This thesis addresses motion planning and control of autonomous heavyduty industrial
vehicles, such as trucks and buses, using optimization-based techniques. Autonomous …

With the continued development of Autonomous Vehicle System (AVS), self-driving related
technologies have attracted much attention over the past decade. In this light, we survey …

In this paper, we develop a finite state machine based automated highway driving controller.
The controller is described by feedback control laws in each state and state transition …

This article describes the design, implementation, and evaluation of an active lane change
control algorithm for autonomous vehicles with human factor considerations. Lane changes …

Autonomous driving is recognized as the milestone of automotive industry. The purpose of
the continuous evolution of vehicular automation is to enhance or replace human-driver's …

As members of network systems share more information among agents and with network
providers, sensitive data leakage raises privacy concerns. Motivated by such concerns, we …

Discrete POMDPs of medium complexity can be approximately solved in reasonable time.
However, most applications have a continuous and thus uncountably infinite state space …

In the near future, self-driving vehicles will be frequently tested in urban traffic, and will
definitely coexist with human-driving vehicles. To harmoniously share traffic resources, self …

Existing studies on autonomous driving methods focus on the fusion of onboard sensor data.
However, the driving behavior might be unsteady because of the uncertainties of …

This paper presents a model for lane changing in highway driving. It consists of two main
parts; threat assessment by assessing the interaction between traffic participants captured in …