Thesis Code: 25006
Research Area: Connected Systems & Cybersecurity
Description:
This thesis focuses on the development of a 3D mission planner for UAVs, integrated within the AeroStack framework, capable of generating autonomous flight missions directly from the geometric model of an infrastructure or building (e.g., a BIM model). The objective is to design and implement a system that interprets a 3D digital representation of an asset and automatically produces a collision-free flight plan that ensures complete and effective coverage of the areas of interest for inspection. In the proposed scenario, the mission planner takes as input a 3D model (BIM, mesh, or point cloud) and extracts the structural elements to be inspected. Based on this geometry, the planner generates a set of 3D waypoints, viewpoints, and flight trajectories that respect UAV kinematic constraints, maintain safety distances from surfaces, and guarantee optimal sensor visibility. The output mission is then formatted to be fully executable within AeroStack, enabling autonomous navigation during inspection tasks.
The thesis aims to assess the feasibility and performance of geometry-driven flight planning in the context of infrastructure inspection. The study involves developing the mission planner, testing it on representative infrastructure models, and evaluating its effectiveness in terms of coverage, safety, and operational efficiency.
Requirements:
- C++ and Python programming languages
- Linux OS knowledge
- Proactive and problem solving mindset
Contact: send a resume with attached the list of exams to gianluca.prato@linksfoundation.com and enrico.ferrera@linksfoundation.com
