An Overview of the Latest Progress and Core Challenge of Autonomous Vehicle Technologies

The mass production of autonomous vehicle is coming, thanks to the rapid progress of autonomous driving technology, especially the recent breakthroughs in LiDAR sensors, GPUs, and deep learning. Many automotive and IT companies represented by Waymo and GM are constantly promoting their advanced auto...

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Main Authors: Liu Zongwei, Jiang Hao, Tan Hong, Zhao Fuquan
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:MATEC Web of Conferences
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2020/04/matecconf_ictte2019_06002.pdf
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spelling doaj-3086fa222e6c466e8c476774233183452021-08-05T13:49:25ZengEDP SciencesMATEC Web of Conferences2261-236X2020-01-013080600210.1051/matecconf/202030806002matecconf_ictte2019_06002An Overview of the Latest Progress and Core Challenge of Autonomous Vehicle TechnologiesLiu ZongweiJiang HaoTan HongZhao FuquanThe mass production of autonomous vehicle is coming, thanks to the rapid progress of autonomous driving technology, especially the recent breakthroughs in LiDAR sensors, GPUs, and deep learning. Many automotive and IT companies represented by Waymo and GM are constantly promoting their advanced autonomous vehicles to hit public roads as early as possible. This paper systematically reviews the latest development and future trend of the autonomous vehicle technologies, discusses the extensive application of AI in ICV, and identifies the key problems and core challenges facing the commercialization of autonomous vehicle. Based on the review, it forecasts the prospects and conditions of autonomous vehicle’s mass production and points out the arduous, long-term and systematic nature of its development.https://www.matec-conferences.org/articles/matecconf/pdf/2020/04/matecconf_ictte2019_06002.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Liu Zongwei
Jiang Hao
Tan Hong
Zhao Fuquan
spellingShingle Liu Zongwei
Jiang Hao
Tan Hong
Zhao Fuquan
An Overview of the Latest Progress and Core Challenge of Autonomous Vehicle Technologies
MATEC Web of Conferences
author_facet Liu Zongwei
Jiang Hao
Tan Hong
Zhao Fuquan
author_sort Liu Zongwei
title An Overview of the Latest Progress and Core Challenge of Autonomous Vehicle Technologies
title_short An Overview of the Latest Progress and Core Challenge of Autonomous Vehicle Technologies
title_full An Overview of the Latest Progress and Core Challenge of Autonomous Vehicle Technologies
title_fullStr An Overview of the Latest Progress and Core Challenge of Autonomous Vehicle Technologies
title_full_unstemmed An Overview of the Latest Progress and Core Challenge of Autonomous Vehicle Technologies
title_sort overview of the latest progress and core challenge of autonomous vehicle technologies
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2020-01-01
description The mass production of autonomous vehicle is coming, thanks to the rapid progress of autonomous driving technology, especially the recent breakthroughs in LiDAR sensors, GPUs, and deep learning. Many automotive and IT companies represented by Waymo and GM are constantly promoting their advanced autonomous vehicles to hit public roads as early as possible. This paper systematically reviews the latest development and future trend of the autonomous vehicle technologies, discusses the extensive application of AI in ICV, and identifies the key problems and core challenges facing the commercialization of autonomous vehicle. Based on the review, it forecasts the prospects and conditions of autonomous vehicle’s mass production and points out the arduous, long-term and systematic nature of its development.
url https://www.matec-conferences.org/articles/matecconf/pdf/2020/04/matecconf_ictte2019_06002.pdf
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