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SCIENTIA SINICA Informationis, Volume 48, Issue 8: 1083-1096(2018) https://doi.org/10.1360/N112018-00028

Interactive cognition in self-driving

More info
  • ReceivedFeb 3, 2018
  • AcceptedMar 13, 2018
  • PublishedMay 22, 2018

Abstract

In recent years, self-driving approaches, such as Tesla, Waymo, and Intel, have focused on computational awareness, including cognitive perception, planning, and decision making. However, little effort has been concentrated on interactive cognition. This problem is important for unmanned vehicles to be accepted by society. Targeting on this urgent issue, we analyze the richness and difficulties of the interactive cognition of self-driving vehicles. The interactive cognition of self-driving can be divided into the vehicle intelligent speaker dialogue based on natural language interaction, body language interaction, and vehicle body language interaction. Through the interactive cognition of self-driving, it can employ intelligent speakers and the Internet to achieve the interaction between self-driving vehicles and owners, crews, operation and maintenance personnel, developers, remote service requests, etc. This paper solves the gesture recognition and understanding of pedestrians and road traffic police, and also overcomes two typical body interaction problems, including the car-meeting task at narrow roads and the car overtaking/merging task. Finally, based on many self-driving interactive cognitions, we provide an interactive bus architecture that is independent of a decision bus, and apply it in various types of smart cars.


Funded by

国家自然科学基金(61671267,61672178)

英国皇家工程院牛顿基金项目(UK-CIAPP$\setminus$324)

北京市自然科学基金(4182022)

北京联合大学2017年度人才强校百杰计划(BPHR2017CZ10)


Acknowledgment

本文撰写过程中, 得到清华大学戴琼海院士、北京联合大学李学伟教授、鲍泓教授、杨鹏教授、杜煜教授、刘元盛教授、程光教授、刘宏哲教授等的大力支持和帮助, 在此表示最诚挚的感谢. 北京联合大学徐歆恺老师、张欢老师、郑颖、逄桂林参与论文资料整理, 在此一并感谢.


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  • Table 1   SAE J3016 for automated driving systems levels

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