TY - GEN A1 - Löffler, Sven A1 - Hofstedt, Petra T1 - A constraint-based greedy-local-global search for the warehouse location problem T2 - IFIP Advances in Information and Communication Technology Y1 - 2024 SN - 9783031632181 U6 - https://doi.org/10.1007/978-3-031-63219-8_22 SN - 1868-4238 SP - 291 EP - 304 PB - Springer Nature Switzerland CY - Cham ER - TY - GEN A1 - Frank, Florian A1 - Buckel, Peter A1 - Hoegner, Ludwig A1 - Hofstedt, Petra T1 - A landmark selection method for object-based visual outdoor localization approaches of automated ground vehicles T2 - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences N2 - Autonomous vehicles must navigate independently in an outdoor environment using features or objects. However, some objects may be more or less suitable for localization due to their attributes. Therefore, this work investigates the suitability of landmarks for camera- and object-based outdoor localization methods. First, object attributes are methodically derived from the requirements of object-based localization. The physical representation on the camera image plane, probability of occurrence, and persistence were identified as influencing the object localization suitability. The influence of the object’s camera image plane representation regarding object recognition algorithms is not considered or discussed, but advice on the minimum object pixel size is provided. The first milestone was the creation of an equation for object localization suitability calculation by normalizing and multiplying the identified attributes. Simultaneously, potential objects from the outdoor environment were identified, resulting in a structured object catalog. The results of the equation and catalog are a ranked according to the object localization suitability in a comparison table. Our comparison demonstrates that objects such as buildings or trees are more suitable than street lane markings for self-localization. However, most current datasets do not include the proposed instantiated objects. The paper addresses this issue, assists in the object selection for outdoor localization methods and provides input for the creation of future-oriented datasets and autonomous driving maps. Y1 - 2024 U6 - https://doi.org/10.5194/isprs-annals-X-4-W5-2024-163-2024 SN - 2194-9050 SP - 163 EP - 169 PB - Copernicus GmbH ER - TY - GEN A1 - Löffler, Sven A1 - Hofstedt, Petra T1 - An enhanced constraint-based approach for automating digital signal placement in railway digitalization T2 - SN Computer science N2 - The goal of digitalization is to standardize processes and reduce resource consumption. However, achieving this goal often requires substantial intellectual and resource-intensive investments. In this work we fokus on the automatic placement of digital signals at appropriate distances from existing switches along station tracks, replacing analog signals. In contrast to previous approaches, we extend the problem scope to better reflect real-world application scenarios by supporting multiple entry and exit tracks as well as bidirectional train movements. We formulate a constraint problem to define the problem and introduce methods to accelerate the solution process, making it scalable to large problem instances. The proposed approach is validated through a series of tests generated by our newly developed problem generator, illustrating its applicability to real-world challenges. KW - Constraint Programming KW - Railway Digitalization Y1 - 2025 U6 - https://doi.org/10.1007/s42979-025-04233-5 SN - 2661-8907 VL - 6 SP - 1 EP - 17 PB - Springer Singapore CY - Singapore ER -