Identifying Objects with AI and Radar
Learn how radar sees the world and how artificial intelligence turns raw radio signals into recognizable objects. You will understand the link between physical sensors and the software that makes sense of them.
About this course
Most people know radar as a tool for pilots or weather forecasters. In modern tech, it is what allows a car to see through a blizzard or a security system to track movement through a wall. This course explains how that shift happened. You will start with the basic mechanics of how radio waves bounce off objects and return as signals. Physics can tell you how far away an object is, but it often fails to tell a bush from a bicycle. This is where AI comes in. You will see how neural networks find specific patterns in pulses of energy that human math usually misses. We will show you why traditional methods struggle in messy environments and how machine learning solves that problem. By the end, you will understand how these systems operate in the real world. We cover how engineers handle interference from rain or ground clutter to keep sensors accurate. You will walk away knowing how hardware and software work together to make fast, safe decisions in autonomous systems.
Details
Skills you'll learn
Radio Wave Analysis
Categorize how radio signals change based on the surface material they strike.
Neural Pattern Recognition
Explain how AI distinguishes between static obstacles and moving people in a signal pulse.
Signal Filtering
Remove environmental noise from raw radar data to maintain signal clarity.
Safety System Design
Design the logic for safety systems that combine radar sensors with machine learning.
Syllabus
3 units • 9 lessons • 2 projects • 3 assessments
Learning activities
Every lesson gives you several ways to learn.
Frequently asked questions
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