Advanced Driver Assistance Systems (ADAS) are becoming increasingly complex as they advance from their simple origins of cruise control and parking assistance to fully autonomous driving. One of the challenges facing OEMs is that a combination of video, radar and lidar is needed to cover all operational conditions, which is expensive. This is because current radar sensors lack the imaging capability, 3D and 360° coverage that is available from lidar, but lidar does not work well at night or in fog so the two have to be used in conjunction with Video. This creates a problem of large amounts of data that needs to be processed in real time.
EnSilica eSi-ADAS™ RADAR Imaging Co-processor will accelerate the commercialization of autonomous vehicles by solving the current problem of radar data overload and resolution by handling this in a dedicated co-processor tha enables tracking of potentially hundreds of objects in real time.
It is claimed to have up to 20 times lower power requirements than today's lower resolution systems and lower system costs, as well as outperforming them in terms of speed and accuracy by up to 10 times.