  Augmenting automated vehicles to wirelessly detect and respond to external
events before they are detectable by onboard sensors is crucial for developing
context-aware driving strategies. To this end, we present an automated vehicle
platform, designed with connectivity, ease of use and modularity in mind, both
in hardware and software. It is based on the Kia Soul EV with a modified
version of the Open-Source Car Control (OSCC) drive-by-wire module, uses the
open-source Robot Operating System (ROS and ROS 2) in its software
architecture, and provides a straightforward solution for transitioning from
simulations to real-world tests. We demonstrate the effectiveness of the
platform through a synchronised driving test, where sensor data is exchanged
wirelessly, and a model-predictive controller is used to actuate the automated
vehicle.
