基于模糊逻辑的自动驾驶赛车控制系统

B. Korkmaz, Ugur Bugra Etlik, Aykut Beke, T. Kumbasar
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引用次数: 2

摘要

在这项研究中,我们提出了一个基于模糊逻辑的自动驾驶汽车控制系统,并将其部署到JavaScript赛车游戏中。在自动驾驶系统的设计中,旨在设计一个智能的车辆控制系统,使赛车在最短的时间内完成比赛,而不会偏离道路。为了实现这一目标,所提出的智能驾驶系统采用并融合了控制理论、模糊逻辑和计算机视觉的框架。该结构采用计算机视觉进行车道检测,模糊逻辑控制进行赛车的定位和速度调节。本文通过介绍智能驾驶系统的各个设计步骤,详细介绍了智能驾驶系统的结构和设计。基于模糊逻辑的自动驾驶赛车控制系统的有效性得到了仿真结果的验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy Logic Based Self-Driving Racing Car Control System
In this study, we propose a fuzzy logic based self-driving car control system and its deployment into the JavaScript Racer game. In the design of the self-driving system, it is aimed to design an intelligent vehicle control system such that the racing car finishes the race in the shortest time without getting out of the road. To accomplish such a goal, the proposed intelligent driving system takes up and merges the frameworks of control theory, fuzzy logic and computer vision. In this structure, computer vision is used for lane detection while the fuzzy logic control is employed for positioning and regulating the speed of the racing car. The paper presents in detail the structure and design of the intelligent driving system by presenting all of its design steps. The efficiency of the fuzzy logic based self-driving racing car control system is shown with results collected from the game environment.
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