Autonomous Drive Emulation (ADE)

This flyer gives a brief overview of the Autonomous Drive Emulation platform.

Bridging the Gaps in Connected Autonomous Driving

Keysight commissioned technology research house Dimensional Research to conduct an independent survey of automotive decision-makers. Below are the five focal areas they identified to bridge the gaps in connected autonomous vehicle, or CAV developmental road maps: standardize the approach to testing AV systems; improve testing technologies to ensure safe AV operation; pre-empt multiple network connectivity issues; circumvent automotive cybersecurity risks; and increase resources to mitigate integration challenges.

How 5G Will Influence Autonomous Driving Systems

5G will dramatically strengthen autonomous driving vehicles. Read how wireless communications contribute to 5G autonomous driving.

Automotive Ethernet: Enabling the Future of Autonomous Driving

Major innovation drivers in the automotive industry span three categories: enhanced safety, a cleaner environment, and improved convenience with connectivity. To achieve these goals, automakers, automotive suppliers, governments, academia, and even nontraditional automotive players such as wireless chipset makers, mobile device makers, and wireless service providers are developing advanced driver-assistance systems (ADAS), connected car technologies, and, ultimately, autonomous vehicles.

Harden the Robustness of Your Autonomous Driving Algorithms

Developing autonomous driving algorithms is complex because the task involves many variables, including replicating complex, repeatable scenes in a lab environment. The more accurate the scenes, the faster the algorithms can be trained. The robustness of autonomous driving (AD) algorithms depends on how comprehensive the testing is. This is why Keysight created the Radar Scene Emulator (RSE). Keysight RSE allows you to test autonomous drive systems with radar sensors faster and with highly complex multi-target scenes, using full-scene emulation of up to 512 objects at distances as close as 1.5 meters.

Harden the Robustness of Your Autonomous Driving Algorithms

No one said developing autonomous vehicles was going to be easy, but emulating real-world scenarios can make it much easier to validate sensors, electronic control unit code, AI logic, and more.

Design and Test Solutions for E-Mobility and Autonomous Driving

Automotive electronics form the underlying platform for all operations and diagnostics, convenience and comfort, safety and security for the modern vehicle. Many different technology elements can be assembled in various combinations depending on what automotive engineers are intending to bring to market. While the number of permutations are too numerous to cover, up-to-date automotive design and test solutions in the areas of e-mobility, autonomous driving, and the connected car can help OEMs and their Tier 1 suppliers ensure reliability and performance of their automotive innovations.

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.

PCBA Manufacturer Shifts Gears for Autonomous Driving with Keysight ICT

Leading printed circuit board assembly manufacturer tests 15 million automotive boards with almost no downtime, exceeding its test target.

Electronics OEM Taps Keysight Automotive Radar Solution to Support Autonomous Driving R&D

Electronics manufacturer jumpstarts automotive radar application design and test efforts with Keysight solution, saving test development time and improving initial test coverage by over 50 percent.

Accelerate Autonomous Vehicle Test | Bring Real-World Testing of Autonomous Driving Technology into Your Lab

This paper, presented at Keysight World Tech Days India, discusses how to accelerate autonomous vehicle (AV) testing by simulating real-world driving conditions in the lab. With the complexity of AV systems—integrating sensors, AI, and machine learning—ensuring safety and performance under all conditions is challenging. Our approach combines high-fidelity simulation, sensor fusion, and digital twin technology to create realistic testing environments. By replicating complex driving scenarios, we enable AV manufacturers to rigorously test perception, decision-making, and control systems. This paper offers insights into improving test efficiency, reducing development time, and ensuring AV readiness for deployment in diverse driving environments.

Raising the Bar on Autonomous Vehicle Safety

Keysight's VP of automotive and energy solutions, Thomas Goetzl, discusses the future of autonomous vehicles and how advancements in emulation are bringing real-world driving scenarios into the lab.

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.

Driving Made Safer With Automotive Radar

Automotive radar is an important technology for modern vehicles, enabling many advanced driver assistance systems (ADAS) applications, and autonomous driving technology. As radar technology continues to evolve, with higher frequencies, wider bandwidths, better resolution, and the need for it to detect multiple radar targets, it can be a challenge to stay current with evolving design and verification requirements. Find out what new automotive radar test solutions are available today to help pave the way for autonomous driving.

Advancing the Autonomous Vehicle Ecosystem

The rapid innovation of advanced driver assistance systems and communication technologies demand a rigorous testing regimen during different stages of the design life cycle. Keysight provides the expertise across these technologies to address the test challenges within your automotive development cycle so you can realize your vision of connected mobility.

Realize Your Vision of Mobility: Keysight Solutions for Autonomous and Electric Vehicles

Automotive OEMs continue to innovate as they advance the development of autonomous and electric vehicles. Keysight is here to help, investing in new technologies that take testing farther and enable you to achieve your design goals.

Unattended Drive Test Measurements with Nemo Autonomous Probe

Nemo Autonomous Probe enables cost-effective, remote-controlled measurements without the need for a supervising drive test engineer on the field.

Digital Twin Technology Drives the Future of Autonomous Vehicles

Digital twins and emulation software enable engineers and designers to test and measure autonomous vehicles (AV) within a virtual lab under various driving conditions, accelerating AV adoption

Testing is Critical for the Adoption of Software-Defined Autonomous Vehicles

Explore how rigorous testing and validation are essential to the safe deployment of autonomous and software-defined vehicles. This white paper outlines key technologies, regulatory standards, and testing strategies that enable AVs to meet safety expectations and build public trust.

Network Modeling and Simulation in the Autonomous Car Era

White paper explaining the advantages, technology, testing challenges, and network modeling and simulation solutions of a Vehicle-to-Everything (V2X) approach in the context of EXata and QualNet's scalable simulation solutions.