30 citations · 62 across the 9 of their papers we have counts for
9 papers
Decision Making for Connected Automated Vehicles at Urban Intersections Considering Social and Individual Benefits
Peng Hang, Chao Huang, Zhongxu Hu +1
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…
Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving
Jingda Wu, Zhiyu Huang, Chao Huang +4
Due to the limited smartness and abilities of machine intelligence, currently autonomous vehicles are still unable to handle all kinds of situations and completely replace drivers.…
Decision Making of Connected Automated Vehicles at An Unsignalized Roundabout Considering Personalized Driving Behaviours
Peng Hang, Chao Huang, Zhongxu Hu +2
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…
Cooperative Decision Making of Connected Automated Vehicles at Multi-lane Merging Zone: A Coalitional Game Approach
Peng Hang, Chen Lv, Chao Huang +2
To address the safety and efficiency issues of vehicles at multi-lane merging zones, a cooperative decision-making framework is designed for connected automated vehicles (CAVs) usi…
On Joint Reconstruction of State and Input-Output Injection Attacks for Nonlinear Systems
Tianci Yang, Carlos Murguia, Chen Lv +2
We address the problem of robust state reconstruction for discrete-time nonlinear systems when the actuators and sensors are injected with (potentially unbounded) attack signals. E…
Human-Machine Adaptive Shared Control for Safe Automated Driving under Automation Degradation
Chao Huang, Chen Lv, Peng Hang +2
In this paper, a human-machine adaptive shared control method is proposed for automated vehicles (AVs) under automation performance degradation. First, a novel risk assessment modu…