Build Your own Self Driving Car [Course -2]

所在平台: Udemy

课程主页: https://www.udemy.com/course/selfdrivingcarpart2/

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**课程名称:** 打造属于你自己的自动驾驶汽车 (课程-2) **课程概述:** 本课程深入探讨机器学习在自动驾驶领域的应用,并提供从设计、建造到编程的嵌入式物联网项目(自动驾驶汽车)的完整流程。课程以清晰详细的讲解,将整个项目分为两个部分。 **课程内容 (课程-2):** 1. **停车标志检测:** (已发布) 2. **物体检测:** (已发布) 3. **交通信号灯检测:** (已发布) 4. **LED动态转向指示器:** (已发布) **课程内容 (课程-1 - 先修课程):** 1. **自动驾驶汽车硬件设计:** * 设置任何项目的Master设备(树莓派)。 * 设置任何项目的Slave设备(Arduino UNO)。 * 建立Master与Slave设备之间的通信链路。 2. **使用OpenCV进行图像处理。** 3. **学习如何在道路车道上驾驶机器人。** **课程重要性:** 机器学习正在改变我们的生活。它驱动着自动驾驶汽车的实现。机器学习为企业提供了客户行为趋势和业务运营模式的洞察,并支持新产品的开发。Facebook、Google和Uber等众多领先企业都将机器学习作为其运营的核心部分,使其成为重要的竞争优势。

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"Machine Learning will change the lives of all of us. What is Machine Learning? It's behind what makes self-driving cars a reality"This unique course is a complete walk-through process to Design, Build and Program a Embedded IOT Project (Self driving Car). Everything is discussed with details and clear explanation. Whole Project is divided into 2 parts.(Course - 2) Contents:1. Stop Sign Detection (Published)2. Object Detection (Published)3. Traffic Light Detection (Published)4. LED Dynamic Turn Indicator (Published)(Course - 1) Previous Course1. Learn to design complete hardware for self driving car a. Learn to setup Master device ( Raspberry Pi ) for any project b. Learn to setup Slave device ( Arduino UNO ) for any project c. Learn to Establish Communication link between Master and Slave device2. Learn Image Processing using OpenCV43. Learn to driver robot on road lanes"Machine Learning will change the lives of all of us. What is Machine Learning? It's behind what makes self-driving cars a reality"Machine learning is important because it gives enterprises a view of trends in customer behavior and business operational patterns, as well as supports the development of new products. Many of today's leading companies, such as Facebook, Google and Uber, make machine learning a central part of their operations. Machine learning has become a significant competitive differentiator for many companies

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