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Martin Ernst Heckmann, Heiko Wersing, Dennis Orth, Dorothea Kolossa, Nadja Schömig, Christian Maag, Mark Dunn , "Towards an On Demand Intersection Assistant: Initial User Acceptance and System Development ", FAST-zero17, 2017.
AbstractIn recent years many new Advanced Driver Assistance Systems have been presented. These systems aim to support the driver in the driving task and to reduce her cognitive load. However, as these systems usually do not work flawlessly they also can lead to distraction and annoyance of the driver due to undesired warnings. In an attempt to overcome these limitations we recently developed the concept of “Assistance on Demand”. This describes an advanc...
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Dennis Orth, Nadja Schömig, Christian Mark, Monika Jagiellowicz-Kaufmann, Dorothea Kolossa, Martin Ernst Heckmann , "Benefits of Personalization in the Context of a Speech-Based Left-Turn Assistant", Proceedings of the 9th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’17), pp. 193-201, 2017.
AbstractWe have previously introduced a novel Assistance On Demand (AOD) concept in the context of an urban speech-based left-turn assistant which supports the driver in monitoring and decision making by providing recommendations for suitable time gaps to enter the intersection. In a first user study participants showed a clear preference for the AOD system, yet also frequently mentioned that the recommended gaps did not fit their driving behavior. In...
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Muhammad Haris, Benjamin Metka, Mathias Franzius, Ute Bauer-Wersing , "Condition Invariant Visual Localization Using Slow Feature Analysis", New Challenges in Neural Computation (NC2), 2017.
AbstractIn outdoor scenarios varying environmental conditions like seasonal, weather and lighting effects have a strong impact on the ap- pearance which often prevents successful localization. A spatial represen- tation of the environment can be learned by applying unsupervised Slow Feature Analysis (SFA) directly to images captured by a mobile robot. However, effects that change on a slower or equal timescale than the robot’s position during learn...
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Steffen Limmer and Tobias Rodemann , "Multi-objective Optimization of Plug-in Electric Vehicle Charging Prices", Proceedings IEEE SSCI 2017, pp. 2853-2860, 2017.
AbstractWith the increasing penetration of plug-in electric vehicles (PEVs), the operation of public charging stations becomes a more and more interesting business case. For such a public charging station a dynamic pricing scheme can help to react to varying operation costs and to encourage customers to extend their charging deadlines. We propose a framework for the selection of dynamic prices with respect to the following three objectives: max...
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Antonello Ceravola , "Managing the Increasing System Complexity with Model Based Development", Model-based development for complex systems, Berlin, Germany, 2017.
AbstractIn the last 15 years Honda Research Institute Europe invested a substantial effort in understanding and experimenting how software development integration environments play a role in designing and developing complex, parallel, real-time, intelligent systems. Our investigation encompasses methodologies, processes, software frameworks, functionalities, technical implementation and the actual coding process. The result shows that a holistic approach...
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Julian Eggert and Tim Puphal , "Continuous Risk Measures for ADAS and AD", FAST-zero Symposium 2017, 2017.
AbstractIn this paper, we compare three different model-based risk measures by evaluating their stengths and weaknesses qualitatively and testing them quantitatively on a set of real longitudinal and intersection scenarios. We start with the traditional heuristic Time-To-Collision (TTC), which we extend towards 2D operation and non-crash cases to retrieve the Time-To- Closest-Encounter (TTCE). The second risk measure models position uncertainty with a ...
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Julian Eggert, Daniela Aguirre Salazar, Tim Puphal, Benedict Flade , "Driving Situation Analysis with Relational Local Dynamic Maps (R-LDM) ", FAST-zero Symposium 2017, 2017.
AbstractIn the automotive domain, the concept of Local Dynamic Maps (LDM) is currently used to describe a central storage place where static, quasi-static and dynamic road information is integrated by means of a common coordinate reference. In this paper, we argue that future ADAS and AD applications concentrating on driving situation analysis will require, instead of a layered, a fully interconnected graph-based approach, which we propose here in form o...
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Elena Raponi, Mariusz Bujny, Markus Olhofer, Nikola Aulig, Simonetta Boria, Fabian Duddeck , "Kriging-guided Level Set Method for Crash Topology Optimization", 7th GACM Colloquium on Computational Mechanics , 2017.
AbstractCrashworthiness optimization problems are characterized by strong nonlinearities and discontinuities. Hence, gradient-based methods cannot be used and alternative approaches have to be considered. Here, a novel, kriging-based method for level set topology optimization is proposed and validated on a crash test case. Compared to CMA-ES, this method demonstrates to be efficient in terms of convergence speed and promising in the context of crash topo...
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Tobias Rodemann , "Modell-basierte Entwicklung eines Smart Company Systems ", ESI User Forum , 2017.
AbstractDie Mobilität der Zukunft soll durch elektrisch angetriebene Fahrzeuge mit Batterien oder Brennstoffzellen bereitgestellt werden. Grüner Strom würde dann durch erneuerbare Energieträger wie Photovoltaik und Wind erzeugt, die ein hohes Mass an Volatität ausweisen. Damit rücken die Themen elektrische Mobilität und Energienetzwerke enger zusammen und erfordern eine integrierte Betrachtung. Um verschiedenste Aspekte dieser neuen vernetzten Systeme b...
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Johannes Silberbauer, Benedict Flade, Stephan Hasler, Malte Probst , Julian Eggert , "Strategies for Improving Camera to Map Alignment", Workshop New Challenges in Neural Computation (NC2), 2017.
AbstractAccurate localisation of the ego vehicle relative to the map is a key requirement for most advanced driver assistance systems (ADAS). Building on a previous approach that aligns monocular camera images to perspectivly rendered Open Street Map (OSM) data we introduce a way to apply machine learning (ML) in that context. To that end we compare two strategies for improving the previous approach: First, we enhance the original feature extraction step...
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