Thesis etd-11142013-115817 |
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Thesis type
Tesi di laurea magistrale
URN
etd-11142013-115817
Thesis title
Range estimation and obstacle detection for unmanned aircraft vehicles: a stereo vision approach
Department
INGEGNERIA DELL'INFORMAZIONE
Course of study
INGEGNERIA ROBOTICA E DELL'AUTOMAZIONE
Supervisors
.
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
Keywords
- Disparity Map
- image processing
- stereo vision
- UAV
Graduation session start date
13/12/2013
Availability
Full
Abstract (Inglese)
Abstract (Italiano)
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.
File
| Nome file | Dimensione |
|---|---|
| Tesi.pdf | 25.89 Mb |
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