Articles | Volume 14, issue 1
https://doi.org/10.5194/jsss-14-37-2025
https://doi.org/10.5194/jsss-14-37-2025
Regular research article
 | 
18 Feb 2025
Regular research article |  | 18 Feb 2025

Enhancing human–robot collaboration with thermal images and deep neural networks: the unique thermal industrial dataset WLRI-HRC and evaluation of convolutional neural networks

Sinan Süme, Katrin-Misel Ponomarjova, Thomas M. Wendt, and Stefan J. Rupitsch

Related authors

Conceptual design of additive manufactured capacitive displacement sensors for adaptive pin array grippers
Steffen Schröder, Thomas M. Wendt, and Stefan J. Rupitsch
J. Sens. Sens. Syst., 14, 265–273, https://doi.org/10.5194/jsss-14-265-2025,https://doi.org/10.5194/jsss-14-265-2025, 2025
Short summary
The ECOSENSE forest: A distributed sensor and data management system for real-time monitoring of ecosystem processes and stresses
Jasmin Tesch, Kathrin Kühnhammer, Delon Wagner, Andreas Christen, Carsten Dormann, Julian Frey, Rüdiger Grote, Teja Kattenborn, Markus Sulzer, Ulrike Wallrabe, Markus Weiler, Christiane Werner, Samaneh Baghbani, Julian Brzozon, Laura Maria Comella, Lea Dedden, Stefanie Dumberger, Yasmina Frey, Matthias Gassilloud, Timo Gerach, Anna Göritz, Simon Haberstroh, Johannes Klüppel, Luis Kremer, Jürgen Kreuzwieser, Hojin Lee, Joachim Maack, Julian Müller, Oswald Prucker, Sanam Kumari Rajak, Jürgen Rühe, Stefan J. Rupitsch, Helmer Schack-Kirchner, Christian Scharinger, Uttunga Shinde, Till Steinmann, Clara Stock, and Josef Strack
EGUsphere, https://doi.org/10.5194/egusphere-2025-4979,https://doi.org/10.5194/egusphere-2025-4979, 2025
This preprint is open for discussion and under review for Geoscientific Instrumentation, Methods and Data Systems (GI).
Short summary
Evaluation of precision, accuracy and threshold for the design of vibrotactile feedback in eye tracking applications
Anke Fischer, Thomas M. Wendt, Lukas Stiglmeier, Philipp Gawron, and Kristof Van Laerhoven
J. Sens. Sens. Syst., 12, 103–109, https://doi.org/10.5194/jsss-12-103-2023,https://doi.org/10.5194/jsss-12-103-2023, 2023
Short summary

Cited articles

Alatise, M. B. and Hancke, G. P.: A Review on Challenges of Autonomous Mobile Robot and Sensor Fusion Methods, IEEE Access, 8, 39830–39846, https://doi.org/10.1109/ACCESS.2020.2975643, 2020. a
Everingham, M., Van Gool, L., Williams, C. K. I., Winn, J., and Zisserman, A.: The Pascal Visual Object Classes (VOC) Challenge, Int. J. Comput. Vis., 88, 303–338, https://doi.org/10.1007/s11263-009-0275-4, 2010. a, b, c
FLIR, C. S.: FLIR T420 & T440, FLIR Commercial Systems, http://www.flirmedia.com/MMC/THG/Brochures/IND_003/IND_003_EN.pdf (last access: 6 August 2024), 2013. a
Fraden, J.: Handbook of Modern Sensors: Physics, Designs, and Applications, Springer International Publishing, Cham, ISBN 978-3-319-19302-1 978-3-319-19303-8, https://doi.org/10.1007/978-3-319-19303-8, 2016. a
Gebhardt, E. and Wolf, M.: CAMEL Dataset for Visual and Thermal Infrared Multiple Object Detection and Tracking, in: 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 1–6 pp., https://doi.org/10.1109/AVSS.2018.8639094, 2018. a
Download
Short summary
This contribution deals with the exploration of human–robot collaboration using an infrared sensor and artificial intelligence (AI) to improve the safety and efficiency of the collaboration. The main contribution is the unique thermal dataset WLRI-HRC generated in a manufacturing environment and the evaluation of the dataset using different AI network methods.
Share