Difficulty Analysis and Prospect of Autonomous Vehicle Mass Production

LI Deyi; ZHAO Fei; LIU Meng; WANG Jian

doi:10.13203/j.whugis20180364

Volume 43 Issue 12

Dec. 2018

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Geomatics and Information Science of Wuhan University > 2018 > 43(12): 1775-1779. > DOI: 10.13203/j.whugis20180364

LI Deyi, ZHAO Fei, LIU Meng, WANG Jian. Difficulty Analysis and Prospect of Autonomous Vehicle Mass Production[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 1775-1779. DOI: 10.13203/j.whugis20180364

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Difficulty Analysis and Prospect of Autonomous Vehicle Mass Production

1.
Academy of Military Science, Beijing 100036, China
2.
School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
3.
State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing 100191, China

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The National Key Research and Development Program of China 2017YFC0804802

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Author Bio:
LI Deyi, professor, Academician of Chinese Academy of Engineering, Academician of International Eurasian Academy of Sciences, specializes in the theories and methods of artificial intelligence and self-driving. E-mail: lidy@cae.cn
Corresponding author:
WANG Jian, PhD, associate professor. E-mail: wj1974@buaa.edu.cn
Received Date: September 11, 2018
Published Date: December 04, 2018

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Abstract

With the rapid development of self-driving technology, the mass production of self-driving vehicles is coming. The key self-driving technologies play an important role in promoting the mass production of self-driving vehicles and researches in related fields. Facing the key technical issues in the mass production process of self-driving vehicles, this paper firstly analyzes the technical difficulties in the current autonomous driving from three aspects:automotive drive-by-wire technology, energy power technology and driving cognition technology. Then aiming at the driving cognition, this paper proposes that the driving brain with driving cognitive ability, memory ability, decision-making ability and behavior ability is an effective method to realize the formalization of driving cognition. Finally, mass production strategies of self-driving vehicles are put forward for specific scenario application, making an attempt to provide certain reference for practical obstacles in self-driving.
- self-driving technology,
- mass production,
- driving brain,
- driving cognition

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