Comparison of Approaches for Human Detection with Low-Resolution Infrared Data Sets Using Deep Learning-Reference-Cited by-同舟云学术

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Comparison of Approaches for Human Detection with Low-Resolution Infrared Data Sets Using Deep Learning

Published:2024-06-24 Issue: Volume:68 Page:596-602
ISSN:
Container-title:2024 21st International Conference on Ubiquitous Robots (UR)
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Author:

Läufer Damian¹,Braun Simone¹,Süme Sinan²,Himmelsbach Urban²

Affiliation:

1. Institute for Machine Learning and Analytics, Offenburg University of Applied Sciences,Department Business,Gengenbach,Germany,77723

2. Work-Life Robotics Institute, Offenburg University of Applied Sciences,Department Business,Offenburg,Germany,77656

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10597436/10597437/10597494.pdf?arnumber=10597494

Reference31 articles.

1. Collaborative and traditional robotic assembly: a comparison model

2. Robots and robotic devices – Collaborative robots,2016

3. Symbiotic human-robot collaborative assembly;Wang;CIRP Annals,2019

4. Classification of Thermal Images for Human-Machine Differentiation in Human-Robot Collaboration Using Convolutional Neural Networks

5. Deep Learning Based Brain Tumor Detection and Classification

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