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4D Imaging Radar Looks to Advance ADAS and Level 5 Automation

The "fourth dimension" improves radar accuracy in driver-assistance and self-driving systems. Several companies are pushing it forward with recent introductions.

www.electronicdesign.com, Jan. 04, 2021 – 

In contrast to cameras and LiDAR, 4D imaging radar uses echolocation and the principle of time-of-flight measurement to find things in its environment. It works well in all weather and environment conditions, including fog, heavy rain, and darkness. 4D imaging radar can tell when a car is moving and at what speed in a full white-out snowstorm. It also has the benefit of sensing out to 300 meters–a requirement for higher levels of automation.

4D is called 4D because it's a high-resolution long-range radar sensor that not only detects the distance, relative speed, and azimuth (an angular measurement in a spherical coordinate system) of objects, but also their height above road level.

Time is considered the fourth dimension (4D). These radars aren't really mapping time, but rather utilize time to understand the 3D environment with regards to elevation. This can help a car decide whether a stationary object up ahead is a person or a tree branch.

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