This repository contains the code for the paper "Image Generation for Efficient Neural Network Training in Autonomous Drone Racing" of the WCCI 2020 congress.
This project is provides specifications and strategies for the development of an autonomous hunter UAV. The task is to seek out other drones/UAVs and destroy them. An implementation is given using the Parrot Bebop 2 and the Jetson TX2 development kit.
This project contains C++ Fotokite Pro library. Fotokite Pro is a tethered unmanned aerial vehicle by Perspective Robotics. This library can be used to get telemetry data from Fotokite and to send commands to Fotokite. It also supports waypoint navigation that can handle multiple tether contact points with obstacles.
The Control systems for on-board and off-board calculations for coordinations and manipulations and control of the Anemoi Drone for general behavior and use cases.
Trajectory generation in discrete time for the geographical mapping of the river network, optimization of the path generated by the mission planner to reduce the power consumption of the drone . The UAV will capture a large amount of data which will then be used to study the effects of global warming and how do these river networks come into existence and how they change as the water level rises over the years. All the codes are written in MATLAB and simulated using SIMULINK
Multi-Camera surveillance systems are being increasingly used to enhance safety and security and the possibility to mount cameras on Unmanned Aerial Vehicles (UAVs) extends their capabilities to a whole new level. The aim of this project is to find a possible solution to the Interactive Surveillance problem using multiple UAV mounted cameras.
This repository is used to make a website that talks about my experience at MIT's 2016 Beaverworks Summer Institute, an engineering camp for rising high school seniors.