The Value of Inferring the Internal State of Traffic Participants for Autonomous Freeway Driving

Preprint English OPEN
Sunberg, Zachary; Ho, Christopher; Kochenderfer, Mykel;
(2017)
  • Subject: Computer Science - Artificial Intelligence

Safe interaction with human drivers is one of the primary challenges for autonomous vehicles. In order to plan driving maneuvers effectively, the vehicle's control system must infer and predict how humans will behave based on their latent internal state (e.g., intention... View more
  • References (24)
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