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Issue title: Fuzzy logic systems for transportation engineering
Guest editors: Dalin Zhang, Sabah Mohammed and Alessandro Calvi
Article type: Research Article
Authors: Gao, Xianpinga; b; * | Bian, Xuelianga
Affiliations: [a] School of Mechanical Engineering, Hebei University of Technology, Tianjin, China | [b] School of Automotive & Transportation, Tianjin University of Technology & Education, Tianjin, China
Correspondence: [*] Corresponding author. Xianping Gao, E-mail: xue113688@163.com.
Abstract: With the fast development, Internet technology has become a game-changer to the automotive industry. The advances and general applications of high-precision maps make it possible for accurate real-time positioning of vehicles. Meanwhile, the extensive applications of intelligent driving technology make it easier and more intelligent to drive vehicles. This paper reviewed the application of artificial intelligence (AI) in the field of autonomous driving comprehensively and explored the innovative studies of other unmanned motion systems at the same time. Firstly, the hardware architecture of the autonomous driving system is introduced, including five modules as follows: sensing, autonomous driving computer, power supply, signal communication, execution and braking. In addition, General Motors autonomous vehicle is used as an example to introduce its differences from the traditional vehicles in the hardware part. Subsequently, the autonomous driving software is divided into four modules according to functions: positioning, sensing, planning, and control, and the innovative application of artificial intelligence algorithms is introduced. Finally, this paper expands from autonomous driving technology and puts forward an innovative research idea for the intelligent unmanned system.
Keywords: Autonomous driving, artificial intelligence, high-precision map, neural network, unmanned system
DOI: 10.3233/JIFS-189982
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4955-4964, 2021
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