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What is Social Perception in AV Behavior Planning about?

The paper presents a framework for behavior planning in autonomous vehicles that incorporates social perception, treating other road users as distributed sensors to address uncertainties in dynamic environments. By utilizing a probabilistic planning approach based on Model Predictive Control (MPC) and inverse reinforcement learning, the framework enables autonomous cars to generate socially compatible and efficient driving strategies. The effectiveness of this approach is validated through simulations, demo

Author

段星星

Language

EN