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OAFuser: Online Adaptive Extended Object Tracking and Fusion using automotive Radar Detections
(2020)
This paper presents the Online Adaptive Fuser: OAFuser, a novel method for online adaptive estimation of motion and measurement uncertainties for efficient tracking and fusion by applying a system of several estimators for ongoing noise along with the conventional state and state covariance estimation. In our system, process and measurement noises are estimated with steady-state filters to obtain combined measurement noise and process noise estimators for all sensors in order to obtain state estimation with a linear Minimum Mean Square Error (MMSE) estimator and accelerating the system’s performance. The proposed adaptive tracking and fusion system was tested based on high fidelity simulation data and several real-world scenarios for automotive radar, where ground truth data is available for evaluation. We demonstrate the proposed method’s accuracy and efficiency in a challenging, highly dynamic scenario where our system is benchmarked with Multiple Model filter in terms of error statistics and run time performance.
Our current mobility paradigm increasingly faces economic, ecological, and social limits in urban areas. The aim of this paper is to analyse if a fleet of shared autonomous electric vehicles (AEVs) can meet these challenges while satisfying the current requirements of privately-owned internal combustion engine vehicles (ICEVs). Therefore, analytical models have been developed to simulate and investigate the impacts of mobility behaviour in Berlin and Stuttgart (Germany). The collected data were used to calculate the fleet size, the energy consumption, the emission of particulate matter, nitrogen oxides, and the carbon footprint of different shared AEVs in comparison with privately owned ICEVs. The approach shows that the system of a shared AEV fleet could lower externalities (accident avoidance, traffic jams, free spaces, parking costs and lifetime losses) in cities and generate cost benefits for customers.
Kognitive Verhaltenstherapie (KVT) wird als psychotherapeutisches Verfahren am häufigsten in der Praxis angewendet. In der evangelischen Seelsorgelehre wurde diese Form der Therapie hingegen bislang in ihrer Vielfalt kaum angemessen wahrgenommen. Dem Anspruch der aktuellen Poimenik, verschiedene psychologische und psychotherapeutische Strömungen kritisch zu diskutieren und zu rezipieren, wird mit diesem dialogischen Ansatz Rechnung getragen. Der vorliegende Tagungsband versammelt die Beiträge namhafter Autoren aus den Bereichen der Psychologie, Psychotherapie und Seelsorgelehre. Er trägt damit wesentlich zum Schließen dieser Wahrnehmungs- und Forschungslücke bei. Im Fokus des Bandes stehen dabei die Fragen um Spiritualität und Sinn, die in den Feldern von Seelsorge und Psychotherapie disziplinübergreifend von Bedeutung sind.
Jugendhilfeplanung
(2020)