The decision-making and planning framework is formulated as an Iterative Linear Quadratic Game to capture strong interactions among traffic participants. A more realistic behavioral model, along with a traffic-rule-based ILQGame formulation and solver, is implemented to enable the ego vehicle to make sound decisions in real time.

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Simulation and Real-World Deployment of Game Theory in Autonomous Driving

  • Keqi Shu,
  • Yukun Lu,
  • Amir Khajepour

摘要

The decision-making and planning framework is formulated as an Iterative Linear Quadratic Game to capture strong interactions among traffic participants. A more realistic behavioral model, along with a traffic-rule-based ILQGame formulation and solver, is implemented to enable the ego vehicle to make sound decisions in real time.