Vehicle safety promises to be one of the Advanced Driver Assistance System’s (ADAS) biggest benefits. Higher levels of automation remove the human driver from the chain of events that can lead to a crash. Sensors play an influential role in vehicle driving as well as in ADAS by helping the driver to watch the vehicle’s surroundings for safe driving. Thus, the driving load is drastically reduced from steering as well as accelerating and braking for long-term driving. The baseline for the development of future intelligent vehicles relies even more on the fusion of data from surrounding sensors such as Camera, LiDAR and Radar. These sensors not only need to perceive in clear weather but also need to detect accurately adverse weather and illumination conditions. Otherwise, a small error could have an incalculable impact on ADAS. Most of the current studies are based on indoor or static testing. In order to solve this problem, this paper designs a series of dynamic test cases with the help of outdoor rain and intelligent lightning simulation facilities to make the sensor application scenarios more realistic. As a result, the effect of rainfall and illumination on sensor perception performance is investigated. As speculated, the performance of all automotive sensors is degraded by adverse environmental factors, but their behaviour is not identical. Future work on sensor model development and sensor information fusion should therefore take this into account.

Vehicle safety promises to be one of the Advanced Driver Assistance System (ADAS) biggest benefits. Higher levels of automation remove the human driver from the chain of events that can lead to a crash. Sensors play an influential role in vehicle driving as well as in ADAS by helping the driver to watch the vehicle’s surroundings for safe driving. Thus, the driving load is drastically reduced from steering as well as accelerating and braking for long-term driving. The baseline for the development of future intelligent vehicles relies even more on the fusion of data from surrounding sensors such as Camera, Lidar and Radar. These sensors not only need to perceive in clear weather but also need to detect accurately adverse weather and illumination conditions. Otherwise, a small error could have an incalculable impact on ADAS. As most of the current study is based on indoor or static testing. In order to solve this problem, this paper designs a series of dynamic test cases with the help of outdoor rain and intelligent lightning simulation facilities to make the sensor application scenarios more realistic. As a result, the effect of rainfall and illumination on sensor perception performance is investigated. As speculated, the performance of all automotive sensors is degraded by adverse environmental factors, but their behaviour is not identical. Future work on sensor model development and sensor information fusion should therefore take this into account.

Duncker & Humblot - Berlin. Ein Forum für die Wissenschaft seit 1798

Riding a motorbike is characterized by permanent dynamics. In motorcycle racing the rider plays an important role in terms of its riding style -- the relative position of the rider in different riding situations on the racetrack. From an engineering point of view the riding style has a huge impact on the center of gravity position of the overall racebike and rider system. The different rider positions also have a strong impact on the aerodynamics of the overall racebike and rider system. Additional changes during a race or test day due to external influences or internal signs of wear and tear must be considered -- this applies to the rider as well as to components of the motorbike. This paper is based on the PhD thesis of Feichtinger and presents the dynamic racebike state plot as well as the derived quantity chi as representative characteristic for the dynamic of a racebike. This diagram was developed as a basis for all further analyses and investigations. It helps to identify and compare different motorbike variations and different rider types.

In den letzten Jahren hat die Thematik Agilität verstärkt Eingang in die betriebswirtschaftliche Forschung und Praxis gefunden. Vor dem Hintergrund der sich stetig ändernden Kundenanforderungen sind Unternehmen gezwungen, ihre Unternehmensstrukturen sowie ihr Produkt- bzw. Dienstleistungsportfolio anzupassen. Um dem Wettbewerb auf dem Markt standzuhalten, müssen agile Methoden gezielt eingesetzt ­werden, damit auf Kundenanforderungen und Fehler schnell reagiert werden kann. In diesem Zusammenhang rückt die OKR-Methodik in den Fokus, um schnell auf neue ­Gegebenheiten reagieren zu können. Im Folgenden soll im Speziellen die Thematik „OKR in der Unternehmensführung“ betrachtet werden.