Testing is Critical for Adoption of Autonomous Vehicles

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Developments in the autonomous vehicle (AV) arena are accelerating as traditional automakers, along with new players, invest in technology that is driving innovation. While AVs have the potential to improve automobile safety and driving convenience, their complexity requires a rigorous test and verification system to ensure vehicle safety across all types of traffic, road, and weather conditions. Certainly, AVs will use methods based on artificial intelligence (AI), which will enable the vehicles to communicate via telecom service and infrastructure providers. 

The underpinnings for AV technology is the connected car concept. Systems communicate with the vehicle about road and traffic conditions, vehicles nearby, and other critical elements of the driving experience. AV technology combines multiple sensors, computers, and software to produce self-driving cars. These cars are already statistically safer by miles driven than that of their human-driven counterparts. 

Waymo, (formerly the Google self-driving car project), reported only one at-fault, no injury accident at two mph with over five million miles driven in total. Even so, building consumer trust in fully self-driving cars is a challenge. For example, 73 percent of American drivers report they would be too afraid to ride in fully self-driving vehicles, and 63 percent of U.S. adults report that they would feel less safe sharing the road with a self-driving vehicle while walking or riding a bicycle, according to a 2018 American Automobile Association (AAA) study1 .

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