Erika Mai
Obstacle Detection and Avoidance Techniques for Unmanned Aerial Vehicles.
Rel. Giorgio Guglieri, Gianluca Ristorto. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Aerospaziale, 2020
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (7MB) | Preview |
Abstract
Unmanned Aerial Vehicles (UAVs) represent a high potential for many fields of applications, from surveying to search and rescue missions, from delivery to photography. For all these applications, the interest in this field become higher for those that require automatic missions and autonomous flight operations. In order to consider autonomous flights, one of the most essential requirements is the capability of detect obstacles and avoid them through reliable mechanisms. Nowadays, obstacle avoidance is an incredibly active field of research and development, considering that several aspects of this area are still unknown. For example, obstacle avoidance in three dimensions is less developed than two-dimensional methods, but represents a cardinal point for all types of systems that can move in three-dimensional space.
Especially for multirotor UAVs, the industry is increasingly evolving towards the development of complex systems capable of autonomously carrying out different types of missions
Relatori
Tipo di pubblicazione
URI
![]() |
Modifica (riservato agli operatori) |
