ETD

• Disparity Map
• image processing
• stereo vision
• UAV

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.