An inference model of driving environment relationship based on rules and cases

Maoyuan Cui; Yanxi Gao; Huiqin Zhan; Jiaying He; Wenbo Wei

doi:10.1117/12.2622726

1 December 2021 An inference model of driving environment relationship based on rules and cases

Maoyuan Cui, Yanxi Gao, Huiqin Zhan, Jiaying He, Wenbo Wei

Proceedings Volume 12079, Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering; 120791O (2021) https://doi.org/10.1117/12.2622726
Event: 2nd IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, 2021, Xi'an, China

Abstract

In today’s most researches on autonomous driving, similar to industrial robot systems relying on sensor information to avoid obstacles, there is no prior knowledge to support logical reasoning analysis of their environment, which will make autonomous vehicles not receive enough information on traffic scenes and participate in traffic. Insufficient description of the contextual relationship between participants may lead to unreasonable decision-making in obstacle avoidance behavior and cause traffic accidents. Therefore, it is necessary to explore a safe driving behavior decision-making method from the perspective of knowledge reasoning for existing autonomous vehicles. This paper proposes an ontology-based self-driving car scene modeling and driving environment relationship inference method in an urban environment. By establishing a structured ontology model that considers the semantic relevance of scene elements, the driving scene is modeled. The knowledge-based reasoning decision model imitates the behavioral decision-making process of a human driver by the mapping relationship of "scene feature-driving action". This type of model stores driving knowledge. The driving knowledge here is mainly manifested from rules, cases to driving actions. The mapping relationship is used to establish a knowledge base containing driving knowledge and experience to provide behavioral decision-making suggestions for the future decision-making system of the vehicle.

Citation Download Citation

Maoyuan Cui, Yanxi Gao, Huiqin Zhan, Jiaying He, and Wenbo Wei "An inference model of driving environment relationship based on rules and cases", Proc. SPIE 12079, Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, 120791O (1 December 2021); https://doi.org/10.1117/12.2622726

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KEYWORDS

Signal processing

Environmental sensing

Roads

Unmanned vehicles

Rule based systems

Sensors

Intelligence systems

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