@article{KressJeskeZernetschetal.2023, author = {Kress, Viktor and Jeske, Fabian and Zernetsch, Stefan and Doll, Konrad and Sick, Bernhard}, title = {Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories}, series = {IEEE Transactions on Intelligent Vehicles}, volume = {8}, journal = {IEEE Transactions on Intelligent Vehicles}, number = {3}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, issn = {2379-8904}, doi = {10.1109/TIV.2022.3149624}, pages = {2592 -- 2603}, year = {2023}, subject = {Fahrerassistenzsystem}, language = {en} } @inproceedings{ZernetschTruppKressetal.2021, author = {Zernetsch, Stefan and Trupp, Oliver and Kress, Viktor and Doll, Konrad and Sick, Bernhard}, title = {Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information}, series = {2021 IEEE International Smart Cities Conference (ISC2)}, booktitle = {2021 IEEE International Smart Cities Conference (ISC2)}, publisher = {IEEE}, doi = {10.1109/ISC253183.2021.9562857}, pages = {1 -- 7}, year = {2021}, subject = {Autonomes Fahrzeug}, language = {en} } @inproceedings{JungHubertDolletal.2022, author = {Jung, Janis and Hubert, Andreas and Doll, Konrad and Kr{\"o}hn, Michael and Stadler, Jochen}, title = {Prozessinnovation}, series = {Wissenstransfer im Spannungsfeld von Autonomisierung und Fachkr{\"a}ftemangel, Tagungsband, 18. AALE-Konferenz, Pforzheim, 09.03.-11.03.2022}, booktitle = {Wissenstransfer im Spannungsfeld von Autonomisierung und Fachkr{\"a}ftemangel, Tagungsband, 18. AALE-Konferenz, Pforzheim, 09.03.-11.03.2022}, publisher = {Hochschule f{\"u}r Technik, Wirtschaft und Kultur Leipzig}, doi = {10.33968/2022.20}, year = {2022}, abstract = {Manuelle Montageprozesse sind nach wie vor unverzichtbar in vielen Bereichen der produzierenden Industrie. Vor allem die Qualit{\"a}tskontrolle, sowie das Einlernen neuer Mitarbeitenden stellen Betriebe durch die voranschreitende Digitalisierung vor neue Herausforderungen. Assistenzsysteme k{\"o}nnen hier helfen, die L{\"u}cke zwischen Anforderungen und Qualifikation zu {\"u}berbr{\"u}cken. Wir stellen einen Ansatz zur intelligenten Assistenz vor, welcher auf einer kamerabasierten Erkennung von Arbeitsabl{\"a}ufen mit Hilfe von Methoden des maschinellen Lernens beruht. Das Assistenzsystem erzeugt automatisiert Hilfsmaterial zur Unterst{\"u}tzung der Werkenden. Zus{\"a}tzlich zur Darstellung der technischen Aspekte, werden psychologische Aspekte, wie Akzeptanz und Motivation untersucht.}, subject = {Assistenzsystem}, language = {de} } @inproceedings{SerflingReichertBayerleinetal.2025, author = {Serfling, Benjamin and Reichert, Hannes and Bayerlein, Lorenzo and Doll, Konrad and Radkhah-Lens, Kati}, title = {LiDAR Based Semantic Perception for Forklifts in Outdoor Environments}, series = {2025 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)}, booktitle = {2025 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)}, publisher = {IEEE}, doi = {https://doi.org/10.1109/SOLI66289.2025.11396313}, pages = {40 -- 45}, year = {2025}, subject = {Gabelstapler}, language = {en} } @inproceedings{HubertGuoDolletal.2025, author = {Hubert, Andreas and Guo, Chenxi and Doll, Konrad and Sick, Bernhard}, title = {Improving Fast 6D Pose Estimation with Adaptive Model Fusion}, series = {2025 5th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)}, booktitle = {2025 5th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)}, publisher = {IEEE}, doi = {https://doi.org/10.1109/MLISE66443.2025.11100239}, pages = {58 -- 63}, year = {2025}, subject = {Maschinelles Lernen}, language = {en} } @incollection{HubertGuoDolletal.2025, author = {Hubert, Andreas and Guo, C. and Doll, Konrad and Kuhn, F. and Kr{\"o}hn, M.}, title = {Multimodales hochautomatisiert lernendes Assistenzsystem f{\"u}r manuelle Montageprozesse}, series = {Automation 2025}, booktitle = {Automation 2025}, publisher = {VDI Verlag}, isbn = {9783181024577}, doi = {https://doi.org/10.51202/9783181024577-575}, pages = {575 -- 590}, year = {2025}, subject = {Maschinelles Lernen}, language = {de} }