Titlebook: Cooperatively Interacting Vehicles; Methods and Effects Christoph Stiller,Matthias Althoff,Frank Flemisch Book‘‘‘‘‘‘‘‘ 2024 The Editor(s)

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https://doi.org/10.1007/978-3-030-76670-2cially in urban areas, VRUs, e.g., pedestrians and cyclists, will continue to play an essential role in mixed traffic. For an accident-free and highly efficient traffic flow with automated vehicles, it is vital to perceive VRUs and their intentions and analyze them similarly to humans when driving a

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Martijn P. Gosselink,Heeva Baharlouse for unsignalized intersections where the . rule applies. At these intersections, ambiguous situations can arise. In this chapter, we cover two aspects of this intersection type: First, we use driving data from a field study conducted in inner city traffic to analyze the relationship between inter

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Roberto Dino Villani,Daniela Di Nicolaieve high accuracy for vision-based object detection, but are strongly affected by adverse weather conditions such as rain, snow, and fog, as well as soiled sensors. We propose physically correct simulations of these conditions for vision-based systems, since publicly available data sets lack scenar

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Roberto Dino Villani,Daniela Di Nicolans: sensor data sharing and maneuver coordination. Based on the current state of the art in research and pre-standardization of V2X communications, we enhance the protocol design for both services and assess their performance by discrete-event simulations in highway and city scenarios. The first par

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Roberto Dino Villani,Daniela Di Nicolahe complexity, state-of-the-art planning approaches often assume that the future motion of surrounding vehicles can be predicted independently of the AV’s plan. This separation can lead to suboptimal, overly conservative behavior especially in highly interactive traffic situations. In this work, we

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