Classical artificial potential approach of motion planning is extended for emulating human
driving behaviour in two dimensions. Different stimulus parameters including type of ego …

In this paper, the longitudinal control is investigated for an autonomous electric vehicle with
a tracking differentiator. The autonomous electric vehicle is modelled as a longitudinal …

The key motivation of this paper lies in the development of a high‐level decision‐making
framework for autonomous overtaking maneuvers on two‐lane country roads with dynamic …

The speed control of autonomous car is an important aspect of a driver less vehicle. This
paper presents a solution for longitudinal motion speed control of autonomous vehicle. The …

In recent years, the model predictive control (MPC) algorithm has been increasingly applied
to the path tracking of self-driving vehicles due to its capacity to deal with dynamic …

This paper proposes an active collision avoidance controller based on a hierarchical model
predictive control framework for distributed electric drive vehicles (4IDEV) considering …

We propose a vehicle path‐tracking method based on the hp‐adaptive Gaussian
pseudospectral method (GPM), which tackles the problem of the slow convergence speed of …

To alleviate the driver's nervousness, a lane‐keeping algorithm based on scene analysis is
proposed. From the driver's point of view, two key parameters are studied, which are the …

Electric automated vehicles are zero-emission, energy-saving, and environmentally friendly
vehicles, and testing and verification is an important means to ensure their safety. Because …

To realise a safe trajectory planning and control performance based on model predictive
control (MPC) and investigate the effects of MPC horizons on the system performance, this …