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
Citation: 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

Difficulty Analysis and Prospect of Autonomous Vehicle Mass Production

  • 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.
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