SHS Web Conf.
Volume 144, 20222022 International Conference on Science and Technology Ethics and Human Future (STEHF 2022)
|Number of page(s)||5|
|Section||Application of Artificial Intelligence Technology and Machine Learning Algorithms|
|Published online||26 August 2022|
Research on the Application of Deep Learning in Automatic Vehicle
School of electrical and information engineering, Tianjin University. Tianjin 300072 China
* Corresponding author. Email: email@example.com.
In recent years, various kinds of applications of artificial intelligence technology to the automatic driving vehicle were widely reported by the media, also aroused public interest. According to a survey by the Ministry of Public Security, there are more than 500 million motor vehicles in China in 2021 and more than 200 thousand traffic accidents occurred in 2021, which is a great challenge to traffic safety protection. Human reaction time, which consists of perception time and judgment time, is too long to take measures. Besides, human drivers may find it difficult to even make the right response in some complex road conditions. To improve this situation, the Intelligent Transportation System (ITS) may transform the traditional passive safety that takes protective measures after accidents into active safety that focuses on prevention. Deep learning network receives information through the vehicle-loaded sensor then makes judgments by its computing unit and prompts drivers the possible danger. This article reviewed the performance of different deep learning models in autonomous driving vehicles.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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