Working model of Self-driving car using Convolutional Neural Network, Raspberry Pi and Arduino

A. Jain
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引用次数: 49

Abstract

The evolution of Artificial Intelligence has served as the catalyst in the field of technology. We can now develop things which was once just an imagination. One of such creation is the birth of self-driving car. Days have come where one can do their work or even sleep in the car and without even touching the steering wheel, accelerator you will still be able to reach your target destination safely. This paper proposes a working model of self-driving car which is capable of driving from one location to the other or to say on different types of tracks such as curved tracks, straight tracks and straight followed by curved tracks. A camera module is mounted over the top of the car along with Raspberry Pi sends the images from real world to the Convolutional Neural Network which then predicts one of the following directions. i.e. right, left, forward or stop which is then followed by sending a signal from the Arduino to the controller of the remote controlled car and as a result of it the car moves in the desired direction without any human intervention.
基于卷积神经网络、树莓派和Arduino的自动驾驶汽车工作模型
人工智能的发展在技术领域起到了催化剂的作用。我们现在可以开发曾经只是想象的东西。其中一个发明就是自动驾驶汽车的诞生。人们可以在车里工作甚至睡觉的日子已经到来,甚至不用碰方向盘、油门,你仍然能够安全到达目的地。本文提出了一种自动驾驶汽车的工作模型,该模型能够从一个位置行驶到另一个位置,或者说在不同类型的轨道上行驶,例如曲线轨道,直线轨道和直线后曲线轨道。与树莓派一起安装在汽车顶部的摄像头模块将来自现实世界的图像发送到卷积神经网络,然后预测以下方向之一。即右,左,前进或停止,然后通过Arduino向遥控汽车的控制器发送信号,从而使汽车在没有任何人为干预的情况下朝着所需的方向移动。
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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