The advancement in sensor technologies, mobile network technologies, and artificial
intelligence has pushed the boundaries of different verticals, eg, eHealth and autonomous …

Autonomous vehicles (AVs) are the next-generation driver-less vehicular entities with
advanced technologies. Overtaking is an important and challenging maneuver that needs to …

In this paper, we investigate a novel collision probability-aware human-machine cooperative
planning and tracking method for enhancing safety of automated vehicles. Firstly, a long …

In this paper, a model predictive control (MPC) approach for controlling automated vehicle
steering during path tracking is presented. A (linear parameter-varying) LPV vehicle plant …

In this paper, we establish the concept of conflict analysis and demonstrate its applicability to
aid the decision making of vehicles at different levels of automation and cooperation. In …

This work considers the cooperative trajectory-planning problem along a double lane
change scenario for autonomous driving. In this paper, we develop two frameworks to solve …

This paper discusses cooperative path-planning and tracking controller for autonomous
vehicles using a distributed model predictive control approach. Mixed-integer quadratic …

This paper proposes a reliable optimized sigmoid‐based path planning algorithm that
ensures smooth, fast and safe overtaking maneuver, while maintaining the necessary safety …

We consider an intersection zone where autonomous vehicles (AVs) and human-driven
vehicles (HDVs) can be simulteneously present. As a new vehicle arrives, the traffic …

In this paper, a linear time-varying model predictive controller (LTV-MPC) is proposed for
automated vehicle path-following applications. In the field of path following, the application …