Lucrezia Lovaglio
AI-Based Optical Navigation for Rendezvous and Proximity Operations (RPOs) Missions of Small Satellites.
Rel. Fabrizio Stesina, Antonio D'Ortona. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2024
|
|
PDF (Tesi_di_laurea)
- Tesi
Accesso limitato a: Solo utenti staff fino al 11 Aprile 2027 (data di embargo). Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (41MB) |
Abstract
On-orbit proximity operations are becoming increasingly important for both present and future missions, particularly OOS (On-Orbiting-Services) and ADR (Active-Debris Removal). In this framework, a high-accuracy estimation of the relative pose (position and attitude) between spacecraft is mandatory to successfully and safely achieve inspection/observation, rendezvous and docking phases. Spacecraft pose estimation is defined as the capability of an active spacecraft (chaser) to estimate the relative position and attitude of a known non-cooperative one (target). It involves both theoretical and technological challenges related to the search for the most suitable sensor architecture and algorithm solutions. On this behalf, visual navigation consists of estimating the pose of the target from a single image.
It has recently become the most popular technique for this purpose, thanks to the employment of increasingly compact, precise, reliable, and low systems requirements monocular cameras, which represent the ideal sensor for such application
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
URI
![]() |
Modifica (riservato agli operatori) |
