Collision Avoidance on Unmanned Aerial Vehicles using Deep Neural Networks

Unmanned Aerial Vehicles (UAVs), although hardly a new technology, have recently gained a prominent role in many industries, being widely used not only among enthusiastic consumers but also in high demanding professional situations, and will have a massive societal impact over the coming years. Howe...

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Bibliographic Details
Main Author: Pedro, Dário Filipe Romana (author)
Format: doctoralThesis
Language:eng
Published: 2022
Subjects:
Artificial Intelligence
Collision Avoidance
Collision Dataset
Deep Learning
Drones
Image Processing
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Online Access:http://hdl.handle.net/10362/143828
Country:Portugal
Oai:oai:run.unl.pt:10362/143828

Internet

http://hdl.handle.net/10362/143828

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