , Mohamed Aburaia , and 1 more author
In Proceedings of the Austrian Robotics Workshop 2022 , 2022
@inproceedings{honig2022comparing,title={Comparing Supervised and Unsupervised Machine Learning Methods for Traffic Sign Classification},author={H{\"o}nig, Peter and Muster, Lucas and Aburaia, Mohamed and W{\"o}ber, Wilfried},booktitle={Proceedings of the Austrian Robotics Workshop 2022},pages={27--28},year={2022},}