利用人工智能算法开发自动驾驶汽车

Ahsan Kabir Nuhel, Mir Mohibullah Sazid, Md. Nafim Mahmud Bhuiyan, Ariful Islam Arif, Priyadarshini Hriddhi Roy, Md Riazul Islam
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引用次数: 1

摘要

全自动驾驶系统允许自动驾驶车辆适应人类驾驶员通常会处理的外部条件。本研究将使用深度学习(DL)、机器学习(ML)、计算机视觉(CV)和传统神经网络(CNN),通过对车身设计和汽车底盘上各种传感器的建模,开发自动驾驶汽车,以实现汽车的自动运行。此外,汽车将进行实时的道路产科和自我训练,以适当地学习自己。相比之下,人工智能的基本原理及其与自动驾驶汽车的关系进行了研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing a Self-Driving Autonomous Car using Artificial Intelligence Algorithm
A fully automated driving system allows an autonomous vehicle to adapt to external conditions that a human driver would typically handle. Using deep learning (DL), machine learning (ML), computer vision (CV), and conventional neural networks (CNN), a self-driving automobile will be developed in this study by modeling the design of a car body and the implementation of various sensors on the car chassis in order to automatically run the cars. In addition, the car will undergo real-time obstetrical on the roads and self-training in order to learn itself appropriately. In contrast, the fundamental principles of artificial intelligence and their relationship to the autonomous car are examined.
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