@article{Mendez2023c,
 author = {Miguel Mendez and Sebastian Schramm and Robert
Schmoll and Andreas Kroll},
 doi = {10.5194/jsss-13-123-2024},
 journal = {Journal of Sensors and Sensor Systems (JSSS)},
 mrtnote = {peer},
 owner = {mendez},
 title = {Integration and Evaluation of a High-Precision MotionCam-3D into a 3D Thermography
System},
 url = {https://jsss.copernicus.org/articles/13/123/2024/},
 year = {2023}
}

@inproceedings{Mendez2023a,
 address = {Nürnberg},
 author = {Miguel Mendez and Sebastian Schramm and Robert
Schmoll and Andreas Kroll},
 booktitle = {Sensor and Measurement Science International
Conference (SMSI) 2023},
 date = {2023},
 doi = {10.5162/SMSI2023/E5.2},
 month = {May},
 mrtnote = {nopeer},
 organization = {AMA Verband für Sensorik und Messtechnik e.V.},
 owner = {Mendez},
 timestamp = {2023.01.31},
 title = {Integration of a High-Precision 3D Sensor into a 3D
Thermography System},
 year = {2023}
}

@techreport{ZukunftThermografie2022,
 address = {Universität Kassel},
 author = {Sebastian Schramm},
 institution = {FG Mess- und Regelungstechnik},
 mrtnr = {TR-030},
 number = {TR-030},
 title = {Bewertung der Zukunftsthemen Thermografie},
 type = {Technischer Bericht},
 year = {2022}
}

@article{2022-Schramm-QIRT,
 abstract = {In recent years, due to the availability of affordable 3D sensors and the increased computing power, various methods for the generation of 3D thermograms have been developed. 3D thermal imaging describes the fusion of geometry and temperature data. A well-established approach is the fusion of data from depth and long-wave infrared (LWIR) cameras. However, these models generated in real-time have the limitation that the model size is limited due to inefficient data storage approach. Newer algorithms from Computer Vision promise to overcome this limitation by more efficient data handling and storage. Within this work, three state of the art 3D reconstruction algorithms from the computer vision community are compared and one of these is extended by overlaying thermal data, which allows the creation of large-scale 3D thermograms with a portable 3D measurement system. For this purpose, a geometric calibration is required, the data structure is adapted, and the handling of cyclic non-uniformity corrections required for uncooled LWIR cameras is described. The results will show exemplary 3D thermograms and the advantages compared to current existing systems.},
 author = {Schramm, Sebastian and Osterhold, Phil and Schmoll, Robert and Kroll, Andreas},
 doi = {10.1080/17686733.2021.1991746},
 journal = {Quantitative InfraRed Thermography Journal},
 keywords = {3D thermal imaging; sensor data fusion; LWIR; NIR;3D reconstruction},
 language = {english},
 mrtnote = {peer, ThermoFusion},
 number = {5},
 pages = {295--311},
 title = {Combining Modern 3D Reconstruction and Thermal Imaging:
Generation of Large-Scale 3D Thermograms in
Real-Time},
 volume = {19},
 year = {2022}
}

@inproceedings{SchrammQIRT2022,
 address = {Paris, Frankreich},
 author = {Schramm, Sebastian and Ebert, Jannik and Schmoll,
Robert and Kroll, Andreas},
 booktitle = {16th Quantitative InfraRed Thermography Conference
(QIRT)},
 doi = {10.21611/qirt.2022.1001},
 language = {english},
 month = {4.-8. Juli},
 mrtnote = {nopeer,ThermoFusion},
 owner = {schramm},
 title = {Compensating the Size-of-Source Effect: Relationship between the MTF and a Data-Driven Convolution Filter Approach},
 url = {http://qirt.org/archives/qirt2022/papers/1001.pdf},
 year = {2022}
}

@article{SchmollJSSS2021,
 author = {Schmoll, Robert and Schramm, Sebastian and
Breitenstein, Tom and Kroll, Andreas},
 doi = {10.5194/jsss-11-41-2022},
 journal = {Journal of Sensors and Sensor Systems (JSSS)},
 owner = {schmoll},
 pages = {41--49},
 title = {Method and Experimental Investigation of Surface Heat Dissipation Measurement using 3D
Thermography},
 url = {https://jsss.copernicus.org/articles/11/41/2022/},
 volume = {11},
 year = {2022}
}

@article{GMA_Schramm_2021,
 author = {Sebastian Schramm and S. Altenburg and R. Krankenhagen and C. Maierhofer and E. Marquardt and W. Mühlberger and F. Nagel and E. Neumann and P. Rohwetter and F. Rutz and N. Scheuschner and C. Schwake and F. Schwaneberg and R. D. Taubert and M.
Ziegler},
 booktitle = {GMA Fachausschuss 8.16: Temperaturmessung mit
Wärmebildkameras},
 institution = {VDI/VDE-Gesellsschaft Mess- und
Automatisierungstechnik},
 month = {Juni},
 mrtnote = {nopeer},
 owner = {schramm},
 title = {Thermografie und Strahlungsthermometrie - Stand und
Trends},
 url = {https://www.vdi.de/ueber-uns/presse/publikationen/details/thermografie-und-strahlungsthermometrie-stand-und-trends},
 year = {2021}
}

@article{Schramm2021JSSS,
 author = {Sebastian Schramm and Jannik Ebert and Johannes Rangel and Robert Schmoll and Andreas
Kroll},
 doi = {10.5194/jsss-10-207-2021},
 journal = {Journal of Sensors and Sensor Systems (JSSS)},
 mrtnote = {peer, ThermoFusion},
 pages = {207--218},
 title = {Iterative feature detection of a coded checkerboard target for the geometric calibration of infrared cameras},
 url = {https://jsss.copernicus.org/articles/10/207/2021/},
 volume = {10},
 year = {2021}
}

@article{SchrammRangel2021,
 author = {Schramm, Sebastian and Rangel, Johannes and Aguirre Salazar, Daniela and Schmoll, Robert and Kroll, Andreas},
 doi = {10.1109/JSEN.2020.3019959},
 journal = {IEEE Sensors Journal},
 mrtnote = {peer,Gas3D, ThermoFusion},
 number = {2},
 pages = {2159-2168},
 title = {Target Analysis for the Multispectral Geometric Calibration of Cameras in Visual and Infrared Spectral
Range},
 url = {https://ieeexplore.ieee.org/document/9178752},
 volume = {21},
 year = {2021}
}

@techreport{Schramm2021WIPANO,
 address = {Universität Kassel},
 author = {Schramm, Sebastian and Kahl, Matthias and Kroll
Andreas},
 institution = {FG Mess- und Regelungstechnik},
 month = {August},
 mrtnr = {TR-031},
 owner = {schramm},
 timestamp = {2021.08.27},
 title = {Experimentelle messtechnische Charakterisierung der Emissionsgradbestimmung mittels
3D-Thermografie},
 type = {Abschlussbericht},
 url = {https://www.tib.eu/de/suchen/id/TIBKAT:1777149630},
 year = {2021}
}

@inproceedings{SchmollSMSI2021,
 address = {online},
 author = {Schmoll, Robert and Schramm, Sebastian and
Breitenstein, Tom and Kroll, Andreas},
 booktitle = {Sensor and Measurement Science International
Conference (SMSI) 2021},
 doi = {10.5162/SMSI2021/C2.4},
 month = {03.-06. May},
 organization = {AMA Verband für Sensorik und Messtechnik e.V.},
 owner = {schmoll},
 pages = {187--188},
 timestamp = {2021.01.06},
 title = {3D Thermography for the Measurement of Surface Heat
Dissipation},
 url = {https://www.ama-science.org/proceedings/details/4005},
 year = {2021}
}

@article{Schramm2021TS,
 author = {Marquardt, Erik and Nagel, Frank and Schwake, Christian and Schramm, Sebastian and Schwaneberg, Falko},
 doi = {10.37544/2191-0073-2021-09-10-32},
 journal = {Technische Sicherheit},
 language = {german},
 mrtnote = {nopeer},
 number = {09-10},
 owner = {schramm},
 pages = {32--33},
 timestamp = {2021.10.06},
 title = {Leckageortung mittels Thermografiekameras},
 url = {https://elibrary.vdi-verlag.de/10.37544/2191-0073-2021-09-10-32/leckageortung-mittels-thermografiekameras-jahrgang-11-2021-heft-09-10},
 volume = {November},
 year = {2021}
}

@article{kahl2021ident2dt,
 article-number = {2050},
 author = {Kahl, Matthias and Schramm, Sebastian and Neumann,
Max and Kroll, Andreas},
 doi = {10.3390/met11122050},
 issn = {2075-4701},
 journal = {Metals},
 mrtnote = {peer, DigiWerk},
 number = {12},
 publisher = {Multidisciplinary Digital Publishing Institute},
 title = {Identification of a Spatio-Temporal Temperature
Model for Laser Metal Deposition},
 url = {https://www.mdpi.com/2075-4701/11/12/2050},
 volume = {November},
 year = {2021}
}

@inproceedings{SS_QIRT2020,
 address = {Porto, Portugal},
 author = {Schramm, Sebastian and Osterhold, Phil and Schmoll,
Robert and Kroll, Andreas},
 booktitle = {15th Quantitative InfraRed Thermography Conference
(QIRT)},
 doi = {10.21611/qirt.2020.008},
 language = {english},
 month = {6.-10. Juli},
 mrtnote = {nopeer,ThermoFusion},
 owner = {schramm},
 timestamp = {2019.12.16},
 title = {Generation of Large-Scale 3D Thermograms in Real-Time Using Depth and Infrared
Cameras},
 url = {https://qirt.org/archives/qirt2020/papers/008.pdf},
 year = {2020}
}

@inproceedings{SS_ICST2019,
 address = {Sydney, Australia},
 author = {Sebastian Schramm and Robert Schmoll and Andreas
Kroll},
 booktitle = {13th International Conference on Sensing Technology
(ICST)},
 doi = {10.1109/ICST46873.2019.9047669},
 language = {english},
 month = {2.-4. Dezember},
 mrtnote = {peer,ThermoFusion},
 owner = {schramm},
 timestamp = {2017.11.14},
 title = {Compensation of the Size-of-Source Effect of Infrared Cameras Using Image Processing
Methods},
 url = {https://ieeexplore.ieee.org/document/9047669},
 year = {2019}
}

@conference{GMA_Schramm_2019,
 author = {Sebastian Schramm},
 booktitle = {GMA Fachausschuss 8.16: Temperaturmessung mit
Wärmebildkameras},
 date = {2019.01.29},
 month = {Januar},
 mrtnote = {nopeer},
 organization = {VDI/VDE},
 owner = {scrhamm},
 timestamp = {06.09.2019},
 title = {3D-Thermografie: Systeme, Verfahren und Anwendungen},
 url = {https://www.vdi.de/tg-fachgesellschaften/vdi-gesellschaft-mess-und-automatisierungstechnik/optische-technologien},
 year = {2019}
}

@misc{DPatent2019,
 abstract = {Gegenstand der Erfindung ist ein Verfahren und eine Vorrichtung zum Erzeugen eines dreidimensionalen Thermogramms einer Objektoberfläche (10), wobei das Verfahren wenigstens die folgenden Schritte umfasst:- Erfassen (100) von geometrischen Daten eines Objekts (1) und Erstellen eines dreidimensionalen Modells des Objekts (1) anhand der erfassten geometrischen Daten,- Erfassen (200) von Wärmestrahlungsmesswerten für Aufpunkte (11) auf der Objektoberfläche (10), wobei je Aufpunkt (11) eine Mehrzahl von Wärmestrahlungsmesswerten aus unterschiedlichen Blickrichtungen (30) auf die Objektoberfläche (10) erfasst wird,- Zuordnen (300) der Wärmestrahlungsmesswerte für die Aufpunkte (11) auf der Objektoberfläche zu Aufpunkten auf der zugehörigen Oberfläche des dreidimensionalen Modells des Objekts (1), wobei jedem Wärmestrahlungsmesswert ein Zenitwinkel (2) zwischen der Blickrichtung (30) und der Oberflächennormale (12) im zugehörigen Aufpunkt (11) zugeordnet wird,- Modellieren (400) des Emissionsgrades der Objektoberfläche (10) je Aufpunkt (11) anhand der Abhängigkeit der Wärmestrahlungsmesswerte von den zugehörigen Zenitwinkeln (2), und- Modellieren (500) der Temperatur der Objektoberfläche (10) je Aufpunkt (11) anhand der Wärmestrahlungsmesswerte, der Zenitwinkel (2) und des Emissionsgrades, und Ausgeben (501) des dreidimensionalen Thermogramms.},
 address = {Universität Kassel},
 assignee = {Universität Kassel},
 author = {Kroll, Andreas and Schramm, Sebastian},
 language = {german},
 mrtnote = {patent},
 nationality = {Deutsch},
 note = {EP 3742136 A1},
 number = {DE 10 2019 113 691 B4},
 owner = {schramm},
 title = {Verfahren und Vorrichtung zum Erzeugen eines
3D-Thermogramms},
 type = {Patent},
 url = {https://depatisnet.dpma.de/DepatisNet/depatisnet?action=bibdat&docid=DE102019113691B4},
 year = {2019}
}

@inproceedings{SS_SAS2018,
 address = {Seoul, Korea},
 author = {Sebastian Schramm and Johannes Rangel and Andreas
Kroll},
 booktitle = {IEEE Sensors Applications Symposium (SAS)},
 doi = {https://doi.org/10.1109/SAS.2018.8336740},
 language = {english},
 month = {12.-14. März},
 mrtnote = {peer,ThermoFusion},
 owner = {schramm},
 timestamp = {2017.11.14},
 title = {Data Fusion for 3D Thermal Imaging Using Depth and Stereo Camera for Robust
Self-localization},
 url = {https://ieeexplore.ieee.org/document/8336740/},
 year = {2018}
}

@mastersthesis{MA_schramm_2017,
 address = {Universität Kassel},
 author = {Sebastian Schramm},
 month = {Juli},
 mrtnote = {education},
 mrtnr = {194},
 owner = {rangel},
 school = {FG Mess- und Regelungstechnik},
 supervisor = {#jr#},
 timestamp = {2016.10.06},
 title = {Zur verbesserten Selbstlokalisation eines 3-D- Thermographie-Messsystems mittels Ergänzung von Stereokameradaten},
 type = {Masterarbeit},
 url = {https://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Lehre/Aufgabenstellungen/2016-Schramm-MA-3dThermo.pdf},
 year = {2017}
}

@mastersthesis{2015-Schramm-BA-Geschwindigkeit,
 address = {Universität Kassel},
 author = {Sebastian Schramm},
 month = {März},
 mrtnote = {education, BioGas},
 mrtnr = {150},
 owner = {dierks},
 school = {FG Mess- und Regelungstechnik},
 supervisor = {#sd#},
 timestamp = {2015.02.03},
 title = {Bestimmung von Geschwindigkeiten aus Bildserien
einer Gaskamera},
 type = {Bachelorarbeit},
 url = {https://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Lehre/Aufgabenstellungen/2015-Schramm-BA-Geschwindigkeit.pdf},
 year = {2015}
}

@mastersthesis{Schramm2014,
 address = {Universität Kassel},
 author = {Sebastian Schramm},
 month = {Oktober},
 mrtnote = {education, muPlant},
 mrtnr = {128},
 owner = {geiger},
 school = {FG Mess- und Regelungstechnik},
 supervisor = {#ag#},
 timestamp = {2011.04.11},
 title = {Erstellung und Implementierung eines Visualisierungskonzepts zur Bedienung einer Prozessinsel},
 type = {Semesterarbeit},
 year = {2014}
}