Lesson 7 of 10: Line Tracking, Cliff Detection Calibrate Greyscale Sensor Raspberry Pi Pico Car

Diese Lektion ist Teil von: Raspberry Pi Pico 4WD Smart Car

Lesson 7 of 10: Line Tracking, Cliff Detection Calibrate Greyscale Sensor Raspberry Pi Pico Car

Welcome to Lesson 7 of the Raspberry Pi Pico Smart Car course by Robojax. This lesson is part of the 10-part hands-on series built on the SunFounder Raspberry Pi Pico 4-Wheel Drive Smart Car Kit.

In this session, you’ll learn how to calibrate the grayscale sensor, a critical component for enabling the car to follow a line on the ground. The sensor helps the smart car detect light and dark areas, which is essential for line-following behavior.

What You’ll Learn

This lesson begins with how to calibrate the grayscale sensor to match lighting and surface conditions in your environment. Calibration allows the car to distinguish between light and dark regions accurately, ensuring more precise line-following.

You’ll also be introduced to a fun safety-related feature called "Don't Push Me". In this mode, the smart car can detect a cliff or edge (such as a table drop) using the grayscale sensor and respond by reversing and shaking its "head" to signal danger. This introduces the idea of using sensors not just for movement, but for protective behavior.

While the code is not deeply detailed in this video, you’re shown how the grayscale module interfaces with the board and how to perform a test to ensure the calibration is working correctly.


📦 Links to purchase the kit, view documentation, and download source code are available below this article.


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