In recent times, electric vehicles (EV) are gaining a lot of attention as they run clean and are
environment friendly. Recent advances in the applications of integrating control systems in …

Accurate knowledge of the vehicle states is the foundation of vehicle motion control.
However, in real implementations, sensory signals are always corrupted by delays and …

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

Unmanned Aerial Vehicles (UAVs), in conjunction with 6G, are a potential tool for monitoring
agricultural lands and various agricultural applications. There have been several trajectory …

In this paper, we introduce an algorithm for generating collision-free two-lane paths for
unmanned vehicles used at mining sites by using quartic (degree 4) B-spline curves. Given …

This paper considers the problem of tracking a reference trajectory for an autonomous
vehicle. A model predictive control (MPC) approach is used to solve the tracking control …

G-continuous trajectories are crucial for vehicles under non-holonomic dynamic constraints
to run smoothly. In this paper, we present a path smoothing method based on piece-wise …

This paper considers the problem of optimal trajectory generation for the realization of
autonomous driving involving a human driven vehicle (HDV). The path-planning algorithm …

 In connection with the active development of information systems in transport, it becomes
necessary to integrate vehicles, infrastructure and humans into a single information network …

There are two objectives of this work. First is to develop a detailed mathematical model of a
vehicle. The second is to develop a controller which makes the vehicle follow desired …