AI for Autonomous Vehicles and Robotics

Intermediate Level
6 hours to complete 3 weeks at 2 hours a week
Flexible Schedule

Wei Lu

What You’ll Learn

Revise

Skills You’ll Gain

Image Analysis Artificial Neural Networks Artificial Intelligence and Machine Learning (AI/ML) Statistical Machine Learning Automation Reinforcement Learning Machine Learning Algorithms Algorithms Machine Learning Deep Learning Artificial Intelligence Computer Vision Machine Learning Methods

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There are 3 modules in this course

In the first module, we describe several types of robotics and explain key technologies for self-driving cars. We will also explain the application of AI in autonomous systems.

In Module 2, we will review various types of algorithms that are used in robotics and self-driving cars and explain in more detail the principles and functions of key algorithms. We will also examine the applications of algorithms such as reinforcement learning and object detection techniques.

In the third Module, we will discuss the following concepts related to robotics: motion planning, perception, and learning. For self-driving cars, we will examine state estimation, localization, and visual perception. Finally, we review the applications of key algorithms such as object detection techniques.