Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-26464
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dc.contributor.authorOppliger, Moritz-
dc.contributor.authorGutknecht, Jonas-
dc.contributor.authorGubler, Roman-
dc.contributor.authorLudwig, Matthias-
dc.contributor.authorLoeliger, Teddy-
dc.date.accessioned2022-12-20T13:13:49Z-
dc.date.available2022-12-20T13:13:49Z-
dc.date.issued2022-11-
dc.identifier.isbn978-1-6654-8464-0de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/26464-
dc.description.abstractPresence 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.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject3D time-of-flight (3D ToF)de_CH
dc.subjectLong-wave infrared (LWIR)de_CH
dc.subjectThermal imagingde_CH
dc.subjectCamera fusionde_CH
dc.subjectSensor fusionde_CH
dc.subject.ddc004: Informatikde_CH
dc.subject.ddc621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnikde_CH
dc.titleSensor fusion of 3D time-of-flight and thermal infrared camera for presence detection of living beingsde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitute of Signal Processing and Wireless Communications (ISC)de_CH
dc.identifier.doi10.1109/SENSORS52175.2022.9967309de_CH
dc.identifier.doi10.21256/zhaw-26464-
zhaw.conference.detailsIEEE Sensors, Dallas, USA, 30 October - 2 November 2022de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedings2022 IEEE Sensorsde_CH
zhaw.funding.snf198986de_CH
zhaw.webfeedDigitale Signalverarbeitungde_CH
zhaw.webfeedElektronik und Hochfrequenztechnikde_CH
zhaw.funding.zhaw3D Time-of-Flight in Sensor Fusionde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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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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