Fraunhofer-Institut für Materialfluss und Logistik IMLBerufserfahrung
2018 – heute: Wissenschaftlicher Mitarbeiter, Fraunhofer-Institut für Materialfluss und Logistik, Dortmund
Ausbildung
2009: Automation & Robotics (M.Sc.), Technische Universität Dortmund
Forschungsschwerpunkte
- Mobile Robotik
- Sensorik
- Industrielle Bildverarbeitung
- Deep Learning
Projekte am Fraunhofer IML
- Zellulare Transportsysteme
- SmartFace
- SICK EnterpriseLab
- DB Schenker EnterpriseLab
- SAFE³LY
- Safe20
Veröffentlichungen (Auswahl)
2021
- J. Stenzel, L. Lünsch, L. Schmitz: Automated topology creation for global path planning of large AGV fleets. In: International Intelligent Transportation Systems Conference (ITSC), p. 3373-3380, IEEE, 2021 - Link zum Paper
- N. Müller, J. Stenzel, J. Chen: Self-supervised Detection and Pose Estimation of Logistical Objects in 3D Sensor Data. In: 25th International Conference on Pattern Recognition (ICPR), p. 10251-10258, IEEE, 2021 - Link zum Paper
2020
- K. Chai, J. Stenzel, J. Jost: Generation, Classification and Segmentation of Point Clouds in Logistic Context with PointNet++ and DGCNN. In: 3rd International Conference on Intelligent Robotic and Control Engineering (IRCE), IEEE, 2020 - Link zum Paper
2017
- C. Blesing, D. Lünsch, J. Stenzel, B. Korth: Concept of a multi-agent based decentralized production system for the automotive industry. In: International Conference on Practical Applications of Agents and Multi-Agent Systems, 2017 - Link zum Paper
- A. Böckenkamp, C. Mertens, C. Prasse, J. Stenzel, F. Weichert: A versatile and scalable production planning and control system for small batch series. In: Industrial internet of things, p. 541-559, Springer, 2017 - Link zum Paper
2011
- A. Kamagaew, J. Stenzel, A. Nettsträter, M. ten Hompel: Concept of cellular transport systems in facility logistics. In: 5th International Conference on Automation, Robotics and Applications, p. 40-45, IEEE, 2011 - Link zum Paper