logo SBA

ETD

Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-06122023-181532


Tipo di tesi
Tesi di dottorato di ricerca
Autore
RUSCIO, FRANCESCO
URN
etd-06122023-181532
Titolo
Visual-based solutions for an effective use of Autonomous Underwater Vehicles in environmental monitoring applications
Settore scientifico disciplinare
ING-INF/04
Corso di studi
SMART INDUSTRY
Relatori
tutor Prof. Costanzi, Riccardo
tutor Prof. Allotta, Benedetto
Parole chiave
  • autonomous underwater vehicles
  • environmental monitoring
  • posidonia oceanica
  • visual odometry
  • boundary inspection
Data inizio appello
15/06/2023
Consultabilità
Completa
Riassunto
The strategies developed in the work of this thesis can be divided into two topics: underwater navigation and decision-making based on environmental information. The first part of the thesis deals with navigation over P. oceanica meadows and describes the two different visual-based navigation solutions. The second part of the thesis concerns the autonomous boundary inspection of P. oceanica meadows, and in particular the modules that form the proposed visual inspection framework. The validation of the proposed methodologies has been performed through realistic simulations and experimental data collected at sea using an underwater robot.
File