The modeling of driver behavior plays an essential role in developing Advanced Driver
Assistance Systems (ADAS) to support the driver in various complex driving scenarios. The …

This paper proposes a vehicle-parking trajectory planning method that addresses the issues
of a long trajectory planning time and difficult training convergence during automatic …

This paper presents a learning-based model predictive trajectory planning controller for
automated driving in unstructured, dynamic environments with obstacle avoidance. We first …

Integrated chassis control systems represent a significant advancement in the dynamics of
ground vehicles, aimed at enhancing overall performance, comfort, handling, and stability …

In this paper, we address the problem of real-time navigation and obstacle avoidance for
automated guided vehicles (AGVs) in dynamic environments, which is a primary research …

In the Internet of Things (IoT) era, telepresence robots (TRs) are increasingly a part of
healthcare, academia, and industry due to their enormous benefits. IoT provides a sensor …

This study proposes an adaptive robot pathfinding algorithm (MS-W-Theta*) based on fused
trajectory smoothing with 3D maps. Firstly, we introduce an obstacle buffer in the 3D map …

This study presents a general optimal trajectory planning (GOTP) framework for autonomous
vehicles (AVs) that can effectively avoid obstacles and guide AVs to complete driving tasks …

Obstacle avoidance is a fundamental operation for automated driving and its formulation
traditionally originates from robotics and decision making control fields. Given the high …

Featured Application Healthcare, remote sensing, and military. Abstract Background: Over
the last few decades, telepresence robots (TRs) have drawn significant attention in …