Currently, autonomous vehicles (AVs) have gained considerable research interest in motion
planning (MP) to control driving. Deep learning (DL) is a subset of machine learning …

Aiming at the path planning and decision-making problem, multi-automated guided vehicles
(AGVs) have played an increasingly important role in the multi-stage industries, eg, textile …

Featured Application This paper contains a comprehensive review of the current state-of-the-
art machine vision algorithms used to build a pipeline towards assisted driving and fully …

The research field of autonomous self-driving vehicles has recently become increasingly
popular. In addition, motion-planning technology is essential for autonomous vehicles …

Automotive engineering is an area of great value and development. Lately, it has evolved
rapidly because of autonomous vehicles. The development of smart mobility will be crucial …

With the development of e‐commerce, the last‐mile delivery has become a significant part of
customers' shopping experience. In this paper, an autonomous last‐mile delivery method …

In recent years, the automotive industry has witnessed significant progress in the
development of automated driving technologies. The integration of advanced sensors and …

This paper presents a novel approach for improving the safety of vehicles equipped with
Adaptive Cruise Control (ACC) by making use of Machine Learning (ML) and physical …

A novel algorithm for collision-free navigation of a mobile robot on the campus road with
pedestrian roaming is described in this paper. Proposed method uses the RGB-D depth …

The development of large cities and the increased demand for mobility in them has required
improvements and changes in the way we transport ourselves. This change has generated …