Safety as a Top Priority
Self-driving vehicles can significantly improve safety on our streets. Our Autonomous Vehicle System Engineering (AVSE) team is developing robust processes to design and deploy safe and reliable self-driving systems, in collaboration with our technology partner Argo AI.
When testing our self-driving vehicles, we implement strict safety precautions. In addition to using simulation, comprehensive lab studies and proving-ground testing before trialing on public roads, all Ford and Argo AI self-driving test vehicles currently have safety drivers and co-pilots on board. Together with Argo AI, we are testing self-driving vehicles on public roads in Detroit, Austin, Texas, and three other U.S. cities, and plan to launch services in Austin, Miami and Washington, D.C. Ford and Volkswagen will work with Argo AI to independently develop AVs at scale based on Argo AI’s innovative self-driving technology.
Autonomous vehicles rely on a constant stream of data to safely navigate their environments. However, even before a car is ready to head out on the road, complex software is necessary to “teach” vehicles how to analyze their surroundings.
To accelerate self-driving innovation, we are releasing the data we have developed over the years to the academic and research community. Included in this will be a year’s worth of information gathered by our latest test vehicles, from LiDAR and camera sensor data to detailed 3D maps.
With 365 days of continuously collected data, developers will be able to design robust algorithms that account for dynamic environments, driving the future of autonomous technologies.