Social interactions for autonomous driving: A review and perspectives
No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …
their goals in social traffic scenes. A rational human driver can interact with other road users …
A review of shared control for automated vehicles: Theory and applications
The last decade has shown an increasing interest on advanced driver assistance systems
(ADAS) based on shared control, where automation is continuously supporting the driver at …
(ADAS) based on shared control, where automation is continuously supporting the driver at …
Authority allocation strategy for shared steering control considering human-machine mutual trust level
Human-machine mutual trust has become one of the important factors restricting steer-by-
wire vehicles due to the removal of mechanical connections. To this end, this article …
wire vehicles due to the removal of mechanical connections. To this end, this article …
Dynamic driving risk potential field model under the connected and automated vehicles environment and its application in car-following modeling
This paper proposes a new dynamic driving risk potential field model under the connected
and automated vehicles environment that fully considers the dynamic effect of the vehicle's …
and automated vehicles environment that fully considers the dynamic effect of the vehicle's …
Decision-making in driver-automation shared control: A review and perspectives
Shared control schemes allow a human driver to work with an automated driving agent in
driver-vehicle systems while retaining the driverʼ s abilities to control. The human driver, as …
driver-vehicle systems while retaining the driverʼ s abilities to control. The human driver, as …
Adaptive steering torque coupling framework considering conflict resolution for human-machine shared driving
J Han, J Zhao, B Zhu, D Song - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Human-machine shared control has become an effective cutting-edge approach to enhance
driving safety and assist in the transition from manual to autonomous driving. However …
driving safety and assist in the transition from manual to autonomous driving. However …
Multimodal vehicular trajectory prediction with inverse reinforcement learning and risk aversion at urban unsignalized intersections
Understanding human drivers' intentions and predicting their future motions are significant to
connected and autonomous vehicles and traffic safety and surveillance systems. Predicting …
connected and autonomous vehicles and traffic safety and surveillance systems. Predicting …
Formulating vehicle aggressiveness towards social cognitive autonomous driving
Accurately identifying the driving threat could greatly improve the driving safety for
autonomous vehicles in the mixed traffic, where the human-driven and driverless, as well as …
autonomous vehicles in the mixed traffic, where the human-driven and driverless, as well as …
A bargaining game-based human–machine shared driving control authority allocation strategy
C Dai, C Zong, D Zhang, M Hua… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Research on game-based human-machine shared driving (HMSD) has traditionally been
constrained by stringent game theory assumptions, high requirements for automated …
constrained by stringent game theory assumptions, high requirements for automated …
A two-layer potential-field-driven model predictive shared control towards driver-automation cooperation
This paper proposes a novel driver-automation shared control based on a potential-field-
driven model predictive controller (PF-MPC) and a two-layer fuzzy strategy (TLFS) to …
driven model predictive controller (PF-MPC) and a two-layer fuzzy strategy (TLFS) to …