Autonomous Car Based on Teaching-and-Playback Control

N. Basjaruddin, Kiki Abdul Baki, Suhendar
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引用次数: 1

Abstract

Autonomous cars or self-controlled cars are now starting to be used in general. In a limited work area, an autonomous vehicle that operates without the use of sensors and processors with high specifications can be developed. The vehicle will advance by using the trip data that has been taught previously. One of the methods of control that makes it possible to realize autonomous vehicles with a limited work area is the teaching and playback method. In this research, a remote control car is used for hardware simulation. When the car teaching mode is run via an android based remote control, while in playback mode the data stored in memory is read line-to-line to run the car. The test results produce data on the success rate of testing straight steering 80%, 60% right-turning steering, 60% left-turning steering, 70% turning right-turning steering wheel to destination 70%, and steering turning right turning left according to route and up to 60% destination.
基于教学与回放控制的自动驾驶汽车
自动驾驶汽车或自动控制汽车现在开始普遍使用。在有限的工作区域内,可以开发出不使用高规格传感器和处理器的自动驾驶汽车。车辆将使用之前教过的行程数据来前进。在有限的工作区域内实现自动驾驶汽车的控制方法之一是教学和回放方法。本研究采用遥控车进行硬件仿真。当汽车教学模式通过基于android的遥控器运行时,而在回放模式下,存储在存储器中的数据逐行读取以运行汽车。测试结果产生测试直行转向成功率80%、右转转向成功率60%、左转转向成功率60%、右转转向成功率70%、转向右转至目的地成功率70%、转向右转至目的地成功率60%等数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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