Keysight Introduces Radar Scene Emulator Solution to Accelerate Path to Full Vehicle Autonomy

Wednesday, Jul 6, 2022

Keysight Technologies has introduced the Radar Scene Emulator which enables automakers to lab test complex, real-world driving scenarios, accelerating the overall speed of test. Full-scene emulation in the lab is critical to developing the robust radar sensors and algorithms needed to realize advanced driver assistance systems (ADAS)/autonomous driving (AD) capabilities. Keysight’s full-scene emulator combines hundreds of miniature radio frequency (RF) front ends into a scalable emulation screen representing up to 512 objects and distances as close as 1.5 meters.

Automotive companies understand how complex it is to test autonomous driving algorithms, and the safety issues at stake. Using full scene rendering that emulates near and far targets across a wide continuous field of view (FOV), Keysight’s Radar Scene Emulator enables customers to rapidly test automotive radar sensors integrated in autonomous drive systems with highly complex multi-target scenes.

Keysight’s Radar Scene Emulator employs patented technology that shifts from an approach centered on object detection via target simulation to traffic scene emulation, offering automotive OEMs the following key benefits:

• See the big picture: The Radar Scene Emulator allows radar sensors to see more with a wider, continuous FOV and supports both near and far targets. This eliminates the gaps in a radar’s vision and enables improved training of algorithms to detect and differentiate multiple objects in dense, complex scenes. As a result, autonomous vehicle decisions can be made based on the complete picture, not just what the test equipment sees.
• Test real-world complexity: Testing radar sensors against a limited number of targets provides an incomplete view of driving scenarios and masks the complexity of the real-world. Keysight’s Radar Scene Emulator allows OEMs to emulate real-world driving scenes in the lab with variations of traffic density, speed, distance and total number of targets. Testing can be completed early for common to corner case scenes, while minimizing risk.
• Accelerate learning: Keysight’s Radar Scene Emulator provides a deterministic real-world environment for lab testing complex scenes that today can only be tested on the road. Its test approach allows OEMs to significantly accelerate ADAS/AD algorithm learning by testing scenarios earlier with complex repeatable high-density scenes, with objects stationary or in motion, varying environmental characteristics, while eliminating inefficiencies from manual or robotic automation. Keysight’s Radar Scene Emulator allows customers to lab test driving scenarios as complex as the real-world, while emulating up to 512 radar objects and distances as close as 1.5 meters.
• Improved scene resolution: The ability to distinguish between obstacles on the road needs to be tested for a smooth and fast transition towards vehicle autonomy (i.e., Level 4 and 5 autonomy as designated by the Society of Automotive Engineers (SAE)). Keysight addresses this technology gap with point clouds (multiple reflections per object) which improves resolution for each object.