… limitations of current vision-based inspection systems, we propose deep learning as a …
autonomous vision-based inspection because of the following reasons: First, deep learning …

… manufacturing along with enhancing research, deep learning-based approaches could be
… vision, in this systematic review paper, we broadly discussed the literature of deep learning …

… 2, we will introduce commonly adopted deep learning backbones. These backbones are …
deep learning–based method that aimed at addressing the VMMR task. Various deep learning–…

… In this study, a quasi-autonomous vision-… deep learning technology with image processing
techniques. Firstly, a regional convolutional neural network (RCNN)-based deep learning …

… technologies have a significant impact on autonomous driving (AD), … Recently, deep learning
(DL) approaches have solved … Bevilacqua, “Computer vision and deep learning techniques …

… With the recent development in deep learning research, in this paper, we propose a LIDAR
and vision fusion system for car detection through the deep learning framework. It consists of …

… Gathering contributions from several research fields, namely computer vision, deep
learning, autonomous driving, explainable AI (X-AI), this survey tackles several points. First, it …

… Vision-based approaches are popular for this task due to cost-effectiveness and usefulness
of appearance information associated with the vision data. In this paper, a deep learning …

… of learning high level visual features. In order to overcome these limitations, we exploit
deep learning models for … Deep learning is referred to a series of multilayer representational …

… Deep learning methods are different from traditional approaches in that they automatically
and quickly learn the … to many computer vision fields, such as autonomous vehicles, speech …