@article{MolloyMuellerDeeganetal.2024, author = {Molloy, Dara and M{\"u}ller, Patrick and Deegan, Brian and Mullins, Darragh and Horgan, Jonathan and Ward, Enda and Jones, Edward and Braun, Alexander and Glavin, Martin}, title = {Analysis of the Impact of Lens Blur on Safety-Critical Automotive Object Detection}, series = {IEEE Access}, volume = {12}, journal = {IEEE Access}, publisher = {IEEE}, issn = {2169-3536}, doi = {10.1109/ACCESS.2023.3348663}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-42999}, pages = {3554 -- 3569}, year = {2024}, abstract = {Camera-based object detection is widely used in safety-critical applications such as advanced driver assistance systems (ADAS) and autonomous vehicle research. Road infrastructure has been designed for human vision, so computer vision, with RGB cameras, is a vital source of semantic information from the environment. Sensors, such as LIDAR and RADAR, are also often utilized for these applications; however, cameras provide a higher spatial resolution and color information. The spatial frequency response (SFR), or sharpness of a camera, utilized in object detection systems must be sufficient to allow a detection algorithm to localize objects in the environment over its lifetime reliably. This study explores the relationship between object detection performance and SFR. Six state-of-the-art object detection models are evaluated with varying levels of lens defocus. A novel raw image dataset is created and utilized, containing pedestrians and cars over a range of distances up to 100-m from the sensor. Object detection performance for each defocused dataset is analyzed over a range of distances to determine the minimum SFR necessary in each case. Results show that the relationship between object detection performance and lens blur is much more complex than previous studies have found due to lens field curvature, chromatic aberration, and astigmatisms. We have found that smaller objects are disproportionately impacted by lens blur, and different object detection models have differing levels of robustness to lens blur}, language = {en} } @article{SieberichsGeerkensBraunetal.2024, author = {Sieberichs, Christian and Geerkens, Simon and Braun, Alexander and Waschulzik, Thomas}, title = {ECS: an interactive tool for data quality assurance}, series = {AI and Ethics}, journal = {AI and Ethics}, publisher = {Springer Nature}, issn = {2730-5961}, doi = {10.1007/s43681-023-00393-3}, year = {2024}, abstract = {With the increasing capabilities of machine learning systems and their potential use in safety-critical systems, ensuring high-quality data is becoming increasingly important. In this paper, we present a novel approach for the assurance of data quality. For this purpose, the mathematical basics are first discussed and the approach is presented using multiple examples. This results in the detection of data points with potentially harmful properties for the use in safety-critical systems.}, language = {en} } @techreport{RehmLoschenLetzner2024, author = {Rehm, Lukas and Loschen, Rebekka and Letzner, Sara}, title = {Publikationen in der Forschungsevaluation - Eine Handreichung f{\"u}r Wissenschaftsmanager*innen}, publisher = {Zenodo}, doi = {10.5281/zenodo.10474261}, year = {2024}, abstract = {Sollen Forschungsleistungen gemessen und bewertet werden, stellen Publikationen eines der wichtigsten Kriterien dar. Die Bibliometrie liefert eine Vielzahl von (absoluten, relativen, normalisierten) Indikatoren, die Wissenschaftsmanager*innen f{\"u}r Leistungstr{\"a}geranalysen oder Forschungsevaluationen heranziehen k{\"o}nnen. Um valide Aussagen {\"u}ber wissenschaftliche Leistungen vornehmen zu k{\"o}nnen, m{\"u}ssen bibliometrische Kennzahlen mit anderen Leistungskriterien in Bezug gesetzt werden und es sind viele Faktoren sowie Umst{\"a}nde zu ber{\"u}cksichtigen. Auf diese wird in der vorliegenden Handreichung eingegangen. Sie sollen Wissenschaftsmanager*innen das R{\"u}stzeug an die Hand geben, um bibliometrische Untersuchungen und deren Ergebnisse in dem jeweiligen Untersuchungsfall zielf{\"u}hrend einordnen zu k{\"o}nnen.}, language = {de} } @article{GeerkensSieberichsBraunetal.2024, author = {Geerkens, Simon and Sieberichs, Christian and Braun, Alexander and Waschulzik, Thomas}, title = {QI²: an interactive tool for data quality assurance}, series = {AI and Ethics}, journal = {AI and Ethics}, publisher = {Springer Nature}, issn = {2730-5961}, doi = {10.1007/s43681-023-00390-6}, year = {2024}, abstract = {The importance of high data quality is increasing with the growing impact and distribution of ML systems and big data. Also, the planned AI Act from the European commission defines challenging legal requirements for data quality especially for the market introduction of safety relevant ML systems. In this paper, we introduce a novel approach that supports the data quality assurance process of multiple data quality aspects. This approach enables the verification of quantitative data quality requirements. The concept and benefits are introduced and explained on small example data sets. How the method is applied is demonstrated on the well-known MNIST data set based an handwritten digits.}, language = {en} } @misc{Musall2024, author = {Musall, Eike}, title = {Suffizienz als Ausweg?!}, series = {Klimafreundlich bauen, 2024: Magazin f{\"u}r Passivhaus \& Co}, volume = {19}, journal = {Klimafreundlich bauen, 2024: Magazin f{\"u}r Passivhaus \& Co}, number = {2024}, editor = {Laible, Johannes}, publisher = {Laible Verlagsprojekte}, isbn = {978-3-944549-51-4}, pages = {30 -- 33}, year = {2024}, language = {de} }