The Visual Representation and Acquisition of Driving Knowledge for Autonomous Vehicle

2nd International Conference on Automation, Control and Robotics Engineering

工业技术;计算机科学;无线电电子学

Zhang, Zhaoxia^1,4 ; Jiang, Qing^2 ; Li, Ping^3 ; Song, Liangtu^2 ; Wang, Rujing^2 ; Yu, Biao^4 ; Mei, Tao^1

University of Science and Technology of China, Heifei, China^1

Institute of Intelligent Machines, Chinese Academy of Science, Heifei, China^2

Anhui Xinhua College, Heifei, China^3

Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Science, Heifei, China^4

关键词: Automatic driving;    Autonomous Vehicles;    Development platform;    Driving knowledge;    Intelligent decision making;    Visual representations;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/235/1/012011/pdf
DOI  :  10.1088/1757-899X/235/1/012011

来源: IOP

【 摘 要 】

In this paper, the driving knowledge base of autonomous vehicle is designed. Based on the driving knowledge modeling system, the driving knowledge of autonomous vehicle is visually acquired, managed, stored, and maintenanced, which has vital significance for creating the development platform of intelligent decision-making systems of automatic driving expert systems for autonomous vehicle.