The advancement in sensor technologies, mobile network technologies, and artificial
intelligence has pushed the boundaries of different verticals, eg, eHealth and autonomous …

There is a group of users within the vehicular traffic ecosystem known as Vulnerable Road
Users (VRUs). VRUs include pedestrians, cyclists, motorcyclists, among others. On the other …

This paper considers the problem of minimum-time smooth trajectory planning for wheeled
mobile robots. The smooth path is defined by several Bézier curves and the calculated …

Autonomous decision making and motion planning in complex dynamic traffic environments,
such as left-turn without traffic signals and multi-lane merging from side-ways, are still …

The path planning of mobile robots is an optimization problem that is difficult to solve directly
owing to its nonlinear characteristics. This letter proposes the “global-local” Coupling Two …

Automated Driving Systems (ADS) have received a considerable amount of attention in the
last few decades, as part of the Intelligent Transportation Systems (ITS) field. However, this …

Both path and speed planning play key roles in automated driving, specially when a certain
comfort level is required. This paper proposes a human-like speed planning method for …

Localization plays an important role in autonomous driving since a high level of accuracy in
vehicle localization is indispensable for a safe navigation. Most of the motion planning …

The number of research papers on decision-making systems in automated driving has
increased significantly over the last few years. Decision-making for automated driving can …

Maneuver decision-making and trajectory planning play important roles in autonomous
driving since a safe and flexible decision module is indispensable for navigation. Typical …