The Role of AI in Revolutionizing Autonomous Vehicles

Deployment of autonomous vehicles on public roads promises increases in efficiency and safety, and requires evaluating risk, understanding the intent of human drivers, and adapting to different driving styles. Autonomous vehicles must have intelligent situation awareness and behave in safe and predictable ways without requiring explicit communication.

This talk describes new machine learning algorithms that enable increased capabilities for autonomous vehicles. Specifically, we will address how to integrate risk and behavior analysis in the control look of an autonomous car. We will also describe how Social Value Orientation (SVO), which captures how an agent’s social preferences and cooperation affect their interactions with others by quantifying the degree of selfishness or altruism, can be integrated in decision making and provide recent examples of developing and deploying self-driving vehicles with adaptation capabilities.