Christoph Steup

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By 2012 the U.S. military had increased its investment in research and production of unmanned aerial vehicles (UAVs) from $2.3 billion in 2008 to $4.2 billion [1]. Currently UAVs are used for a wide range of missions such as border surveillance, reconnaissance, transportation and armed attacks. UAVs are presumed to provide their services at any time, be(More)
We propose a cyber-physical platform that combines road traffic simulation, network simulation, and physically simulated vehicles to facilitate extensive testing on various levels of vehicular systems. Our design integrates physical and digital vehicle simulation into a common development and testing environment. This paper describes the platform design and(More)
The idea of “smart sensing” includes a permanent monitoring and evaluation of sensor data related to possible measurement faults. This concept requires a fault detection chain covering all relevant fault types of a specific sensor. Additionally, the fault detection components have to provide a high precision in order to generate a reliable(More)
The variable acquisition of distributed sensor perception promises an effective utilization of these data across different applications. Multiple observations enable an increase in the quality of the system output. However, the dynamic composition disables all off-line optimization approaches, especially for sensor-application-scheduling. This paper(More)
The effects of globalisation and information welfare combined with the increasing mobility of individuals lead to a number of challenges to modern states. In order to guarantee a smooth, secure, uninterrupted organisational flow, governments and their subsidiaries need to cooperate and exchange data on individuals and organisations across national borders.(More)
The Carolo-Cup competition conducted for the eighth time this year, is an international student competition focusing on autonomous driving scenarios implemented on 1:10 scale car models. Three practical sub-competitions have to be realized in this context and represent a complex, interdisciplinary challenge. Hence, students have to cope with all core topics(More)
The concept of an adaptive acquisition of environment data in distributed scenarios promises a number of benefits. If an application aggregates and uses all available sensing information in an intelligent environment it may provide a higher precision and an increased fault-tolerance. Unfortunately, the application developer has to cope with a number of(More)
The concepts of “Industry 4.0” are founded on Cyber-Physical Systems (CPS) that interact flexibly with each other. The system is no longer an individual robot equipped with a predefined set of sensors, drives and manipulators. Furthermore, it represents a task-specific selection of all available CPS in a certain area. This adaptive composition(More)
This paper presents the Energy Aware PSO (EAPSO) as a search mechanism for aerial micro-robots with limited energy capacity. The proposed model is an extension of the search concept of Particle Swarm Optimization (PSO) that additionally considers the energy levels of the individuals for an efficient movement. One major contribution of this paper is that the(More)