Welcome to our open-source project focused on revolutionizing Mobile Edge Computing (MEC) with the power of multiple Unmanned Aerial Vehicles (UAVs). This project aims to enhance the efficiency of data processing and communication in resource-constrained environments through joint resource allocation and trajectory optimization techniques.

The main trajectory generator for the "uav_ros_stack" package

Assuming that I have joined an AI startup that deploys sensors to businesses, collects data from all activities in a business - people's interaction, traffic flows, smart appliances installed in a company. The main objective of this AI startup is to enable businesses gain critical intelligence about business transactions out of the public and private data they collect and organize. A city traffic department(client for the AI startup) in Athens, Greece wants to collect traffic data using swarm UAVs(drones) form a number of locations in the city and use the collected data for improving traffic flow in the city and for creating a scalable and manageable data warehouse that will host the vehicle trajectory data extracted by processing the footage of vehicles taken by swarm drones and static roadside cameras from various locations in the city.