L2+ systems like highway automated driving remain too expensive and functionally limited for widespread use. A key limitation is still the resolution and range at which radar sensors can detect and separate objects. While this challenge has traditionally been addressed by adding more antenna channels, this approach is reaching practical limits on size, power, and cost. Distributed Aperture Radar (DAR) technology overcomes this limitation by using multiple Medium Range Radar (MRR) sensors coherently as a single radar system. DAR makes it possible to create significantly larger apertures, enabling azimuth resolutions of 0.2 degrees or better and accuracy of 0.03 degrees or better, surpassing imaging radar capabilities. This can be achieved with minimal power consumption (5-10 W) and the cost of only a few standard MRRs. We show real-world resolution and accuracy performance through corner reflector and scenario measurements, demonstrating the ability to solve challenging radar scenarios even beyond 200 meters. In the long run, the DAR approach can remove the need for lidar in ADAS systems.