4 papers · 1 filter
Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging
Samim Ahmadi, Linh Kästner, Jan Christian Hauffen +2
This paper presents deep unfolding neural networks to handle inverse problems in photothermal radiometry enabling super resolution (SR) imaging. Photothermal imaging is a well-know…
Classification of Spot-welded Joints in Laser Thermography Data using Convolutional Neural Networks
Linh Kästner, Samim Ahmadi, Florian Jonietz +4
Spot welding is a crucial process step in various industries. However, classification of spot welding quality is still a tedious process due to the complexity and sensitivity of th…
A Markerless Deep Learning-based 6 Degrees of Freedom PoseEstimation for with Mobile Robots using RGB Data
Linh Kästner, Daniel Dimitrov, Jens Lambrecht
Augmented Reality has been subject to various integration efforts within industries due to its ability to enhance human machine interaction and understanding. Neural networks have…
A 3D-Deep-Learning-based Augmented Reality Calibration Method for Robotic Environments using Depth Sensor Data
Linh Kästner, Vlad Catalin Frasineanu, Jens Lambrecht
Augmented Reality and mobile robots are gaining much attention within industries due to the high potential to make processes cost and time efficient. To facilitate augmented realit…