| An open source vision pipeline approach for robocup humanoid soccer N Fiedler, H Brandt, J Gutsche, F Vahl, J Hagge, M Bestmann RoboCup 2019: Robot World Cup XXIII 23, 376-386, 2019 | 12 | 2019 |
| Wolfgang-OP: A Robust Humanoid Robot Platform for Research and Competitions M Bestmann, J Güldenstein, F Vahl, J Zhang IEEE Humanoids 2021, 2021 | 11 | 2021 |
| TORSO-21 Dataset: Typical Objects in RoboCup Soccer 2021 M Bestmann, T Engelke, N Fiedler, J Güldenstein, J Gutsche, J Hagge, ... Robot World Cup 2021, 2021 | 11 | 2021 |
| YOEO - You Only Encode Once: A CNN for Embedded Object Detection and Semantic Segmentation F Vahl, J Gutsche, M Bestmann, J Zhang IEEE ROBIO, 2021 | 6 | 2021 |
| Applying Monocular Depth Estimation in RoboCup Soccer N Fiedler, F Vahl, JN Feldhusen, J Zhang 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1451 …, 2022 | 1 | 2022 |
| The human in the loop Perspectives and challenges for RoboCup 2050 A Rossi, M Paetzel-Prüsmann, M Keijsers, M Anderson, SL Anderson, ... Autonomous Robots 48 (2), 8, 2024 | | 2024 |
| DeepField—Semi-Supervised Learning for RoboCup Soccer Field Recognition J Gutsche, F Vahl | | 2020 |
| Visual Compass for Mobile Robot Orientation Estimation P Baumann, J Gutsche, B Ostendorf, F Vahl | | 2019 |
| Active Vision for Humanoid Soccer Robots using Reinforcement Learning F Vahl | | |
Jan GutscheGraduate Computer Science, Universität HamburgVerified email at uni-hamburg.de
