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Implementing Position Hold using Optical flow sensor and ToF on Litewing ESP32 Drone
Intermediate
ESP32
Project Specific
3 – 6 Hours
Partial Kit

Implementing Position Hold using Optical flow sensor and ToF on Litewing ESP32 Drone

Learn how to implement an autonomous position hold system on the Litewing ESP32 drone using an optical flow sensor, Time-of-Flight sensor, and dead reckoning algorithms.

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: Water Flow Sensor
Laser / LiDAR / ToF Sensor

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How It Works

Why Build This

Learn how drones achieve stable autonomous indoor navigation and hovering without relying on GPS satellites.
Gain hands-on experience integrating optical flow and Time-of-Flight sensors with a microcontroller.
Understand the principles of dead reckoning and sensor fusion for real-time flight control.

Real-World Application

Autonomous drone navigation, indoor aerial photography, and stable hover systems without GPS dependency.

Skills You'll Learn

Optical flow tracking
Time-of-Flight distance measurement
sensor fusion
dead reckoning algorithms
UDP communication
Python drone programming
ESP32 microcontroller interfacing

Safety Precautions

Ensure proper calibration, clear surroundings during flight tests, and respect safety limits on control corrections to prevent sudden destabilization.

Frequently Asked Questions

Optical flow sensors and ToF sensors can sometimes be affected by extremely bright ambient light or reflective outdoor surfaces, so this project is primarily designed and optimized for indoor environments.
Some familiarity with Python programming and microcontroller basics is recommended, as you will be working with the LiteWing Python SDK, GitHub repositories, and network communication libraries.
GPS signals are typically unavailable or inaccurate indoors; instead, this project uses an optical flow sensor to track ground textures and a ToF sensor to measure height, achieving precise relative positioning locally.

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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