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自动驾驶量产的难点分析及展望
引用本文:李德毅,赵菲,刘萌,王建.自动驾驶量产的难点分析及展望[J].武汉大学学报(信息科学版),2018,43(12):1775-1779.
作者姓名:李德毅  赵菲  刘萌  王建
作者单位:1.军事科学院, 北京, 100036
基金项目:国家重点研发计划2017YFC0804802
摘    要:随着自动驾驶技术的快速发展,自动驾驶汽车的量产即将到来。自动驾驶行业的关键技术对自动驾驶汽车量产及相关领域的研究有着重要的推动作用。首先,围绕自动驾驶汽车量产过程中的关键技术问题展开分析,并着重从汽车线控技术、能源动力技术和驾驶认知技术3个方面分析了当前自动驾驶中的技术难点。然后,针对驾驶认知技术,认为具有驾驶认知能力、记忆能力、决策能力和行为能力的驾驶脑是实现驾驶认知形式化的有效方式。最后,总结了面向特定落地场景实现的自动驾驶汽车量产策略,希望为自动驾驶量产中的实际问题提供参考。

关 键 词:自动驾驶技术    量产    驾驶脑    驾驶认知
收稿时间:2018-09-12

Difficulty Analysis and Prospect of Autonomous Vehicle Mass Production
Affiliation:1.Academy of Military Science, Beijing 100036, China2.School of Transportation Science and Engineering, Beihang University, Beijing 100191, China3.State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing 100191, China
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.
Keywords:
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