Search our Publications
Latest Publications
Julian Eggert , "Applying Crash Data to Injury Claims", Accident Analysis and Prevention, vol. 113, pp. 244-256, 2018.
AbstractAn extensive number of research studies have attempted to capture the factors that influence the severity of vehicle impacts. The high number of risks facing all traffic participants, inclusive of pedestrians, motorised and non-motorised transport, has led to a gradual increase in sophisticated data collection schemes linking crash characteristics to subsequent severity measures. This study serves as a departure from previous research by relating...
Download Bibtex file
Nadja Schömig, Martin Ernst Heckmann, Heiko Wersing, Christian Maag, Alexandra Neukum , "“Please watch right” – Evaluation of a speech-based on-demand assistance system for urban intersections", Transportation Research F, 2018.
AbstractA driving simulator study evaluated a speech-based driver assistance system for urban intersections (called AoD system) which supports the driver in monitoring and decision making. The system provides recommendations for suitable time gaps to enter the intersection based on the observation of crossing traffic. Following an „on-demand“-concept, the driver activates the assistance only if support is desired. In one drive, drivers used the AoD syst...
Download Bibtex file
Steffen Limmer and Manuel Dietrich , "Optimization of Dynamic Prices for Electric Vehicle Charging Considering Fairness", 2018 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 2304-2311, 2018.
AbstractFor operators of public charging stations, it is economically reasonable to employ a dynamic pricing scheme in order to be able to react to varying operating conditions. However, dynamic prices may lead to the perception of price unfairness with negative consequences for the charging station operator’s profit. In this work, the evolutionary optimization of the price offers with respect to the expected profit and the fairness is studied. With the...
Download Bibtex file
Nikola Aulig, Satchit Ramnath, Emily Nutwell, Kurtis Horner , "Design Domain Dependent Preferences for Multi-disciplinary Body-in-White Concept Optimization", LS-Dyna Conference, 2018.
AbstractRecently methods for topology optimization are increasingly established in the virtual vehicle design process in the automobile industry. In particular a heuristic topology optimization process based on the assumption of uniform energy distribution throughout the structure combined with a scaled energy weighting approach was demonstrated to successfully to provide concepts for vehicle structures subject to static...
Download Bibtex file
Satchit Ramnath, Emily Nutwell, Nikola Aulig, Kurtis Horner , "Detail Design Evaluation of Extruded Sections on a Body-in-White Concept Model", LS-Dyna Conference 2018, 2018.
AbstractTopology optimization allows for the design of structures with an optimum distribution of material for a given set of load cases. In the past, it has been shown that topology optimization can be implemented for a design space representing a body-in-white vehicle structure undergoing multiple load requirements. Using a Hybrid Cellular Automata algorithm along with a scaled energy weighting approach, both the objective of maximizing stiffness as we...
Download Bibtex file
Guo Yu, Yaochu Jin, Markus Olhofer , "A Method for a Posteriori Identification of Knee Points Based on Solution Density", 2018 World Congress on Computational Intelligence, 2018.
AbstractMany evolutionary algorithms have been proposed and demonstrated to have excellent performance in striking a balance between convergence and diversity in dealing with multi-objective optimization problems. However, little attention has been paid to the decision making stage where a small number of solutions are selected to be presented to the user. It is believed that knee points are considered to be the naturally preferred solutions when no spec...
Download Bibtex file
Raphael Wenzel , "Predictive trajectory planning for lag compensation in a longitudinal and lateral vehicle control system", HRI-EU, 2018.
AbstractThis work is concerned with the implementation of a Motion Planning approach to an existing proto- type vehicle at HRI Europe. The platform vehicle uses a special actuator architecture which has to be accounted for in the motion planning task, since it introduces additional delays in the actuation path. Previous projects found the existing dead times and delays inherent to the autonomous vehicle’s ac- tuation system to be responsible for the ...
Download Bibtex file Per Mail Request
Christian Limberg, Heiko Wersing, Helge Ritter , "Efficient Accuracy Estimation for Instance-Based Incremental Active Learning", European Symposium on Artificial Neural Networks, pp. 171-176, 2018.
AbstractEstimating systems accuracy is crucial for applications of in- cremental learning. In this paper, we introduce the Distogram Estimation (DGE) approach to estimate the accuracy of instance-based classifiers. By calculating relative distances to samples it is possible to train an offline regression model, capable of predicting the classifiers accuracy on unseen data. Our approach requires only a few supervised samples for training and can ins...
Download Bibtex file
Tobias Rodemann and René Unger , "Smart Company Digital Twin - Supporting Controller Development and Testing Using FMI ", Japanese Society of Automotive Engineers Spring Meeting, 2018.
AbstractThe challenges of reducing greenhouse gases (GHG) are approached on many fronts, from electrification of mobility to energy management in buildings, and smart grids for more efficient operation of energy production and distribution networks. Considered in isolation these efforts may be inefficient and might even result in severe instabilities of the grid. Fortunately, when integrating electric mobility, smart buildings and smart grids the integra...
Download Bibtex file
Sander van Rijn, Sebastian Schmitt, Thomas Bäck, Markus Olhofer, Matthijs van Leeuwen , "Multi-fidelity surrogate model approach to optimization", GECCO 2018, 2018.
AbstractGaussian Process regression, also known as Kriging, has established itself as a valuable surrogate model for computationally expensive optimization problems. An extension of this is \textit{co-Kriging} whereby the response surface between evaluation methods of varying fidelity is modelled, as multiple fidelities are usually available when the evaluation is based on numerical simulations. Only recently has the use of Radial Basis Functions (RBF) b...
Download Bibtex file
1 ... 83 84 85 86 87 88 ... 183
Follow us
