Self-driving cars are a hot research topic in science and technology, which has a great
influence on social and economic development. Deep learning is one of the current key …

This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …

Artificial Intelligence (AI) is revolutionizing the modern society. In the automotive industry,
researchers and developers are actively pushing deep learning based approaches for …

Over the past decades Machine Learning and Deep Learning algorithm played a vital part in
the development of Autonomous Vehicle. It is indeed for the perception system to examine …

The autonomous vehicle, as an emerging and rapidly growing field, has received extensive
attention for its futuristic driving experiences. Although the fast developing depth sensors …

We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …

Inspired by the UNet architecture of semantic image segmentation, we propose a lightweight
UNet using depthwise separable convolutions (DSUNet) for end-to-end learning of lane …

When human drivers let intelligent software take the wheel: the beginning of a new era in
personal mobility.“Smart, wide-ranging,[and] nontechnical.”—Los Angeles Times “Anyone …

The advancement of Computer Vision these days has grown up beyond imagination.
Recently, many researchers and tech companies are competing to develop self-driving car …

Recently, the amount of research in the field of self-driving cars has grown significantly with
autonomous vehicles having clocked in more than 10 million miles, providing a substantial …