Search Results for author: Linh Kästner

Found 10 papers, 4 papers with code

Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging

no code implementations21 Apr 2021 Samim Ahmadi, Linh Kästner, Jan Christian Hauffen, Peter Jung, Mathias Ziegler

Photothermal imaging is a well-known technique in active thermography for nondestructive inspection of defects in materials such as metals or composites.

Super-Resolution

Spatial Imagination With Semantic Cognition for Mobile Robots

no code implementations8 Apr 2021 Zhengcheng Shen, Linh Kästner, Jens Lambrecht

The imagination of the surrounding environment based on experience and semantic cognition has great potential to extend the limited observations and provide more information for mapping, collision avoidance, and path planning.

Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging

2 code implementations7 Dec 2020 Samim Ahmadi, Jan Christian Hauffen, Linh Kästner, Peter Jung, Giuseppe Caire, Mathias Ziegler

More precisely, we show the benefits of using a learned block iterative shrinkage thresholding algorithm that is able to learn the choice of regularization parameters.

Super-Resolution

Deep-Reinforcement-Learning-Based Semantic Navigation of Mobile Robots in Dynamic Environments

1 code implementation2 Aug 2020 Linh Kästner, Cornelius Marx, Jens Lambrecht

Visual based navigation and high level semantics bear the potential to enhance the safety of path planing by creating links the agent can reason about for a more flexible navigation.

Robotics

A Markerless Deep Learning-based 6 Degrees of Freedom PoseEstimation for with Mobile Robots using RGB Data

no code implementations16 Jan 2020 Linh Kästner, Daniel Dimitrov, Jens Lambrecht

In this work we propose a method to deploy state of the art neural networks for real time 3D object localization on augmented reality devices.

Data Visualization Object Localization

Cannot find the paper you are looking for? You can Submit a new open access paper.