This study explores, in the context of automated braking, how a voice alert accompanying
the car's autonomous action affects the driver's attitude and driving behaviour. To examine …

This paper presents the concepts and methods utilized by Team AnnieWAY for the 2016
Grand Cooperative Driving Challenge. The paper introduces the automated vehicle …

Abstract The Quantitative Imaging Network (QIN), supported by the National Cancer Institute,
is designed to promote research and development of quantitative imaging methods and …

The driver steering performance is strongly related to gaze behavior in natural driving. The
investigation of gaze behavior is crucial for understanding driver response to driver …

Human-robot interactions (HRI) happen in a wide range of situations. Safety is one of the
biggest concerns in HRI. This paper proposes a safe set method for designing the robot …

An unmanned merchant vessel seems to be escaping from the stage of idea exploration.
Once the concept proofs its safety, it may become a part of maritime reality. Although the …

Safety requirements are among the most ambitious challenges for autonomous guidance
and control of automobiles. A human-like understanding of the surrounding traffic scene is a …

We prove that an ω-categorical core structure primitively positively interprets all finite
structures with parameters if and only if some stabilizer of its polymorphism clone has a …

Extensive studies have been conducted on unmanned vehicle recently due to its bright
prospect. However, few of them have studied the technology of driverless bus. In this paper …

High-accurate machine learning (ML) image classifiers cannot guarantee that they will not
fail at operation. Thus, their deployment in safety-critical applications such as autonomous …