Automated driving is an inevitable trend in future transportation, it is also one of the eminent
achievements in the matter of artificial intelligence. Deep learning produces a significant …

Recently, face image inpainting has become a fascinating research area in the field of deep
learning. However, the existing methods have the disadvantage that the image inpainting …

In this paper, we present a novel deep learning method for detecting and tracking vehicles
within the context of autonomous driving, particularly focusing on scenarios related to …

Efficient fruit detection and counting are crucial to improve fruit industrial efficiency and
assist the farmers to develop reasonable harvesting strategies in advance while significantly …

In the lighting conditions such as hazing, raining, and weak lighting condition, the accuracy
of traffic sign recognition is not very high due to missed detection or incorrect positioning. In …

Visual object recognition is one of the most important and tough problems in computer
vision. It targets various visual objects within realistic and real-time images. In depth, deep …

Road scene analysis is a wide domain of research that aims to ameliorate the environmental
perception in intelligent transportation systems, including autonomous vehicles and …

The rapid development of computer vision technology helps us realize intelligent life. It is
also becoming more and more widely used. Self-driving technology can help us drive cars …

There are a plethora of deep learning platforms available at present. The famous one is
MATLAB deep learning toolbox developed by MathWorks which simplifies deep learning …

Automatic or auxiliary driving system is becoming popular in recent years. Safe following
distance monitoring will help the driver to prevent traffic accident happens. There are a spate …