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Community composition and ecosystem processes during succession may be driven partly by traits of plant species that attain dominance. Here, we addressed the hypothesis that Stipa pulcherrima, the dominant grass of abandoned continental grasslands, controls seedling recruitment of co-occurring species through chemical effects of its litter. Eight species(More)
— This contribution proposes a model-based predic-tive control approach for combined longitudinal and lateral vehicle guidance. The controller, which has been designed for an automotive collision avoidance system, aims at following a desired evasion trajectory at the handling limits. Thereby, the trajectory following problem is decomposed in a path(More)
Predictive and energy efficient driving styles considerably reduce fuel consumption and emissions of vehicles. Vehicle-to-vehicle and vehicle-to-infrastructure (V2X) communication provide information useful to further optimize fuel economy especially in urban conditions. This work summarizes an optimization approach integrating V2X information in the(More)
The deployment of predictive driving styles reduces fuel consumption of vehicles significantly, while assistance systems can support drivers in this task. This paper describes a modular approach to consider various sources of information as well as different driver and vehicle types in the prediction and the optimization of the vehicle's longitudinal(More)
This work describes a methodology to assess the impact of positioning and prediction accuracy on the potential benefit of collision avoidance systems. The predicted position of vulnerable road users (VRU) ahead of the vehicle is affected by measurement and prediction uncertainty. In advanced cooperative collision avoidance systems the position of VRUs is(More)
The use of driver models within advanced driver assistance systems (ADAS) allows anticipating the driving behavior of the vehicle and all traffic participants in the close vicinity. This valuable information could considerably improve the performance as well as the acceptance of ADAS. Consequently complex driver models need to be integrated in embedded(More)