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How to shorten the gap between fully autonomous driving and fully automated driving?

Download the white paper "Confidently Moving Toward Fully Autonomous Driving"

https://connectlp.keysight.com/ADE_RSE_WP-CN?elqCampaignId=21125&cmpid=ASC-2104402&utm_source=ADSC&utm_medium=ASC&utm_campaign=302

Improve ADAS radar field of view with full-scenario simulation

Fully autonomous vehicles (AV) are rapidly entering our lives. In addition to improving the overall efficiency of the transportation system, ensuring the safety of drivers and occupants is the most compelling advantage of autonomous vehicles.

How to shorten the gap between fully autonomous driving and fully automated driving?

The automotive industry must overcome technical, social, legal and regulatory challenges to achieve a higher level of autonomous vehicle driving. While many of these issues are difficult to manage, the automotive industry and OEMs work together to push the boundaries of technology. They were able to create smaller, more rugged, and more economical radars, lidar, cameras, and other sensors, while improving the detection and identification software for those sensors. To improve the training of these algorithms, the industry needs to overcome two obstacles.

Bridge the gap between road testing and software simulation testing

Train the ADAS/AV algorithm under real-world conditions

Provide automakers with full-scenario simulations to test complex real-world scenarios in the lab

Keysight released a blockbuster product, the Radar Scene Simulator, in late 2021, which can present up to 512 targets and reach 1.5 meters away. As a pioneering solution, the product bridges the gap between laboratory testing and road testing, accelerating the development of fully autonomous driving technology.

This patented technology uses a patented technology that simulates an entire traffic scenario for target detection instead of a single target, allowing automotive OEMs to gain the following key benefits:

Wider field of view: Radar scene simulators not only allow radar sensors to find more targets within a wider continuous field of view, but also support the simulation of both short and long-range targets.

Test complex real-world environments: Keysight Radar Scenario Simulator allows automakers to set a variety of traffic densities, speeds, distances, and total numbers of targets in the lab to truly simulate real-world driving scenarios.

Accelerate learning: Keysight Radar Scenario Simulator provides a definitive, real-world environment for testing complex scenarios in the lab, which we could only test on the road. Scenes can include stationary or moving targets, as well as a variety of variable environment features, which significantly increase the learning speed of the ADAS/AD algorithm.

Improved scene resolution: Automakers need to test whether radar can distinguish obstacles on the road in order to make a smooth and rapid transition to autonomous driving (i.e., Level 4 and Level 5 autonomous driving as prescribed by the Society of Automotive Engineers (SAE)).

How to shorten the gap between fully autonomous driving and fully automated driving?

Autonomous driving algorithms must be intensively trained in millions of complex driving scenarios to make safety decisions. The more comprehensive the algorithm training, the more secure the driving on the road. This white paper, "Confidently Moving Toward Fully Autonomous Driving," outlines the gaps in autonomous vehicle testing and validation, key technological advancements in addressing these challenges, and how you can use Keysight Radar Scenario Simulators to increase confidence in ADAS capabilities.

Download the white paper "Confidently Moving Toward Fully Autonomous Driving"

https://connectlp.keysight.com/ADE_RSE_WP-CN?elqCampaignId=21125&cmpid=ASC-2104402&utm_source=ADSC&utm_medium=ASC&utm_campaign=302

This radar scenario simulator is a component of Keysight's Automated Driving Simulation (ADE) platform, which was created by Keysight, IPG Automotive, and Nordsys through years of collaboration. The ADE platform trains assisted driving (ADAS) and autonomous driving (AD) software by rendering predefined usage scenarios to provide time-synchronized inputs for on-board sensors and subsystems such as global navigation satellite systems (GNSS), connected vehicles (V2X), cameras, and radar. With Keysight's open platform for Autonomous Driving Simulation (ADE), automakers and their partners will be able to focus on developing and testing ADAS/AD systems and algorithms, including sensor fusion and decision-making algorithms. The platform can also be integrated with commercial 3D models, hardware-in-the-loop (HIL) systems, and existing test and simulation environments.

About Keysight

Keysight is a leading technology company that helps enterprises, service providers, and government customers accelerate innovation and create a secure, connected world. From the founding of Hewlett-Packard in 1939 to November 1, 2014, Keysight, as a new electronic test and measurement company, continues to embark on a new voyage with the same entrepreneurial spirit and passion, inspiring innovators around the world and helping them achieve beyond their imagination. Keysight's solutions are designed to help customers innovate in 5G, automotive, IoT, cybersecurity and more.

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