Trajectory optimization of an electric vehicle with minimum energy consumption using inverse dynamics model and servo constraints
Trajectory planning is a crucial aspect of autonomous driving for energy conservation ans
savings, especially in electric vehicles (EVs). A particular vehicle inverse dynamics model is …
savings, especially in electric vehicles (EVs). A particular vehicle inverse dynamics model is …
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 …
A human-machine shared control framework considering time-varying driver characteristics
The uncertainties of driver's behavior seriously affect road safety and bring significant
challenges to the human-machine cooperative control. This paper proposes a human …
challenges to the human-machine cooperative control. This paper proposes a human …
Practical preassigned fixed-time fuzzy control for teleoperation system under scheduled shared-control framework
Y Yang, H Jiang, C Hua, J Li - IEEE Transactions on Fuzzy …, 2023 - ieeexplore.ieee.org
This article devotes to propose a novel synchronization control algorithm for networked
nonlinear master–slave system under a scheduled shared-control structure to skillfully solve …
nonlinear master–slave system under a scheduled shared-control structure to skillfully solve …
Adaptive cost function-based shared driving control for cooperative lane-keeping systems with user-test experiments
This article presents a new shared control method with a dynamic driver-automation conflict
management for cooperative lane keeping systems (LKS) of automated vehicles. Based on …
management for cooperative lane keeping systems (LKS) of automated vehicles. Based on …
Assessing the predictability of surrogate safety measures as crash precursors based on vehicle trajectory data prior to crashes
This study aims to investigate the predictability of surrogate safety measures (SSMs) for real-
time crash risk prediction. We conducted a year-long drone video collection on a busy …
time crash risk prediction. We conducted a year-long drone video collection on a busy …
Modeling Lateral Control Behaviors of Distracted Drivers for Haptic-Shared Steering System
FX Xu, SY Feng, EJC Nacpil, Z Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Haptic-shared steering (HSS) systems have been reported to enhance vehicle safety and
reduce the workload for drivers. However, few studies have focused on modeling the lateral …
reduce the workload for drivers. However, few studies have focused on modeling the lateral …
Human–machine shared control for path following considering driver fatigue characteristics
Fatigue driving has been regarded as one of the most important factors that cause traffic
accidents. This paper proposes a robust human-machine shared control strategy to improve …
accidents. This paper proposes a robust human-machine shared control strategy to improve …
Trust-Based Shared Control of Human-Vehicle System Using Model Free Adaptive Dynamic Programming
Trust is a critical issue in the field of human-vehicle interaction. In order to improve the
efficiency of co-driving system while ensuring the safety and comfort of autonomous vehicles …
efficiency of co-driving system while ensuring the safety and comfort of autonomous vehicles …
Emergency vehicle driving assistance system using recurrent neural network with navigational data processing method
M Anjum, S Shahab - Sustainability, 2023 - mdpi.com
Emergency vehicle transportation is important for responding to and transporting individuals
during emergencies. This type of transportation faces several issues, such as road safety …
during emergencies. This type of transportation faces several issues, such as road safety …