Originally named "This is very hard." Won NASA SpaceApp's Best App/Tech Idea Award!
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Updated
Nov 15, 2017 - Objective-C
Originally named "This is very hard." Won NASA SpaceApp's Best App/Tech Idea Award!
PX4 Firmware for PX4FMU autopilot and PX4IO servo / failsafe board (forked @ 7acfcea)
Remote Controller written for Quadcopter Drone using low power MSP430 MCU
This is the media storage for Leo's Drones. Not all media can be found here.
Flight Controller Code for the Udana HAWK Drone
Todd’s Technical Treasures
A drone photography website built for a client.
This project is meant to help save Amazon Rainforest. Here I build a Machine and Deep Learning model to classify images from the Amazon Rainforest taken from and processed by drones with edge computers.
This project aims to implement real-time object detection from drone feed using YOLOv3 (You Only Look Once version 3) deep learning architecture. This project was implemented using tools and frameworks such as ROS, Gazebo, Ardupilot and MavROS
Process DJI infrared (IR) pictures, with advanced thermal analysis and visualization tools
The Labtronics boards were designed as an educational set of boards for learning pure analogic circuits, digital systems, domotics, biotechnological applications and robotics
A collection of actions for working with PX4 data
Firmware for Solo ESC REV2 - Based on SimonK firmware
Implementation of a tancodrom in 3D using C++ and OpenGL at Uni.
Robotics Specialization: The Introduction to Robotics Specialization introduces you to the concepts of robot flight and movement, how robots perceive their environment, and how they adjust their movements to avoid obstacles, navigate difficult terrains and accomplish complex tasks such as construction and disaster recovery. You will be exposed t…
It is a light-weight swarm algorithm implementation in C++.
Training simulated drone models to fly. Based on a uni-project at Chalmers, extended to include actual learning.
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