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Identification of Martensite Bands in Dual‐Phase Steels: A Deep Learning Object Detection Approach Using Faster Region‐Based‐Convolutional Neural Network2023 steel research international article Engineering Microstructure and Mechanical Properties of Steels Open access
Niklas C. Fehlemann, Ana Lia Suarez Aguilera, Stefan Sandfeld, Maximilian Neite, David Lenz, Markus Könemann, +1 more
9citations -
A tomographic workflow to enable deep learning for X-ray based foreign object detection2022 Expert Systems with Applications article Engineering Industrial Vision Systems and Defect Detection Open access cited by 1 patent
Mathé T. Zeegers, Tristan van Leeuwen, Daniël M. Pelt, Sophia Bethany Coban, Robert van Liere, Kees Joost Batenburg
6citations -
Enhancing Lidar-Based Object Detection in Adverse Weather Using Offset Sequences in Time2023 International Conference on Electrical, Computer and Energy Technologies (ICECET) conference-paper Engineering Autonomous Vehicle Technology and Safety
Raphael van Kempen, Tim Rehbronn, Abin Jose, Johannes Stegmaier, Bastian Lampe, Timo Woopen, +1 more
6citations -
Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time2024 RWTH Publications (RWTH Aachen) conference-paper Engineering Autonomous Vehicle Technology and Safety Open access
Raphael van Kempen, Tim Rehbronn, Abin Jose, Johannes Stegmaier, Bastian Lampe, Timo Woopen, +1 more
0citations -
MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection2024 IEEE Intelligent Vehicles Symposium conference-paper Engineering Autonomous Vehicle Technology and Safety cited by 2 patents
Till Beemelmanns, Quan Zhang, Christian Geller, Lutz Eckstein
13citations -
MobileCrack: Object Classification in Asphalt Pavements Using an Adaptive Lightweight Deep Learning2020 Journal of Transportation Engineering Part B Pavements article Engineering Infrastructure Maintenance and Monitoring
Yue Hou, Qiuhan Li, Qiang Han, Bo Peng, Linbing Wang, Xingyu Gu, +1 more
59citations -
Pseudo-rigid body networks: learning interpretable deformable object dynamics from partial observations2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) conference-paper Engineering Soft Robotics and Applications Open access
Shamil Mamedov, A. René Geist, Jan Swevers, Sebastian Trimpe
4citations