Autonomous Drive Emulation Architecture

Real-world Testing for Autonomous Vehicles

The autonomous driving industry is facing multiple technology disruptions. In cars with advanced driver-assistance systems (ADAS), decision-making units must process massive amounts of data from an increased number of sensors, in turn driving greater complexity in development, simulation and testing. Keysight is working to tackle these challenges to overcome in creating completely autonomous vehicles that work in the real world. Keysight’s Autonomous Drive Emulation platform is the environment emulator for in-lab testing using 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.

Generate Total Roadway Scenes with Multi-Faceted Environment Emulation

Keysight’s Autonomous Drive Emulation (ADE) platform is the environment emulator for in-lab autonomous driving 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.

Learn more about our new C-V2X Autonomous Drive Emulation solution and Radar Scene Emulator.

Build Confidence in ADAS with Keysight’s Autonomous Drive Emulation

In the development of autonomous vehicles, confidence in the safety of  ADAS is built on detailed testing. This requires hundreds of millions of miles of road testing—actual or simulated—focused on exploring corner cases and qualifying new designs.

Keysight’s ADE platform accelerates that process using detailed simulations and time-synchronized testing of sensors, wireless links, ECUs, and AI algorithms. With state-of-the-art realism, the ADE platform enables developers to thoroughly test their designs and then focus on the debugging and fine-tuning of system behavior.

Watch the introductory video to see how ADE can help realize your vision of mobility.

Bring the Road to the Lab with the ADE Platform

Consider the many decisions we make while driving a car, and how long it took to become a good driver. That’s the challenge: building complex systems that exceed the abilities of the best human drivers. As automakers race to achieve a level 4 or 5 autonomous vehicle features of ADAS functionality move beyond parking assistance or automated breaking. The algorithms that make those decisions must ‘learn’ about more corner cases, more roadways, more city centers than ever before. With an unproven system, premature roadway testing is too risky. The best alternative is a solution that fills the gap between software simulation and on-road testing. It must emulate real-world scenarios that enable validation of actual sensors, ECU code, AI logic, and more. Testing more scenarios, sooner, provides a clearer sense of when to stop, and when to confidently sign off.

  • Enhance testing of cameras and radar with highly realistic views of modeled objects
  • Leverage state-of-the-art radar target simulation capabilities
  • Incorporate application-level testing of cellular vehicle-to-everything (C-V2X) scenarios

Sign-Off on New Functionality with Well-Founded Confidence

The ADE platform is an “environment emulator” that uses “total scene generation” to provide direct stimulation of the actual ADAS sensors that will be used in vehicles. Capabilities that address both line-of-sight- and communication-based systems including camera, radar, or C-V2X. Its open architecture also closes the loop with your existing hardware-in-the-loop (HIL) systems and 3D modelers. These capabilities create a solution that complements—and fills the gap between—software simulation and on-road testing.

  • Close the gap between software simulations and on-the-road testing of ADAS capabilities
  • Gain deeper insights into ADAS software behavior earlier in the development circle
  • Ensure consistent testing of features and updates that are released post-SOP
  • Protect your investments in HiL systems and 3D modelers with the open ADE architecture
  • Grow your Autonomous Drive Emulation solution as sensor systems and test requirements evolve

Extend Your Capabilities with the Right Tools

ADAS / AV subsystem functionality and performance testing are just one part of your validation. Address your R&D design validation needs along with EOL testing with any (or all) of Keysight existing products.

Featured Resources

White Papers 2022.05.31

Evolving Your ADAS and AV Tests with Emulation Capability

Evolving Your ADAS and AV Tests with Emulation Capability

Creating safe and robust autonomous driving (AD) systems is a complex task. Autonomous vehicles (AVs) have hundreds of sensors, all of which need to work with one another inside the car and with other smart vehicles. The software algorithms enabling autonomous driving features will ultimately need to synthesize all the information collected from these sensors to ensure that the vehicle responds appropriately. These algorithms require testing against millions of complex scenes covering various driving scenarios. Achieving the next level of vehicle autonomy will require many innovations and technological advancements. Continuous investments in sensor technologies such as radar, lidar, and cameras will improve environmental scanning. Each sensor type has its advantages and disadvantages, and they need to complement each other to ensure that the object detection process has built-in redundancy. Software is driving vehicle development trends and topics, such as autonomous driving and electrification. The focus of vehicle development is therefore shifting from hardware to software. Vehicles with ADAS Levels 3 and beyond require testing and validation against the growing number of scenarios and the surrounding environment. Not only will the number of tests increase, but the complexity of the tests will also increase. With the technological advancements and changing development trends, R&D engineers need to reimagine test tactics for ADAS and AV systems. This white paper provides insights and key steps needed to confidently sign off on new ADAS and AV functionality. Download this white paper to find out how you can do the following: Apply DevOps (development and operations) model across software application development cycles, emulate and reproduce test scenarios in the lab, understand the technological concepts of how automotive OEMs emulate the scenes for lab testing, test autonomous driving systems with radar sensors faster and with highly complex, multitarget scenes.


View All Resources

View All Resources

Want help or have questions?