This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …

Autonomous marine vehicles (AMVs), including autonomous surface and underwater
vehicles, are versatile means to explore, exploit, monitor, and protect marine resources and …

The last decade has shown an increasing interest on advanced driver assistance systems
(ADAS) based on shared control, where automation is continuously supporting the driver at …

The last decade witnessed a great development of automated driving vehicles (ADVs) and
vehicle intelligence. The significant increment of machine intelligence poses a new …

With more and more stringent requirements on driving comfort, safety and fuel economy,
polytopic LPV approaches have become popular in intelligent automotive control systems …

Distraction, misjudgement and driving mistakes can significantly affect a driver, resulting in
an increased risk of accidents. There are diverse factors that can cause mistakes in driving …

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 …

This article addresses dynamic authority allocation strategy and security-based resilient
event-triggered output feedback lane keeping control (LKC) problem for human–machine …

The uncertainties of driver's behavior seriously affect road safety and bring significant
challenges to the human-machine cooperative control. This paper proposes a human …

Drivers are being confronted by the task of controlling vehicles together with automation
systems before autonomous vehicles are even fully realized. A novel human-oriented online …