Drone Position Hold using Optical Flow Sensor – Joystick Control with Dead Reckoning
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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.
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.
This advanced undergraduate-level project implements a closed-loop position hold and joystick control system for the Litewing ESP32 drone using a LiteWing Flight Positioning Module. At the core of the system is an optical flow sensor, which optically tracks surface textures beneath the drone to calculate translational velocity and relative movement. Because raw optical flow measurements can drift or accumulate error over time, dead reckoning algorithms are integrated alongside cascaded PID control loops to maintain stable spatial coordinates. The ESP32 DevKit v1 processes sensor data and executes control algorithms in real time, communicating bi-directionally with a ground control PC running Python and the cflib library. When a user inputs joystick commands, the software translates those inputs into desired velocity or position setpoints. The onboard firmware then dynamically adjusts motor commands via the Litewing ESP32 drone's electronic speed controllers to counteract environmental disturbances like air currents, allowing the aircraft to maintain a stable hover or execute precise manual positioning maneuvers in indoor, GPS-denied environments.
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.
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
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