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

Keysight Technologies, Inc. (NYSE: KEYS), a leading technology company that
delivers advanced design and validation solutions to help accelerate
innovation to connect and secure the world, has introduced the Radar Scene
Emulator, which enables automakers to lab test complex, real-world driving
scenarios, accelerating the overall speed of test. Keysight will demonstrate
the new Radar Scene Emulator for the first time at CES 2022, Booth #4169,
Las Vegas Convention Center, West Hall.

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 driving 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.
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.
“Keysight’s Radar Scene Emulator offers automotive OEMs a breakthrough
solution that will bring the road to the lab through full scene rendering,”
said Thomas Goetzl, vice president and general manager for Keysight’s
Automotive & Energy Solutions business unit. “The vision of fully autonomous
vehicles is rapidly approaching, and we’re thrilled to be accelerating this
vision into a reality.”

Keysight’s Radar Scene Emulator is part of the company’s Autonomous Drive
Emulation (ADE) platform, created through a multi-year collaboration between
Keysight, IPG Automotive and Nordsys. The ADE platform exercises ADAS and AD
software through the rendering of predefined use cases that apply
time-synchronized inputs to the actual sensors and subsystems in a car, such
as the global navigation satellite system (GNSS), vehicle to everything
(V2X), camera and radar. As an open platform, ADE enables automotive OEMs,
and their partners, to focus on the development and testing of ADAS/AD
systems and algorithms, including sensor fusion and decision-making
algorithms. Automotive OEMs can integrate the platform with commercial 3D
modeling, hardware-in-the-loop (HIL) systems and existing test and
simulation environments.

“Automotive companies understand the complexity involved with testing
autonomous driving algorithms and the quality issues that can result if that
testing falls short,” said Cheryl Ajluni, director of Automotive Solutions
Marketing at Keysight. “Keysight’s new Radar Scene Emulator, with its
unmatched level of resolution, represents a significant leap forward for
ADAS/Autonomous driving developers who value safety first.”

Additional Information

More information about Keysight’s Radar Scene Emulator is available here.
Editorial Backgrounder is available here.
Images are available here.
About Keysight Technologies

Keysight delivers advanced design and validation solutions that help
accelerate innovation to connect and secure the world. Keysight’s dedication
to speed and precision extends to software-driven insights and analytics
that bring tomorrow’s technology products to market faster across the
development lifecycle, in design simulation, prototype validation, automated
software testing, manufacturing analysis, and network performance
optimization and visibility in enterprise, service provider and cloud
environments. Our customers span the worldwide communications and industrial
ecosystems, aerospace and defense, automotive, energy, semiconductor and
general electronics markets. Keysight generated revenues of $4.9B in fiscal
year 2021. For more information about Keysight Technologies (NYSE: KEYS),
visit us at www.keysight.com.

Additional information about Keysight Technologies is available in the
newsroom at https://www.keysight.com/go/news and on Facebook, LinkedIn,
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