Project Hub /Basic Analog & Power Electronics/Sequential, Timing & Pulse Circuits/Drone Position Hold using Optical Flow Sensor – Joystick Control with Dead Reckoning
Drone Position Hold using Optical Flow Sensor – Joystick Control with Dead Reckoning
Advanced
ESP32
Project Specific
3 – 6 Hours
Partial Kit

Drone Position Hold using Optical Flow Sensor – Joystick Control with Dead Reckoning

This guide explains how to implement a joystick-controlled position hold system for the LiteWing ESP32 drone using an optical flow sensor, dead reckoning, and cascaded PID control.

Originally published on CircuitDigest
View original tutorial
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Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

We don't carry yet: Drone Parts (ESC / propeller / flight controller / BLDC)
control

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How It Works

Why Build This

Gain hands-on experience designing and tuning cascaded PID control loops for autonomous aerial vehicle stabilization.
Learn how to integrate optical flow sensors and dead reckoning techniques for precise indoor navigation without GPS.
Develop Python-based control scripts utilizing communication libraries like cflib to interface a PC with an ESP32-powered drone.

Real-World Application

Indoor drone navigation, automated inspection tasks, and GPS-denied autonomous aerial vehicle positioning.

Skills You'll Learn

Optical flow sensing
Cascaded PID control implementation
Dead reckoning algorithms
Drone flight dynamics
Python-based UAV communication
Sensor data fusion
Real-time embedded control

Safety Precautions

Ensure the drone's firmware is properly updated and communication via cflib is validated before testing flight positioning modules.

Technology Tags

ESP32
DRONE
OPTICAL FLOW SENSOR
DEAD RECKONING
PID CONTROL
PYTHON
CFLIB
CRTP
JOYSTICK CONTROL

Frequently Asked Questions

GPS signals are typically unavailable or unreliable indoors. An optical flow sensor visually tracks the ground beneath the drone, providing the relative velocity and position data needed for indoor flight stability.
The PC runs Python scripts utilizing the cflib library to handle high-level communication, telemetry monitoring, and joystick control inputs sent to the ESP32 drone.
Dead reckoning uses previously calculated positions and estimated velocities to continuously estimate the drone's current location, helping bridge gaps and smooth out noise from optical sensor measurements.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

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