The continuous advances in intelligent systems and cutting-edge technology have greatly
influenced the development of intelligent vehicles. Recently, integrating multiple sensors in …

Vehicles can utilize their sensors or receive messages from other vehicles to acquire
information about the surrounding environments. However, the information may be …

The evolution of engineering applications is highly relevant in the context of protecting
industrial systems. As industries are increasingly interconnected, the need for robust …

During the past three decades, it is witnessed that a lot of intense interests and quick
advancements have been poured down to the field of robot vehicles. Multiple types of …

This paper introduces an innovative deep learning framework for robotic path planning. This
framework addresses two fundamental challenges:(1) integration of mission specifications …

Humanlike driving is significant in improving the safety and comfort of automated vehicles.
This paper proposes a personalized motion planning method with driver characteristics in …

Abstract LiDAR (Light Laser Detection and Ranging) is a potential technology that can
acquire multi-dimensional and multi-wavelength imaging information. A non-uniform …

In this review we have surveyed the literature on the autonomous vehicle focusing on the
decision-making architecture. The main contribution of this paper is to provide an up-to-date …

Predicting the trajectories of surrounding vehicles plays an important role in the driving
safety of autonomous vehicles. It impacts the decision making, path planning, and vehicle …

In scenarios where complex analyses are routinely conducted on similar structures, such as
in a redesign process to meet performance requirements or when input parameters require …