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https://doi.org/10.21256/zhaw-26464| Publikationstyp: | Konferenz: Paper |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Sensor fusion of 3D time-of-flight and thermal infrared camera for presence detection of living beings |
| Autor/-in: | Oppliger, Moritz Gutknecht, Jonas Gubler, Roman Ludwig, Matthias Loeliger, Teddy |
| et. al: | No |
| DOI: | 10.1109/SENSORS52175.2022.9967309 10.21256/zhaw-26464 |
| Tagungsband: | 2022 IEEE Sensors |
| Angaben zur Konferenz: | IEEE Sensors, Dallas, USA, 30 October - 2 November 2022 |
| Erscheinungsdatum: | Nov-2022 |
| Verlag / Hrsg. Institution: | IEEE |
| ISBN: | 978-1-6654-8464-0 |
| Sprache: | Englisch |
| Schlagwörter: | 3D time-of-flight (3D ToF); Long-wave infrared (LWIR); Thermal imaging; Camera fusion; Sensor fusion |
| Fachgebiet (DDC): | 004: Informatik 621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnik |
| Zusammenfassung: | 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 |
| Volltext Version: | Akzeptierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Institute of Signal Processing and Wireless Communications (ISC) |
| Publiziert im Rahmen des ZHAW-Projekts: | 3D Time-of-Flight in Sensor Fusion |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2022_Oppliger-etal_Sensor-fusion-3D-ToF-thermal-infrared-camera_Sensors.pdf | Accepted Version | 4.63 MB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
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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