Tesi etd-11142013-115817 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
SESTINI, LEONARDO
URN
etd-11142013-115817
Titolo
Range estimation and obstacle detection for unmanned aircraft vehicles: a stereo vision approach
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA ROBOTICA E DELL'AUTOMAZIONE
Relatori
relatore Ing. Masini, Andrea
controrelatore Prof. Pollini, Lorenzo
relatore Prof. Landi, Alberto
relatore Dott. Crisostomi, Emanuele
controrelatore Prof. Pollini, Lorenzo
relatore Prof. Landi, Alberto
relatore Dott. Crisostomi, Emanuele
Parole chiave
- Disparity Map
- image processing
- stereo vision
- UAV
Data inizio appello
13/12/2013
Consultabilità
Completa
Riassunto
The aim of this work is to find some methodologies for object detection and distance estimation that can be applied to unmanned aircraft vehicles.
To tackle this problem, stereo vision theory and the most important object detection algorithms are studied, finding for each the best qualities.
Object detection algorithms are merged with stereo vision system to find two new algorithms that want to improve the performances of the simple vision system.
These two algorithms are also tested and compared in real and simulated scenarios.
To tackle this problem, stereo vision theory and the most important object detection algorithms are studied, finding for each the best qualities.
Object detection algorithms are merged with stereo vision system to find two new algorithms that want to improve the performances of the simple vision system.
These two algorithms are also tested and compared in real and simulated scenarios.
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| Tesi.pdf | 25.89 Mb |
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