| KEYWORD |
Development of a framework for safe UAS flight operations in BVLOS in populated environments
Thesis in external company
keywords ARTIFICIAL INTELLIGENCE, DRONES, PATH PLANNING, UAV, WEB APPLICATIONS, WEB-APP DEVELOPMENT
Reference persons STEFANO PRIMATESTA
External reference persons Gianluca Ristorto (gianluca.ristorto@mavtech.eu)
Research Groups 08- Dinamica, controllo e simulazione del volo
Description The thesis aims to develop a framework for planning drone flight operations in populated environments. This project includes several activities (to be carried out in multiple thesis projects) including:
- development of a web-app for drone operators who need to plan the flight operation;
- development of a library in Python/C++ which includes risk assessment and planning algorithms;
- use of Artificial Intelligence techniques for the estimation of parameters necessary for mission planning;
The goal is to create a complete tool that can help drone operators carry out risk assessment and plan the flight operation.
The project is carried out in collaboration with the MAVTech company (https://www.mavtech.eu).
Required skills Knowledge of C++ and/or Python programming languages
Experience in developing Web-Apps
Deadline 22/06/2024
PROPONI LA TUA CANDIDATURA