Steer Toward Full Vehicle Autonomy with Confidence
White Paper Overview
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. The most recent data shows that approximately 1.3 million people worldwide die each year as a result of road collisions1. According to the US National Highway Traffic Safety Administration (NHTSA), human error is the cause of 94% of serious crashes2.
What if we could increase safety and reduce the risk of accidents on the road? What if we could take driver error out of the equation? Reports suggest self-driving vehicles could reduce traffic deaths by as much as 90%3. Advanced driver-assistance systems (ADAS) in production vehicles have reached Society of Automotive Engineers (SAE) International Level 2+ to Level 3 automation, which in most traffic situations still requires the driver to control the vehicle. Achieving the next level in vehicle autonomy demands robust algorithms trained to interpret radar reflections from automotive radar sensors. Overcome the gaps between software simulation and roadway testing to train the ADAS / AV algorithms with real-world conditions.
In this white paper entitled Steer Toward Full Vehicle Autonomy with Confidence by Keysight, you'll learn more about:
- Vehicle Autonomy
- Gaps in Autonomous Vehicle Testing and Validation
- Full-Scene Emulation and Other Key Technology Advancements
1 Road Traffic Injuries. World Health Organization, June 21, 2021. https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries.
2 Automated Vehicles for Safety. National Highway Traffic Safety Administration, n.d. https://www.nhtsa.gov/technology-innovation/automated-vehicles-safety.
3 “7 Benefits of Autonomous Cars.” Thales Group. Last updated January 2021. https://www.thalesgroup.com/en/markets/digital-identity-and-security/iot/magazine/7-benefits-autonomous-cars.