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Linh Kästner

14 papers hereh-index 12350 citations33 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author9
  • middle author3
  • last author1

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.RO9
  • cs.CV4
  • cs.HC1
same name
  • Linh Kästner — 11 papers, h 9
  • Linh Kästner — 3 papers, h 4
  • Linh Kästner — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020

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…

cs.HC2020

Integrative Object and Pose to Task Detection for an Augmented-Reality-based Human Assistance System using Neural Networks

Linh Kästner, Leon Eversberg, Marina Mursa +1

As a result of an increasingly automatized and digitized industry, processes are becoming more complex. Augmented Reality has shown considerable potential in assisting workers with…

cs.RO2020

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

Linh Kästner, Cornelius Marx, Jens Lambrecht

Mobile robots have gained increased importance within industrial tasks such as commissioning, delivery or operation in hazardous environments. The ability to autonomously navigate…

cs.CV2020

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…

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