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https://doi.org/10.21256/zhaw-26464| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | Sensor fusion of 3D time-of-flight and thermal infrared camera for presence detection of living beings |
| Authors: | Oppliger, Moritz Gutknecht, Jonas Gubler, Roman Ludwig, Matthias Loeliger, Teddy |
| et. al: | No |
| DOI: | 10.1109/SENSORS52175.2022.9967309 10.21256/zhaw-26464 |
| Proceedings: | 2022 IEEE Sensors |
| Conference details: | IEEE Sensors, Dallas, USA, 30 October - 2 November 2022 |
| Issue Date: | Nov-2022 |
| Publisher / Ed. Institution: | IEEE |
| ISBN: | 978-1-6654-8464-0 |
| Language: | English |
| Subjects: | 3D time-of-flight (3D ToF); Long-wave infrared (LWIR); Thermal imaging; Camera fusion; Sensor fusion |
| Subject (DDC): | 004: Computer science 621.3: Electrical, communications, control engineering |
| Abstract: | Presence detection of living beings is a key processing step in many applications. To increase the detection accuracy, an algorithm that uses camera fusion of a 3D Time-of-Flight (3D ToF) and a Long-Wave Infrared (LWIR) camera is applied and characterized here. Different sensor fusion approaches and sensor data processing schemes are compared. The algorithms are applied to a typical wildlife detection dataset and their performance is evaluated. The detection accuracy is up to 10 % higher when combining 3D ToF and LWIR images compared to only 3D ToF or LWIR images. Additionally, the location and size of the living being can be determined using the 3D ToF image. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/26464 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Signal Processing and Wireless Communications (ISC) |
| Published as part of the ZHAW project: | 3D Time-of-Flight in Sensor Fusion |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2022_Oppliger-etal_Sensor-fusion-3D-ToF-thermal-infrared-camera_Sensors.pdf | Accepted Version | 4.63 MB | Adobe PDF |  View/Open |
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Oppliger, M., Gutknecht, J., Gubler, R., Ludwig, M., & Loeliger, T. (2022, November). Sensor fusion of 3D time-of-flight and thermal infrared camera for presence detection of living beings. 2022 IEEE Sensors. https://doi.org/10.1109/SENSORS52175.2022.9967309
Oppliger, M. et al. (2022) ‘Sensor fusion of 3D time-of-flight and thermal infrared camera for presence detection of living beings’, in 2022 IEEE Sensors. IEEE. Available at: https://doi.org/10.1109/SENSORS52175.2022.9967309.
M. Oppliger, J. Gutknecht, R. Gubler, M. Ludwig, and T. Loeliger, “Sensor fusion of 3D time-of-flight and thermal infrared camera for presence detection of living beings,” in 2022 IEEE Sensors, Nov. 2022. doi: 10.1109/SENSORS52175.2022.9967309.
OPPLIGER, Moritz, Jonas GUTKNECHT, Roman GUBLER, Matthias LUDWIG und Teddy LOELIGER, 2022. Sensor fusion of 3D time-of-flight and thermal infrared camera for presence detection of living beings. In: 2022 IEEE Sensors. Conference paper. IEEE. November 2022. ISBN 978-1-6654-8464-0
Oppliger, Moritz, Jonas Gutknecht, Roman Gubler, Matthias Ludwig, and Teddy Loeliger. 2022. “Sensor Fusion of 3D Time-of-Flight and Thermal Infrared Camera for Presence Detection of Living Beings.” Conference paper. In 2022 IEEE Sensors. IEEE. https://doi.org/10.1109/SENSORS52175.2022.9967309.
Oppliger, Moritz, et al. “Sensor Fusion of 3D Time-of-Flight and Thermal Infrared Camera for Presence Detection of Living Beings.” 2022 IEEE Sensors, IEEE, 2022, https://doi.org/10.1109/SENSORS52175.2022.9967309.
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