With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …

Shared control schemes allow a human driver to work with an automated driving agent in
driver-vehicle systems while retaining the driverʼ s abilities to control. The human driver, as …

For a foreseeable future, autonomous vehicles (AVs) will operate in traffic together with
human-driven vehicles. Their planning and control systems need extensive testing …

Motivated by the need for simulation tools for testing, verification and validation of
autonomous driving systems that operate in traffic consisting of both autonomous and …

Connected and automated technologies for vehicles pave the way for major changes in
traffic control methodology. A decentralized control system based on a communication …

In order to improve the efficiency and comfort of autonomous vehicles while ensuring safety,
the decision algorithm needs to interact with human drivers, infer the most probable …

In human-machine cooperative decision making and control of intelligent vehicle, the
intelligent system needs to understand driver's intention and desired vehicle trajectory in …

We describe the design and validation of a decision-making system in the guidance and
control architecture for automated driving. The decision-making system determines the …

This work proposes an active collision avoidance between autonomous driving vehicle and
pedestrian with motion uncertainty under urban road. A candidate trajectory planning …

Autonomous vehicles (AVs) are expected to be an integral part of the next generation of
transportation systems, where they will share the transportation network with human-driven …