Social Cognitive Autonomous Driving

doi:10.3901/JME.2023.20.304

Abstract

Abstract: Autonomous driving technology is in the rapid development from L3 to L4. Improving the scene adaptability of autonomous driving system has become the main task at this stage. In urban mixed traffic flow scenarios, the road topology structure is more complex, the types of traffic participating units are various, and the traffic flow is more intensive. There is a significant strong interactive game process, which brings huge challenges to the safe and efficient driving of autonomous driving vehicle. At the same time, urban travel demands are more diverse. With the development of intelligent cockpit and artificial intelligence technology, the expectation of vehicle intelligent and humanized service is increasing. Therefore, endowing the autonomous driving system with socialized attributes and social cognitive ability has become an important development goal of the current autonomous driving technology, so as to improve the driving safety and efficiency of autonomous vehicles while serve the in-cabin drivers and passengers better at the same time. Firstly, with the goal of constructing the intelligent and connected vehicle safety driving brain, the framework of social cognitive autonomous driving is proposed by integrating the subjects of autonomous driving, cognitive psychology and social psychology. Secondly, the introduction of preliminary research on vehicle external interactions focuses on social cognitive vehicle aggression modelling, social cognitive decision making in strong interaction scenarios, and cognitive decision making in emergency conditions. For vehicle internal interactions, the introduction focuses on intelligent cockpit scenarios-functional system, in-cabin person emotion cognition and regulation, and human-machine takeover based on social cognitive automatic driving. Finally, the paper is summarized in the last section.

Key words: autonomous driving, social cognitive, mixed traffic, decision and planning

CLC Number:

U461

WANG Cong, HU Wen, LI Wenbo, XING Yang, CHEN Hongchang, CAO Dongpu. Social Cognitive Autonomous Driving[J]. Journal of Mechanical Engineering, 2023, 59(20): 304-324.

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