What is the role of 4D imaging radar in next generation automotive sensing?

4D imaging radar plays a critical role in next generation automotive sensing by simultaneously measuring four dimensions: range (distance to target), radial velocity (Doppler speed), azimuth angle (horizontal position), and elevation angle (vertical position) of every detected object in the scene. This produces a dense 3D point cloud with per-point velocity information, bringing radar perception closer to the scene understanding capability previously achievable only with LiDAR while maintaining radar's inherent advantages of all-weather operation, direct velocity measurement, and lower cost. 4D imaging radar uses large MIMO antenna arrays (typically 12+ TX and 16+ RX channels creating 192+ virtual elements) to achieve angular resolution below 2 degrees in both azimuth and elevation, enough to distinguish pedestrians from vehicles, detect lane markings through enhanced reflectivity processing, and map the driving environment in three dimensions. The elevation dimension is critical for distinguishing overhead objects (bridges, signs, traffic lights) from road-level obstacles, solving one of traditional radar's biggest limitations for autonomous driving. Key 4D imaging radar products include Continental ARS540 (the first production automotive 4D imaging radar), Arbe Phoenix (2304 virtual channels), and ZF PREMIUM radar.