A fundamental for an automated driving car is the awareness of its surrounding road participants. Current approach to gather this awareness is to sense the environment by on-board sensors. In the future, Vehicle-to-X (V2X) might be able to improve the awareness. We propose to create synthetic data for investigating cooperative perception by a simulation tool. Therefore, Artery and its counterpart SUMO is extended by modelling realistic vehicle dynamics and probabilistic sensor models.

This article investigates the properties of dielectric corner reflectors for use in a number of millimeter wave applications, such as road safety for autonomous driving. Material characterizations of different typical plastics using transmission measurements are presented, as well as an analysis of their respective radar cross section (RCS) when used as corner reflectors. They exhibit similar behavior as conventional metallic reflectors, while intrinsic dielectric losses reduce the overall RCS.