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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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PublicationGeneral Fail-Safe Emergency Stopping for Highly Automated Vehicles( 2019)From SAE level 3 onwards, automated vehicles must be able to resolve sudden system failures without driver intervention, including failure modes that are difficult or impossible to address by redundancy alone. Causes of hazardous multiple-point faults-beyond internal failures-include lightning strikes or deliberate attacks by electromagnetic pulses. Stopping the vehicle under such conditions is challenging: A full braking maneuver may risk rear-end collisions or loss of traction; likewise, any other constant braking profile will pose considerable risk of not achieving a true ""safe state"". This paper presents an emergency stopping system to execute a situation-dependent braking maneuver that can resolve system failures up to(but not limited to) a full electrics/electronics failure, with the aim of providing a baseline safety solution for all failure modes (short of mechanical failures) for which no dedicated solution is available. The system is composed of an electronic planning unit and a hydraulic/mechanical subsystem, both of which are implemented and tested in simulated and in real environments.
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PublicationThe ERNST mission: MWIR imaging and advanced technology demonstration in a 12 U nanosatellite( 2019)
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PublicationWie disruptiv sind Technologien?. Gedanken über ein Modewort im Kontext von Sicherheit und Verteidigung( 2018)Auch nach mehr als 20 Jahren und zahlreichen Veröffentlichungen zum Thema ist der Begriff der ""disruptiven Technologie"" (teilweise auch als ""disruptive Innovation"" bezeichnet) immer noch unscharf definiert und mit zahlreichen Facetten versehen. Von Christensen 1995 für Umwälzungen im Bereich der Privatwirtschaft eingeführt, wird er heute in mehreren Gebieten verwendet, die sich teilweise signifikant vom ursprünglichen Anwendungsbereich unterscheiden. Dazu zählen auch institutionell dominierte Bereiche, wie z.B. Raumfahrt, Sicherheit und Verteidigung, deren Marktstruktur anderen Gesetzmäßigkeiten unterliegt als klassische Märkte für Konsumgüter. Dementsprechend sind dort die Bedeutungen einer ""Disruption"" deutlich unterschiedlich zu jenen, die der ursprüngliche Begriff hatte. Die Käufer-Anbieter Interaktionen spielen sich im Bereich von Sicherheit und Verteidigung auf monopsonischen Märkten ab. Diese sind inhärent innovationsträge oder sogar innovationsresistent. Der Vortrag zeigt auf, welche Möglichkeiten existieren, diese Resistenzen zu überwinden, welcher Art die Disruptionen im Bereich von Sicherheit und Verteidigung sind und dass es i.a.R. mehr als nur der Technologien bedarf, um solche Unterbrechungen zu verursachen. Es wird untersucht, wie Innovationen auf dem Technology-Push- und dem Capability-Pull-Zweig gesucht werden können und wie sich daraus ein Top-Down-Verfahren zur Suche von disruptiven Technologien aufbauen lässt. Es zeigt sich, dass dieses Verfahren gleichzeitig zu einem Test von Strategien auf ihre Robustheit gegen Disruptionen verwendet werden kann. Im zweiten Teil des Vortrags werden mögliche Beiträge der Fraunhofer VVS-Institute zu diesem Verfahren vorgestellt.
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PublicationPCFF: Plug & Control for flexible transport equipment based on AutomationML( 2014)'Industrie 4.0' summarizes ideas, technologies, and methods to equip production resources, processes, and methods for future. One challenge is to deal with the growing amount of individualization of products [1]. Today modern production processes are monitored and controlled via process control systems or additional MES (Manufacturing Execution Systems. This results in a significant amount of engineering effort for these systems. Engineering is a creative process which involves many engineers, their knowledge, and experience. At the moment this complex activity is done manually and often results in high costs and a number of errors. Goal of the research project 'PCFF' of GEBHARDT Fördertechnik GmbH, cjt Systemsoftware AG, Fraunhofer IOSB, and KIT/IFL is to step towards 'Industry 4.0' in this context. The project started in 2013, ends in 2015, and is funded by the Federal Ministry for Economic Affairs and Energy (BMWi) (FKZ KF2074712KM2). The present paper discusses the basic concept and architecture and highlights first project results.
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PublicationOPC UA and AutomationML - collaboration partners for one common goal: Industry 4.0( 2014)OPC UA (OPC Unified Architecture) is a platform-independent standard series (IEC 62541) [1] for communication of industrial automation devices and systems. AutomationML (Automation Markup Language) is an upcoming open standard series (IEC 62714) [2] for describing production plants or plant components. The usage of both standards in combination and collaboration can create synergy and will lead to a wider acceptance and usability of both standards. Especially for Industry 4.0 both are enabling technologies and a combination of them is very promising. A joint working group of the AutomationML e.V. and the OPC Foundation deals with this topic since the beginning of 2014.
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PublicationAutomationML to describe skills of production plants based on the PPR concept( 2014)Flexibility and adaptability of production resources and production processes due to shortened product lifecycles and small lot sizes call for a virtual model of the production system which supports the time-consuming and error-prone re-engineering process. In such increasingly adaptive production systems, skills are used to describe generic capabilities of the production resources which can be matched to the requirements of the different production steps. The SkillPro1 project [1] aims to develop a holistic service-oriented framework for modelling and orchestration of modern adaptable production systems. This framework shall be based on standards, such as AutomationML and OPC UA.
