Adrian Zlocki

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OBJECTIVE State-of-the-art collision avoidance and collision mitigation systems predict the behavior of pedestrians based on trivial models that assume a constant acceleration or velocity. New sources of sensor information-for example, smart devices such as smartphones, tablets, smartwatches, etc.-can support enhanced pedestrian behavior models. The(More)
Current advanced driver assistance systems (ADAS) for lateral support are based on optical sensors for environmental detection. Due to different influences e.g. bad sight conditions or missing lane markings, theses systems might not be able determine the necessary information. In order to improve the availability and reliability of camera based ADAS systems(More)
Automated valet parking can help manage space in parking garages more efficiently and increase the comfort for the driver by delegating the parking task to the system. To successfully navigate the vehicle in a parking garage, the valet parking system requires a-priori information about the environment. This paper shows an approach to derive a-priori(More)
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