Скачать или смотреть RC Car Calibrate and Line Following Demo with New Steering Algorithm

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0:00 Intro
1:24 Line Following Sensor
2:52 Calibration
5:00 Sensor Data
9:20 The Ideal Way
11:35 The Old Way
13:21 New Way Theory
21:00 New Way Code
25:51 Close

Learn how to calibrate and fine-tune your RC line-following car in this Calibrate Follow Demo tutorial. This video explains the Python script calibrate_follow_demo.py,.

To begin, the RC car is manually dragged back and forth across the track four times to calibrate the sensor. The script then runs 600 loops, outputting detailed debugging data into Thonny’s shell. You’ll see how this data is copied into Excel, organized, and used to generate charts that guide the calibration process and then the calculation of the steering control variable y.

Instead of relying on a weighted average of all five sensors to calculate y, this improved algorithm uses only the middle three sensors. This approach frees the outer sensors to detect turn and speed limit markers, while also giving the steering system a wider range and much better control when the car drifts far from the track.

If you’re interested in RC car projects, MicroPython programming, ESP32 boards, and sensor-based robotics, this video will give you practical insight into calibration and control algorithms for autonomous driving experiments.

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Check out the full code and documentation on GitHub:
https://github.com/jacpots/RC-DriverA...