dc.contributor.author | Τζουμάκας, Σωτήριος![]() |
el |
dc.contributor.author | Tzoumakas, Sotirios![]() |
en |
dc.date.accessioned | 2023-01-16T11:38:43Z | |
dc.date.available | 2023-01-16T11:38:43Z | |
dc.identifier.uri | https://dspace.lib.ntua.gr/xmlui/handle/123456789/56727 | |
dc.identifier.uri | http://dx.doi.org/10.26240/heal.ntua.24425 | |
dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα | * |
dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/gr/ | * |
dc.subject | Φωτογραμμετρία | el |
dc.subject | Όραση υπολογιστών | el |
dc.subject | UAV | en |
dc.subject | Αλγόριθμοι | el |
dc.subject | Τροχιά | el |
dc.subject | Καμπύλο οδικό τμήμα | el |
dc.title | Διερεύνηση της πραγματικής τροχιάς διερχομένων οχημάτων σε καμπύλο οδικό τμήμα με χρήση UAV και όρασης υπολογιστών | el |
heal.type | bachelorThesis | |
heal.classification | Φωτογραμμετρία | el |
heal.classification | Όραση υπολογιστών | el |
heal.language | el | |
heal.access | free | |
heal.recordProvider | ntua | el |
heal.publicationDate | 2022-10-20 | |
heal.abstract | Object detection and tracking are important features of computer science. Their benefits are not limited to the scientific community in the industry, but are increasingly entering the everyday life of a wider society, providing assistance where needed. In this thesis we attempt to create an integrated application for real-time vehicle tracking, recognition and monitoring from videos captured by unmanned aerial vehicles (UAVs) using neural networks. Neural networks, also known as artificial neural networks are a subset of machine learning and are at the heart of deep learning algorithms. Their name and structure are inspired by the human brain, mimicking the way biological neurons send signals to each other. In addition to these, the application performs a number of other functions such as planning the trajectory of vehicles and estimating their speed as they pass through a curved road section. Its results are considered highly satisfactory, making the application a useful tool for a variety of activities in civil and military domains involving the tracking of not only vehicles but also other objects in general using state-of-the-art algorithms. | en |
heal.advisorName | Ιωαννίδης, Χαράλαμπος | el |
heal.committeeMemberName | Ιωαννίδης, Χαράλαμπος | el |
heal.committeeMemberName | Ψαριανός, Βασίλειος | el |
heal.committeeMemberName | Κεπαπτσόγλου, Κωνσταντίνος | el |
heal.academicPublisher | Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Αγρονόμων και Τοπογράφων Μηχανικών. Τομέας Τοπογραφίας. Εργαστήριο Φωτογραμμετρίας | el |
heal.academicPublisherID | ntua | |
heal.numberOfPages | 90 σ. | el |
heal.fullTextAvailability | false | |
heal.fullTextAvailability | false |
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