Adequate mathematical description of magnetization curves is indispensable in
engineering. The accuracy of the description has a significant impact on the design of …

In order to reduce the solving dimension of trajectory planning process and improve the
solving efficiency, the path and speed are often decoupled in the planning process of …

Roundabouts are a prevalent form of road infrastructure that effectively control traffic flow
and significantly decrease the occurrence of accidents in contrast to traditional intersections …

Reinforcement learning methods have shown the ability to solve challenging scenarios in
unmanned systems. However, solving long-time decision-making sequences in a highly …

This paper proposes a Multi-Risk Assessment and Management Control Strategy (MRAM-
CS) allowing autonomous vehicles (called Ego-Vehicles (EVs) in what follows) to apply an …

Many gaze tracking applications focus on use in personal devices such as mobile phones
and PCs. However, gaze tracking in large screens poses challenges because with an …

Path planning plays a major role in autonomous vehicle navigation. Among different kinds of
intersections, roundabouts are far more difficult to plot a course than other intersections due …

The homogeneity of irradiation within a solar spectrum simulator is pivotal for the precise
assessment of photovoltaic products' characteristics. This paper explores the challenge …

Path planning is one of the important technologies constituting an autonomous navigation
system, aims to create a path from a starting point to a destination point. The generated path …

Adequate mathematical description of magnetization curves is indispensable in
engineering. The accuracy of the description has significant impact on design of electric …