Articles | Volume 14, issue 1
https://doi.org/10.5194/jsss-14-37-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Special issue:
Enhancing human–robot collaboration with thermal images and deep neural networks: the unique thermal industrial dataset WLRI-HRC and evaluation of convolutional neural networks
Related authors
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