A behavior driven approach for sampling rare event situations for autonomous vehicles

Understand

Performance evaluation of urban autonomous vehicles requires a realistic model of the behavior of other road users in the environment.

• Learning such models from data involves collecting naturalistic data of real-world human behavior.
• In many cases, acquisition of this data can be prohibitively expensive or intrusive.
• Additionally, the available data often contain only typical behaviors and exclude behaviors that are classified as rare events.