@inproceedings{Noori2024a,
 address = {San Diego},
 author = {Hoschang Noori and Robert
Schmoll and Andreas Kroll},
 booktitle = {SPIE Optical Engineering + Applications (OP24O)},
 date = {2024},
 month = {September},
 note = {submitted},
 organization = {SPIE},
 owner = {Noori},
 timestamp = {2024.04.24},
 title = {Characterization of the angular distribution of the
radiance and homogeneity of a integrating sphere and a
parabolic reflector in the middle- and long-wavelength
infrared with a self-developed
gonioradiometer},
 year = {2024}
}

@inproceedings{Shen2023,
 address = {Vienna, Austria},
 author = {Zhe Shen and Robert Schmoll and Andreas Kroll},
 booktitle = {IEEE Sensors 2023},
 doi = {10.1109/SENSORS56945.2023.10324883},
 language = {english},
 month = {30. October},
 mrtnote = {peer, poster:Shen},
 organization = {IEEE},
 owner = {shen},
 title = {Measurement of Fluid Flow Velocity by Using Infrared and
Visual Cameras: Comparison and Evaluation of Optical Flow
Estimation
Algorithms},
 url = {https://ieeexplore.ieee.org/document/10324883},
 year = {2023}
}

@article{Mendez2023c,
 author = {Miguel Mendez and Sebastian Schramm and Robert
Schmoll and Andreas Kroll},
 journal = {Journal of Sensors and Sensor Systems (JSSS)},
 mrtnote = {peer},
 note = {submitted},
 owner = {mendez},
 title = {Integration and Evaluation of a High-Precision MotionCam-3D into a 3D Thermography
System},
 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}
}

@inproceedings{Mendez2023b,
 abstract = {Current radiometric calibration procedures for thermal imaging cameras are usually performed for a single calibration geometry. The uncertainty estimated from such procedure only represents the calibration scenario and does not account for variation of the emitting source's size; this is known as the size-of-source effect (SSE). In this work, the measurements of the SSE for four thermal imaging cameras (two in the long-wavelength and two in the middle-wavelength infrared range) are presented. The investigation shows that the SSE is smaller for the middle-wavelength cameras.},
 address = {Abu Dhabi, U.A.E.},
 author = {Miguel Mendez and Jannik Ebert and Lars Sommerlade and Robert Schmoll and Andreas
Kroll},
 booktitle = {QIRT Asia 2023 - The 4th Quantitative Infrared
Thermography Conference},
 language = {english},
 month = {Oct. 30 - Nov. 3},
 mrtnote = {nopeer,3DTS},
 owner = {mendez},
 title = {Comparative Assessment of the Size-of-Source Effect in Middle and Long-Wavelength Infrared
Cameras},
 year = {2023}
}

@techreport{Kistner2023b,
 address = {Universität Kassel},
 author = {Lars Kistner and Stephan Rosendahl and Robert Schmoll and Patrick Plötter-Saße and Carsten Supply and Andreas
Kroll},
 institution = {FG Mess- und Regelungstechnik},
 language = {german},
 month = {September},
 mrtnr = {TR-033},
 owner = {kistner},
 timestamp = {2023.09.26},
 title = {Smarte drohnenbasierte Detektion, Lokalisierung und Quantifizierung von
Methanemissionen},
 type = {Abschlussbericht},
 url = {https://www.dbu.de/projektdatenbank/35407-01/},
 year = {2023}
}

@inproceedings{Kistner2023,
 address = {Nürnberg},
 author = {Lars Kistner and Robert Schmoll and Andreas Kroll},
 booktitle = {Sensor and Measurement Science International
Conference (SMSI) 2023},
 date = {2023},
 doi = {10.5162/SMSI2023/P67},
 month = {May},
 mrtnote = {nopeer},
 organization = {AMA Verband für Sensorik und Messtechnik e.V.},
 owner = {kistner},
 timestamp = {2023.01.31},
 title = {An Airborne Measurement System to Detect, Locate and
Quantify Methane Emissions},
 year = {2023}
}

@article{Kistner2023c,
 author = {Lars Kistner and Robert Schmoll and Andreas Kroll},
 journal = {Journal of Sensors and Sensor Systems (JSSS)},
 mrtnote = {peer},
 note = {submitted},
 owner = {kistner},
 title = {An airborne measurement system to detect, locate, and quantify methane emissions with attitude-based wind speed
estimation},
 year = {2023}
}

@inproceedings{SchrammQIRT2022,
 address = {Paris, Frankreich},
 author = {Schramm, Sebastian and Ebert, Jannik and Schmoll,
Robert and Kroll, Andreas},
 booktitle = {16th Quantitative InfraRed Thermography Conference
(QIRT)},
 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},
 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{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}
}

@article{Schramm2021QIRT,
 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 = {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}
}

@inproceedings{2021-Rangel-SPIE-Deep_Learning_Optical_Flow,
 author = {Johannes Rangel and Juan Duenas and Robert Schmoll
and Andreas Kroll},
 booktitle = {Conference on Automated Visual Inspection and
Machine Vision IV},
 doi = {10.1117/12.2591903},
 language = {english},
 mrtnote = {nopeer},
 organization = {SPIE. International Society for optics and
photonics},
 owner = {duerrbaum},
 pubstate = {accepted},
 subtitle = {SPIE Optical Metrology},
 timestamp = {2021.01.06},
 title = {On Evaluating deep-learning-based Optical Flow Methods for Gas Velocity Estimation with Optical Gas Imaging
Cameras},
 url = {https://spie.org/EOM/conferencedetails/automated-visual-inspection},
 year = {2021}
}

@article{rangel_IEEEsensors_2020,
 author = {J. Rangel and R. Schmoll and A. Kroll},
 doi = {https://doi.org/10.1109/JSEN.2020.3042116},
 issn = {1530-473X},
 journal = {IEEE Sensors Journal},
 mrtnote = {peer,Gas3D},
 number = {5},
 owner = {duerrbaum},
 pages = {6811 -- 6820},
 timestamp = {2020.06.26},
 title = {Catadioptric Stereo Optical Gas Imaging System for Scene Flow Computation of Gas
Structures},
 url = {https://ieeexplore.ieee.org/document/9277592},
 volume = {21},
 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{Rangel2020,
 address = {Snowmass Village, Colorado, USA},
 author = {J. Rangel and R. Schmoll and A. Kroll},
 booktitle = {IEEE Winter Conference on Applications of Computer
Vision (WACV 2020)},
 doi = {10.1109/WACV45572.2020.9093630},
 isbn = {978-1-7281-6554-7},
 month = {2.-5. März},
 mrtnote = {peer,Gas3D},
 owner = {duerrbaum},
 pages = {174-182},
 timestamp = {2019.08.06},
 title = {On Scene Flow Computation of Gas Structures with
Optical Gas Imaging Cameras},
 url = {https://ieeexplore.ieee.org/document/9093630},
 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}
}

@mastersthesis{Dip2Schmoll2009,
 address = {Universität Kassel},
 author = {Schmoll, Robert},
 file = {Veroeffentlichung:https\://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Veroeffentlichungen/Lehre/2009-Schmoll-DA2-Identikationsmethoden_PKW_Drosselklappen.pdf:URL;Aufgabenstellung:https\://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Lehre/Aufgabenstellungen/2009-Schmoll-DA2-Identikationsmethoden_PKW_Drosselklappen.pdf:URL},
 language = {german},
 month = {August},
 mrtnote = {education},
 mrtnr = {028},
 note = {Diese Arbeit unterliegt einem Sperrvermerk bis zum
1.9.2012},
 owner = {duerrbaum},
 school = {FG Mess- und Regelungstechnik},
 supervisor = {#ak#, #zr#},
 timestamp = {2008.04.14},
 title = {Entwicklung von Identifikationsmethoden für nichtlineare dynamische Modelle und Anwendung auf PKW-Drosselklappen},
 type = {Diplomarbeit 2},
 year = {2009}
}