This thesis employs the idea of developing a hardware platform for a ROS-based autonomous street vehicle at 1:87 scale. First of all possible concepts and components for processing units and sensors are presented and discussed, then a concrete implementation is built upon these. By using a Raspberry Pi Compute Module 4 next to two machine learning accelerators the vehicle has the resources to allow even advanced algorithms for autonomous driving in a miniature world.