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Decision Making for Connected Automated Vehicles at Urban Intersections Considering Social and Individual Benefits
To address the coordination issue of connected automated vehicles (CAVs) at urban scenarios, a game-theoretic decision-making framework is proposed that can advance social benefits, including the traffic system efficiency and safety, as well as the benefits of individual users.
Driving Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections: A Differential Game Approach
To realize human-like driving and personalized decision-making, driving aggressiveness is first defined for AVs.
Decision Making of Connected Automated Vehicles at An Unsignalized Roundabout Considering Personalized Driving Behaviours
To improve the safety and efficiency of the intelligent transportation system, particularly in complex urban scenarios, in this paper a game theoretic decision-making framework is designed for connected automated vehicles (CAVs) at unsignalized roundabouts considering their personalized driving behaviours.
Deep Convolutional Neural Network-based Bernoulli Heatmap for Head Pose Estimation
This paper proposes a novel Bernoulli heatmap for head pose estimation from a single RGB image.
