no code implementations • 5 Jan 2022 • Peng Hang, Chao Huang, Zhongxu Hu, Chen Lv
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.
no code implementations • 5 Jan 2022 • Peng Hang, Chao Huang, Zhongxu Hu, Chen Lv
To realize human-like driving and personalized decision-making, driving aggressiveness is first defined for AVs.
no code implementations • 14 Mar 2021 • Peng Hang, Chao Huang, Zhongxu Hu, Yang Xing, Chen Lv
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.
no code implementations • 24 May 2020 • Zhongxu Hu, Yang Xing, Chen Lv, Peng Hang, Jie Liu
This paper proposes a novel Bernoulli heatmap for head pose estimation from a single RGB image.