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PublicationGet ahead of the Situation: Simulation of Cross-Sectoral Cascading Effects during a Crisis( 2023)In recent years, the frequency and severity of extreme weather events has been steadily increasing. Due to the often-exposed location of critical infrastructures, extreme weather events pose a serious threat to them. As supply networks become increasingly interconnected with multiple critical infrastructures, the occurrence of cascading effects does not only lead to further failures within a specific sector but can introduce severe consequences to adjacent sectors as well. In parallel, critical infrastructures must be regarded as socio-technical systems which not only supply people but are also operated by people. During stressful situations like extreme weather events, it is therefore mandatory to obtain a comprehensive assessment for enabling quick and coordinated countermeasures to minimize damage to critical infrastructure, establish a rapid emergency supply and prepare for reconstruction. This paper presents a concept to reproduce cross-sectoral cascading effects through coupled simulations of individual supply networks. The results of the individual simulations of the different sectors are bundled and interlinked in an overall platform able to trigger subsequent simulations. To represent both anticipated and unforeseen cascading effects, the interfaces between the simulations must be carefully defined and implemented. The results of the overall platform will be incorporated into a demonstrator that will provide a training environment for emergency forces and network operators in which communication during the crisis can be practiced, security measures can be pre-thought, and vulnerable nodes can be identified.
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PublicationEfficient Global Occupancy Mapping for Mobile Robots using OpenVDB( 2022)In this work we present a fast occupancy map building approach based on the VDB datastructure. Existing log- odds based occupancy mapping systems are often not able to keep up with the high point densities and framerates of modern sensors. Therefore, we suggest a highly optimized approach based on a modern datastructure coming from a computer graphic background. A multithreaded insertion scheme allows occupancy map building at unprecedented speed. Multiple optimizations allow for a customizable tradeoff between runtime and map quality. We first demonstrate the effectiveness of the approach quantitatively on a set of ablation studies and typical benchmark sets, before we practically demonstrate the system using a legged robot and a UAV.
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PublicationLademanagementmethode für Elektrofahrzeuge zur Senkung von Installations- und Betriebskosten von Ladepunkt-Gruppen( 2022)Der notwendige Ausbau der Ladeinfrastruktur aufgrund der zunehmenden Verbreitung von Elektrofahrzeugen stellt die elektrische Energieversorgung mit ihrer vorzuhaltenden Infrastruktur vor wachsenden Herausforderungen. Beispielsweise wird die Installation neuer Ladepunkte innerhalb eines bestehenden Objektes häufig mit einer Ertüchtigung der lokalen elektrischen Infrastruktur und folglich mit zusätzlichen Investitionskosten verbunden sein. Zudem führt das elektrische Laden der Elektrofahrzeuge zu neuen Lastmustern, so dass sich für ein betreffendes Objekt der bisher bekannte elektrische Lastgang des Netzanschlusspunktes signifikant ändert. Im unvorteilhaften Fall einer ungesteuerten Parallelladung von mehreren Elektrofahrzeugen kann es zeitweilig zu einem erheblichen höheren Viertelstundenleistungsbedarf kommen, sodass sich dementsprechend die leistungsbezogenen Kostenanteile und somit auch die gesamten Energiebezugskosten für das betreffende Objekt erhöhen. Diesem Defizit können Ansätze zur gesteuerten und koordinierten Nachladung von Elektrofahrzeugen entgegenwirken, die sowohl eine Minimierung der Installations-als auch der Betriebskosten in Aussicht stellen. Im Rahmen des Beitrages werden konventionelle Methoden zum Last-bzw. Leistungsmanagement für Elektrofahrzeuge mit neuartigen Optimierungsansätzen gegenübergestellt, analysiert und verglichen.
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PublicationSET-260: A Measurement Campaign for EO/IR Signatures of UAVs( 2021)
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PublicationA Short Note on Analyzing Sequence Complexity in Trajectory Prediction Benchmarks( 2020)The analysis and quantification of sequence complexity is an open problem frequently encountered when defining trajectory prediction benchmarks. In order to enable a more informative assembly of a data basis, an approach for determining a dataset representation in terms of a small set of distinguishable prototypical sub-sequences is proposed. The approach employs a sequence alignment followed by a learning vector quantization (LVQ) stage. A first proof of concept on synthetically generated and real-world datasets shows the viability of the approach.
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PublicationThe ERNST mission: MWIR imaging and advanced technology demonstration in a 12 U nanosatellite( 2019)
