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SHARPEN YOUR ADAS RADAR VISION

With the Keysight Radar Scene Emulator

DOWNLOAD SAE SPECIAL REPORT





KEYSIGHT RADAR SCENE EMULATOR HONORED WITH TECH.AD EUROPE AWARD AND THE AMERICAN
BUSINESS AWARDS®





"We are honored to receive these prestigious industry awards. Full-scene
emulation in the lab is critical to developing the robust radar sensors and
algorithms needed to deploy advanced driver assistance systems (ADAS) and
autonomous driving (AD) capabilities."

Thomas Goetzl, Vice President and General Manager of Keysight’s Automotive &
Energy Solutions





WHY IT MATTERS

Autonomous driving algorithms have to be taught to make safe decisions by going
through intensive training on millions of complex driving scenes. Better trained
algorithms means better safety on the road. Hear how one Keysight expert
explains why the Radar Scene Emulator is so critical for automakers and vehicle
drivers and passengers alike.






SEE HOW THE RADAR SCENE EMULATOR CAN HELP YOU REALIZE ADAS / AV CAPABILITIES

Please join us for the virtual unveiling of the new Keysight Radar Scene
Emulator solution. This game-changing solution enables you to lab test complex,
real-world driving scenes by emulating up to 512 radar objects and distances as
close as 1.5 meters.


Keysight’s industry-first Radar Scene Emulator solution delivers performance
unmatched in the industry. It's a revolutionary step forward for autonomous
driving developers who value safety first.

Watch Keysight's virtual solution launch to learn how the Radar Scene Emulator
can help you develop the robust radar sensors and algorithms you need to realize
ADAS / AV capabilities on the path to full vehicle autonomy.

WATCH VIRTUAL LAUNCH
VIEW SOLUTION DETAILS






THE PEOPLE BEHIND RADAR SCENE EMULATOR

Our engineers behind the Keysight Radar Scene Emulator share what drove them to
create engineering magic.

 * CARRIE BROWEN, SOLUTION MANAGER
   
   
   
   
   
   CARRIE BROWEN, SOLUTION MANAGER
   
   The men and women that designed the radar scene emulation technology with the
   miniaturized radar target simulators (mRTS) say each one of these mRTS is
   like a pixel in a TV screen. In similar fashion, they’re assembled into a
   larger image—and that’s what the scene emulator is designed to do. So, each
   element is a pixel, or a radar pixel. Or maybe it’s a “rixel"?
   
   To introduce revolutionary technology, we need revolutionary words.
   

 * KHOUZEMA UNCHWANIWALA, R&D INTEGRATING MANAGER
   
   
   
   
   
   KHOUZEMA UNCHWANIWALA, R&D INTEGRATING MANAGER
   
   The Radar Scene Emulator is like virtual reality goggles for radar sensors
   and cars! Pretty cool huh? The excitement within the research team in
   Keysight is just very palpable.
   
   They were energized by the challenge posed in developing this solution, and
   now are super excited about the possibility the solution will enable, its
   ability to accelerate autonomous vehicle development, and its benefit to
   society. I look forward to that day in great anticipation.
   

 * NATALIE KILLEEN, R&D IC ENGINEER
   
   
   
   
   
   NATALIE KILLEEN, R&D IC ENGINEER
   
   Autonomous driving is a future capability that can offer enormous
   quality-of-life improvements for those who cannot drive themselves. My father
   was diagnosed with multiple sclerosis and it has been difficult to watch the
   man who helped me with my math homework and taught me how to play softball,
   struggle as his physical ability declines over the years. I know this loss of
   independence is difficult for him sometimes.
   
   Autonomous driving would help people like my father hold on to their
   independence, while still being safe on the road.
   

 * CHOO BENG LIM, R&D PROGRAM MANAGER
   
   
   
   
   
   CHOO BENG LIM, R&D PROGRAM MANAGER
   
   What really keeps me awake at night is troubleshooting through the design and
   test phases, and ensuring we are able to procure the necessary materials for
   building the system on time. Despite all the challenges, I am very excited to
   work on this project because our Keysight Radar Scene Emulator is a
   first-to-market solution.
   
   I am also inspired by the fact that there are many opportunities in
   autonomous drive emulation for us to materialize our vision to connect and
   secure the world. We are creating a new future by supporting our automotive
   customers to realize their vision, and our vision of mobility.

 * CHRISTIAN BOURDE, PRODUCT ENGINEERING MANAGER
   
   
   
   
   
   CHRISTIAN BOURDE, PRODUCT ENGINEERING MANAGER
   
   Time flies when you're having fun, learning, and being creative. The research
   is ongoing, but we've already covered a lot of ground and are starting to
   form a much better picture of how the whole thing will come together.
   
   Watching one or two pixels emulate a scene is something my brain can still
   follow and match the interaction of one or two objects. But seeing the
   environment with hundreds of objects is something else altogether. It's a
   cluttered world and it's going to take a lot of innovation and many
   disciplines to make sense of it all.
   

 * MINU JACOB, RESEARCH SCIENTIST
   
   
   
   
   
   MINU JACOB, RESEARCH SCIENTIST
   
   It's been exciting working on this project because the science behind radar
   and sensor fusion is fascinating. It's also fulfilling to be part of a
   solution that will make autonomous driving safer in the future. And this
   solution is also more environmentally friendly than having to do hundreds of
   miles of drive tests on the road just to test and verify the radar's
   algorithms.
   
   The complexity of the Radar Scene Emulator introduces a lot of challenges
   related to calibration and software and hardware integration, but it's great
   to be working on those challenges on a team, and for a company, that has the
   expertise to solve these challenges.
   

 * DIETER VOOK, RESEARCH SCIENTIST
   
   
   
   
   
   DIETER VOOK, RESEARCH SCIENTIST
   
   I live in Silicon Valley and am used to seeing lots of self-driving startups.
   Their cars are on the roads driving many miles around the same residential
   streets with monitor drivers seating in the passenger seat. It is really not
   sufficient to bring the level of quality needed to replace a human driver for
   corner-case driving situations. And that's where our new Radar Scene Emulator
   is helping to make self-driving cars a reality.
   
   The end goal for me in this solution is to help make self-driving systems
   sufficiently safe, so that I can think about putting a grandmother, or my
   relatives who really shouldn't be driving, in a driverless taxi and know they
   will be safe.
   

 * SILVIU-SORIN TUCA, SOLUTION MANAGER
   
   
   
   
   
   SILVIU-SORIN TUCA, SOLUTION MANAGER
   
   Full disclosure – I joined the team after the Radar Scene Emulator launch
   campaign started. Of course I had heard internal rumors about a 'big secret
   project;' some brand new solution based on awesome technology developed by
   Keysight Labs. I was told it was going to be a paradigm shift in how
   automakers test the logic in self-driving vehicles!
   
   At first, I was enticed by the novelty of the technology behind the Radar
   Scene Emulator solution. Then I met the folks working on it – all of them
   inspiring people, from different organizations, different regions, and
   different cultures, working from the office, or the lab, or from home, around
   the clock. Each one was invested in the success of this project and
   passionate about the result, as am I!
   
   
   #Keysight #GreatPlaceToWork #TeamWork
   

 * GREG LEE, RESEARCH SCIENTIST
   
   
   
   
   
   GREG LEE, RESEARCH SCIENTIST
   
   The artificial intelligence (AI) community tells us that autonomous driving
   will be safer than human driving. We'll never know if this is so, until the
   car companies begin to test the dangerous, and what I would call the
   verge-of-accident type of scenarios. But of course, the latter are totally
   unethical to test in reality. I've always thought that here is where
   electronic emulation can help.
   
   It is my hope that our Radar Scene Emulator can present these sorts of
   scenarios, and others, to the radar, as the radar would see them in reality.
   Then, it is up to the car's AI to learn to react to the sensor information in
   the safest manner possible, on a case-to-case basis. Only then will the
   general public and for that matter, the car companies themselves, gain
   confidence in automated drive technology.
   

 * GREG VANWIGGEREN, R&D RESEARCH MANAGER
   
   
   
   
   
   GREG VANWIGGEREN, R&D RESEARCH MANAGER
   
   The Radar Scene Emulator project has been very challenging, but the best
   things in life often are. This project required invention in many areas, and
   was full of risk and uncertainties. In particular, we needed to make sure our
   solution emulated the real world as accurately as possible and without
   creating a false radar detection. Given the complex and sophisticated
   waveforms employed by todays radars, that was a real challenge.
   
   After a tremendous amount of careful and detailed design, we're now seeing
   good results on a variety of radars. My goal for all this work is to see our
   technology widely adapted in the autonomous vehicle industry and to know that
   it's helping the engineers who are making autonomous vehicles a reality.

 * HENRIK LIEBAU, R&D MANAGER, AUTONOMOUS DRIVE EMULATION PLATFORM
   
   
   
   
   
   HENRIK LIEBAU, R&D MANAGER, AUTONOMOUS DRIVE EMULATION PLATFORM
   
   From the very beginning, when we started considering innovative ideas for
   testing autonomous drive systems, we discussed challenges around getting
   radar sensors into the game. What I have personally enjoyed most on this
   project is the interaction with lead customers and partners, which has helped
   shape our vision into the Radar Scene Emulator product that is now a reality.
   
   In addition, working with a team across the globe – between the U.S., China,
   Malaysia, Germany, France, and Korea, to name a few – and with bright and
   innovative engineers in Keysight, with our partners, and customers, has made
   this journey so interesting. Seeing this product come together now is a
   tremendous achievement!
   

 * TIM SCHOEFFLER, R&D SOFTWARE LEAD ENGINEER
   
   
   
   
   
   TIM SCHOEFFLER, R&D SOFTWARE LEAD ENGINEER
   
   Tim Schoeffler, R&D Software Lead Engineer
   
   Autonomous driving is a big milestone for the future of mobility. As a huge
   science fiction fan, it fascinates me to work on this technology, and to help
   turn what was once fiction into reality. Working with experts all around the
   world to pave the way for the next generation of autonomous vehicles is truly
   my engineer's dream come true.

 * BERNHARD HOLZINGER, SYSTEM ARCHITECT, AUTONOMOUS DRIVE EMULATION PLATFORM
   
   
   
   
   
   BERNHARD HOLZINGER, SYSTEM ARCHITECT, AUTONOMOUS DRIVE EMULATION PLATFORM
   
   I would like to quote Theodore von Kármán – a mathematician, aerospace
   engineer, and physicist. He said: “Scientists study the world as it is,
   engineers create the world that never has been.”
   
   In fact, being able to participate in creating something totally new is what
   keeps me thrilled to be an engineer. It’s not only to overcome technical
   challenges, but it’s also being able to work together with other engineers
   all over the world who share the same passion. 

 * STEPHAN SCHIRRMANN, R&D HARDWARE LEAD ENGINEER
   
   
   
   
   
   STEPHAN SCHIRRMANN, R&D HARDWARE LEAD ENGINEER
   
   Fully autonomous driving is one of the next big tech things, with a huge
   impact on traffic safety, the way we travel, and ultimately our society. I’m
   convinced that this will be a good thing. Getting the opportunity to
   contribute a tiny bit to that future is very exciting!
   
   
   
   When I joined the hardware team, I wasn’t aware yet that I would become part
   of the largest group of people that I had ever worked with on a single
   project. I’m still impressed every day by the skills and dedication of
   everyone in all the necessary disciplines that ultimately made it possible to
   get to this point. 

‹›



HEAR FROM THE AUTOMOTIVE TESTING EXPERTS THAT BROUGHT THE RADAR SCENE EMULATOR
TO LIFE

More than 23 patented innovations brought the Radar Scene Emulator to life. Hear
from the automotive testing experts at Keysight Labs and our partner IPG
Automotive on what made these breakthroughs possible, how the technology works,
and how it has rapidly evolved from supporting 20 to 40+ to 512 radar objects.


 * In this demo, you will learn how the Radar Scene Emulator sharpens your ADAS
   radar vision with full-scene emulation by allowing you to:
   
    * Test with a wide field-of-view (FOV) of + / -70° to view both near and far
      targets.
      
    * Apply test scenarios with variable environmental conditions, traffic
      density, speed, distance, and total number of targets.
    * Accelerate ADAS / AV algorithm training, and test scenarios earlier with
      complex repeatable scenes.
   
   Also hear from IPG about how their simulation technology works with
   Keysight’s Radar Scene Emulator to enable an innovative method for training
   ADAS and AV algorithms.
   
   
   WATCH DEMO NOW
   

 * In this demo, you will see how our radar scene emulation technology is at the
   heart of the Keysight autonomous drive emulation platform. Learn how:
   
    * Keysight's patented miniaturized radar target simulators shift the test
      paradigm from object detection to traffic scene emulation.
    * The Radar Scene Emulator, wireless non-line-of-sight sensors, and the time
      synchronization software work together for in-lab testing.
    * The hardware-in-the-loop (HIL) system emulates synchronized connections to
      all relevant in-vehicle ADAS sensors.
   
   WATCH DEMO NOW
   
   

‹›

12


PUSHING AUTOMOTIVE TESTING BOUNDARIES TOGETHER

"Our collaboration with Keysight can be summarized in three words — innovation,
flexibility, and teamwork. We've been able to collaborate on a good working
solution with the capacity to discriminate targets, pushing the boundaries
towards innovations to solve new challenges in ADAS and automated drive
systems."


THOMAS GUÉRINEAU, AUTOMATED DRIVING AND ADAS VALIDATION, GROUPE RENAULT





LEARN MORE ABOUT RADAR SCENE EMULATION AND AV TEST

 * Reports 2021.11.01
   
   AUTONOMOUS VEHICLE TESTING - SAE
   
   2021.11.01
   
   AUTONOMOUS VEHICLE TESTING - SAE
   
   Autonomous driving holds enormous potential for transforming the way we get
   around. Autonomous vehicle tests, including functionality and safety of
   systems in ADAS applications, must be verified across a variety of
   conditions. This SAE Special Report (November 2021), sponsored by Keysight
   Technologies, highlights how test systems help accelerate the drive towards
   fully autonomous transportation. The report includes articles that discuss:
   advancement of sensor technology for applications and future vehicles with
   high-level automation, 10 best practices for ADAS and AV testing, effective
   radar interference mitigation strategy, smart diagnostics and advanced
   validation to help gain confidence in autonomous trucks. Bonus: Get links to
   useful resources to support your autonomous vehicle tests.

 * White Papers 2021.12.03
   
   STEER TOWARD FULL VEHICLE AUTONOMY WITH CONFIDENCE
   
   2021.12.03
   
   STEER TOWARD FULL VEHICLE AUTONOMY WITH CONFIDENCE
   
   The vision of fully autonomous vehicles (AVs) is fast approaching. Along with
   improving the overall efficiency of transportation systems, driver and
   passenger safety is the most compelling advantage of self-driving vehicles.
   To achieve the next level of vehicle autonomy, the automotive industry faces
   technological, social, legal, and regulatory concerns. Although many of these
   issues are difficult to control, technology limitation is one area the
   automotive community and OEMs can help advance. They can make radar, lidar,
   cameras, and other sensors smaller, more robust, and less expensive, while
   improving those sensors’ detection and recognition software. Two obstacles
   stand in the way of improving the training of those algorithms. Closing the
   gap between roadway and software simulation testing. Training ADAS / AV
   algorithms with real-world conditions. This white paper outlines the gaps in
   autonomous vehicle testing and validation, the key technology advancement to
   address the challenges, and how you can achieve greater confidence in ADAS
   functionality with the Keysight Radar Scene Emulator.

 * White Papers 2021.04.08
   
   ACCELERATE THE DEVELOPMENT OF ADVANCED DRIVER-ASSISTANCE SYSTEMS
   
   2021.04.08
   
   ACCELERATE THE DEVELOPMENT OF ADVANCED DRIVER-ASSISTANCE SYSTEMS
   
   Keysight’s Autonomous Drive Emulation (ADE) platform is the environment
   emulator for in-lab testing versus realistic roadway scenarios, from mundane
   to one-in-a-million. Using total scene generation, the platform exercises
   ADAS software using time-synchronized inputs to the actual sensors. Its open
   architecture also closes the loop with your existing HIL systems and 3D
   modelers. Enabling you to keep pushing ADAS towards Level 5. Generate total
   roadway scenes with multi-faceted environment emulation. ADE fills the gap
   between software simulation and on-the-road testing of ADAS capabilities by
   performing holistic validation of the actual sensors, ECU software, AI logic,
   and more. Accelerate the development of new ADAS software features and gain
   deeper insights into the ADAS software behavior earlier in the development
   cycle. Develop greater confidence in the validation process by thoroughly
   validating line-of-sight-based sensors such as radar and cameras and with
   synchronous testing of communication-based systems (e.g., C-V2X). Cover
   dangerous situations, risky corner cases and more, in the lab by emulating
   complex situations with time-synchronized stimulation of the real sensors to
   be used in vehicles. Find potential issues earlier in the development
   process, reducing the likelihood of post-release failures. Ultimately test
   more scenarios, sooner, and achieve greater confidence in required ADAS
   functionality.

 * White Papers 2021.03.30
   
   AUTONOMOUS DRIVE EMULATION : APPLY C-V2X TEST SOLUTIONS
   
   2021.03.30
   
   AUTONOMOUS DRIVE EMULATION : APPLY C-V2X TEST SOLUTIONS
   
   Achieving the goal of fully autonomous driving involves the development of
   highly complex software infused with artificial intelligence (AI) that can
   correctly interpret and act upon streams of real-time data arriving from the
   surrounding infrastructure and emanating from arrays of in-vehicle-based
   sensors. One consequence: thorough verification of the functionality,
   performance, and safety of such systems will increasingly depend on detailed
   simulation and testing in the lab. This can be utilized throughout the
   automotive workflow, beginning long before new advances are deployed in
   vehicles operating on public roadways.

‹›



RELATED KEYSIGHT SOLUTIONS

SA8700A C-V2X TEST SOLUTION



Enable RF, protocol, and application-layer testing for
C-V2X applications




C-V2X AUTONOMOUS DRIVE EMULATION



Enhance validation with synchronous testing of communication-based systems



AUTONOMOUS DRIVE EMULATION PLATFORM



Exercise ADAS software with time-synchronized inputs to the actual sensors







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