10最好的自驾车教程推荐

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特写 iPhone，显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 自驾车 技能并获得 自驾车 证书。

在这篇博客文章中，我们的专家汇总了 10 个精选列表 最好的 自驾车 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容！

10最好的自驾车教程推荐

课程名 在校生（人数） 评论（计数）
1. The Complete Self-Driving Car Course – Applied Deep Learning 我们的最佳选择 20930+ 3643+
2. Autonomous Cars: Deep Learning and Computer Vision in Python 9440+ 1016+
3. Autonomous Cars: How Do They Work and Impact Us? 3852+ 867+
4. Autonomous Robots: Model Predictive Control 2116+ 378+
5. Advanced Kalman Filtering and Sensor Fusion 2020+ 202+
6. “Autonomous Cars, Drones & Electric Mobility – Top Track 2021” 284+ 25+
7. Autonomous Cars: The Complete Computer Vision Course 2022 209+ 23+
8. SOTIF Safety of Intended functionality -automotive ISO 21448 198+ 51+
9. Autonomous Vehicles: A Complete Guide on Driverless Cars 51+ 20+
10. Hema’s ISO 21448 SOTIF -Safety Of The Intended Functionality 9+ 2+

1. The Complete Self-Driving Car Course – Applied Deep Learning 经过 “Rayan Slim, Amer Sharaf, Jad Slim, Sarmad Tanveer” Udemy课程 我们的最佳选择

“Learn to use Deep Learning, Computer Vision and Machine Learning techniques to Build an Autonomous Car with Python”

截至目前，超过 20930+ 人们已经注册了这门课程，而且已经结束了 3643+ 评论.

课程内容
Introduction
Installation
Python Crash Course (Optional)
NumPy Crash Course (Optional)
Computer Vision: Finding Lane Lines
The Perceptron
Keras
Deep Neural Networks
Multiclass Classification
MNIST Image Recognition
Convolutional Neural Networks
Classifying Road Symbols
Polynomial Regression
Behavioural Cloning

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2. Autonomous Cars: Deep Learning and Computer Vision in Python 经过 “Sundog Education by Frank Kane, Frank Kane, Dr. Ryan Ahmed, Ph.D., MBA, Mitchell Bouchard, Sundog Education Team” Udemy课程

“Learn OpenCV, Keras, object and lane detection, and traffic sign classification for self-driving cars”

截至目前，超过 9440+ 人们已经注册了这门课程，而且已经结束了 1016+ 评论.

课程内容
Environment Setup and Installation
Introduction to Self-Driving Cars
Python Crash Course [Optional]Computer Vision Basics: Part 1
Computer Vision Basics: Part 2
Computer Vision Basics: Part 3
Machine Learning: Part 1
Machine Learning: Part 2
Artificial Neural Networks
Deep Learning and Tensorflow: Part 1
Deep Learning and Tensorflow: Part 2
Wrapping Up

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3. Autonomous Cars: How Do They Work and Impact Us? 经过 David Kleinz Udemy课程

Everything You Need to Know About Autonomous Driving / Self-driving / Driverless / Robot Cars. Functionality To Impact.

截至目前，超过 3852+ 人们已经注册了这门课程，而且已经结束了 867+ 评论.

课程内容
Welcome!
What are autonomous cars?
Is it safe?
How do autonomous cars work?
How do cars perceive?
How do cars think?
How will it impact us?
Thank you!

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4. Autonomous Robots: Model Predictive Control 经过 “Daniel Stang, MSc” Udemy课程

“Learn to make a Self-Driving or Autonomous Car follow the speed limit, pull into parking spaces, and avoid obstacles!”

截至目前，超过 2116+ 人们已经注册了这门课程，而且已经结束了 378+ 评论.

课程内容
Introduction
Problem Setup
Highway Speed Control
Parking Control
Obstacle Avoidance
Outro

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5. Advanced Kalman Filtering and Sensor Fusion 经过 Steven Dumble Udemy课程

Theory and C++ Simulation Implementation for Autonomous Vehicles and Self Driving Cars!

截至目前，超过 2020+ 人们已经注册了这门课程，而且已经结束了 202+ 评论.

课程内容
Welcome
Introduction
Background Theory
Linear Kalman Filter
Extended Kalman Filter
Unscented Kalman Filter
Filtering in the Real World
Capstone Project
Conclusion

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6. “Autonomous Cars, Drones & Electric Mobility – Top Track 2021” 经过 Feras Naser Udemy课程

“A ZERO to HERO Course on Autonomous Cars, Drones and Electric Mobility. Theory, Simulation and Code Writing.”

截至目前，超过 284+ 人们已经注册了这门课程，而且已经结束了 25+ 评论.

课程内容
“Transportation in the 21st Centaury
Electric Cars and Electric Mobility
Drones – UAV in the 21st Centaury
Unmanned Aerial Vehicles Software, Simulation and Control
ِAn Introduction to Autonomous Cars
State Estimation, Localization and Visual Perception
Motion Planning for Self Driving Vehicle
Autonomous Cars Code and Simulation – Practical Section
Innovation Wednesdays
Questions Thursdays”

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7. Autonomous Cars: The Complete Computer Vision Course 2022 经过 Hoang Quy La Udemy课程

“Learn OpenCV 4, YOLO, road markings and pedestrians detection, and traffic sign classification for self-driving cars”

截至目前，超过 209+ 人们已经注册了这门课程，而且已经结束了 23+ 评论.

课程内容
Introduction (New Content)
Activation function
Basic Deep Learning Project (NEW CONTENT ADDED)
Computer vision for Self-driving Cars (NEW CONTENT)
Detection of road markings by OpenCV (New Content)
Road Sign Detection (New Content)
Detecting Pedestrian Project (New Content)
Semantic Segmentation (New Content)
Vehicle Detection (New Content)
Thank you

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8. SOTIF Safety of Intended functionality -automotive ISO 21448 经过 Suraj Chandwani Udemy课程

ISO 21448 applies to functionality that requires proper situational awareness in order to be safe in absence of fault

截至目前，超过 198+ 人们已经注册了这门课程，而且已经结束了 51+ 评论.

课程内容
Coarse Promo
Introduction of trainer
Introduction to SOTIF
Step 1: Accident model
Step 2: Derive UCA
Final step: Causal factor analysis

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9. Autonomous Vehicles: A Complete Guide on Driverless Cars 经过 Wizdom Learning Udemy课程

“A 360-degree view on self-driving vehicles, autonomous technology, trends and applications impacting the driverless tech”

截至目前，超过 51+ 人们已经注册了这门课程，而且已经结束了 20+ 评论.

课程内容
What are Autonomous Vehicles
Industry Trends
Levels of Autonomy
Technology Inside the Autonomous vehicle
Risks & Concerns
Future Roadmap

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10. Hema’s ISO 21448 SOTIF -Safety Of The Intended Functionality 经过 Krishna Hema Thota Udemy课程

ISO PAS 21448 – SOTIF – Safety Of The Intended Functionality

截至目前，超过 9+ 人们已经注册了这门课程，而且已经结束了 2+ 评论.

课程内容
Introduction – Why SOTIF is introduced even though we have Functional safety?
SOTIF Work Flow and Analysis
Relationship between SOTIF and Functional Safety
Detailed Clause level explanation of SOTIF
Clause wise explanation of SOTIF Part 2
STPA in detail

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下面是一些关于学习的常见问题自驾车

学习自驾车需要多长时间？

“学习自驾车需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求，每个人都在不同的场景下工作，所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题：你想学习 自驾车 是为了什么？你的出发点在哪里？您是初学者还是有使用 自驾车 的经验？你能练习多少？每天1小时？每周40小时？ 查看本课程关于 自驾车.

自驾车 学起来容易还是难？

不，学习 自驾车 对大多数人来说并不难。检查这个 关于如何学习的课程 自驾车 立刻！

如何快速学习自驾车？

学习 自驾车 最快的方法是先得到这个 自驾车 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 自驾车？

如果您想探索和学习 自驾车，那么 Udemy 为您提供了学习 自驾车 的最佳平台。查看此 关于如何学习的课程 自驾车 立刻！