Controlling an E58 drone with an ESP8266 uC
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Updated
Nov 25, 2020 - C++
Controlling an E58 drone with an ESP8266 uC
NSER-IBVS: Numerically Stable Efficient Reduced Image-Based Visual Servoing with knowledge distillation for autonomous drone control and navigation in GPS-denied environments. ICCV 2025
Neural control framework for drones using motor imagery EEG classification. Achieves 73% cross-subject accuracy with PyTorch and enables hands-free drone control through imagined hand/feet movements.
Infinite horizon policy optimization for drone navigation. Graded project for the ETH course "Dynamic Programming and Optimal Control".
Base framework for Parrot Drone projects.
Event-based predictive vision RTL core in synthesizable Verilog, validated in Vivado as both a bare core and AXI-integrated evaluation shell.
Drone Flight Automation Project
rigidRL is a compiled C++ autograd library backed by Eigen. It provides a graph-based differentiation engine with seamless Python bindings, designed specifically for accelerating physics-based optimization tasks like 6-DOF drone control and nonlinear dynamics.
AI-powered search-and-rescue drone swarm coordination agent
Official Project Page: "Efficient Self-Supervised Neuro-Analytic Visual Servoing for Real-time Quadrotor Control"
Run drone simulators, firmware, and experiment scripts from a unified interface (currently Sphinx, more planned)
MATLAB code examples for beginner-friendly quadcopter modelling and PID altitude control.
AI-powered hand gesture recognition system for controlling drones using computer vision and embedded AI.
A secure ground control station (GCS) for FleetCore UAS operations, built with Tauri v2, Rust, and React. Features real-time fleet telemetry, mission planning, and geospatial infrastructure management.
Learn to control a DJI Tello Drone using Python and djitellopy. Includes basic scripts for connection, flight, camera streaming, and movements. Perfect for beginners.
Control lewei-based drones with Node.js.
Aero's official ground station application, complete with full mission control and AI object recognition.
A non-linear control system designed to counteract random, volatile disturbances (such as wind) more effectively than the standard PID controller. Also includes a Monte Carlo simulation to compare the controller's effectiveness with a standard PID controller.
An entry level object-tracking system for DJI Tello using Computer Vision (OpenCV) and Fuzzy Logic control. Perfect for enthusiasts learning drone automation.
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