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"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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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.
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
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