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Integration of High-resolution Embedded Camera for Maritime Object Georeferencing

Yanneck, Deichmann (2024) Integration of High-resolution Embedded Camera for Maritime Object Georeferencing. Bachelorarbeit, Hochschule Bremerhaven.

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Kurzfassung

In maritime security contexts, it is essential to have an accurate and timely geo-referencing system for maritime objects such as ships and vessels. This is crucial for enhancing situational awareness and ensuring efficient monitoring. Existing systems are often static, and when they are moved, they lose the reference for image transformation. To address this issue, this thesis proposes the integration of a high-resolution camera into a mobile housing unit with an embedded system for image processing and a smartphone for complementary data acquisition, which allows ship georeferencing in a mobile manner. The ship recognition software used in this system is YOLOv8, and the Android smartphone collects sensor data. This configuration facilitates accurate conversion of pixel coordinates of the recognized ships into geographic locations using raycasting as georeferencing method, which enables display of latitudes and longitudes of ships on a map. The experimental results validate that the detection and georeferencing of ships is performed with an error of 16±7 meters using the integrated system. These results are comparable to those of static camera systems, however adding the potential of mobile embedded systems to further enhance maritime monitoring capabilities. This innovative solution is a step forward in improving the accuracy and efficiency of maritime monitoring systems.

elib-URL des Eintrags:https://elib.dlr.de/204776/
Dokumentart:Hochschulschrift (Bachelorarbeit)
Titel:Integration of High-resolution Embedded Camera for Maritime Object Georeferencing
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Yanneck, DeichmannHochschule BremerhavenNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:14 Mai 2024
Erschienen in:Integration of High-resolution Embedded Camera for Maritime Object Georeferencing
Open Access:Ja
Seitenanzahl:71
Status:veröffentlicht
Stichwörter:High-resolution Camera, Camera Calibration, Georeferencing, YOLOv8
Institution:Hochschule Bremerhaven
Abteilung:Fachbereich 1 Technologie
HGF - Forschungsbereich:keine Zuordnung
HGF - Programm:keine Zuordnung
HGF - Programmthema:keine Zuordnung
DLR - Schwerpunkt:keine Zuordnung
DLR - Forschungsgebiet:keine Zuordnung
DLR - Teilgebiet (Projekt, Vorhaben):keine Zuordnung
Standort: Bremerhaven
Institute & Einrichtungen:Institut für den Schutz maritimer Infrastrukturen
Hinterlegt von: Carrillo Perez, Borja Jesus
Hinterlegt am:20 Aug 2024 09:36
Letzte Änderung:20 Aug 2024 09:36

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