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master's thesis
Sustav za automatsku detekciju oštećenja na infrastrukturi
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:101456
Katanec, Andro
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Katanec, A. (2023). Sustav za automatsku detekciju oštećenja na infrastrukturi (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:101456

Katanec, Andro. "Sustav za automatsku detekciju oštećenja na infrastrukturi." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:101456

Katanec, Andro. "Sustav za automatsku detekciju oštećenja na infrastrukturi." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:101456

Katanec, A. (2023). 'Sustav za automatsku detekciju oštećenja na infrastrukturi', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 18 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:101456

Katanec A. Sustav za automatsku detekciju oštećenja na infrastrukturi [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 July 18] Available at: https://urn.nsk.hr/urn:nbn:hr:168:101456

A. Katanec, "Sustav za automatsku detekciju oštećenja na infrastrukturi", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:101456

Metadata
TitleSustav za automatsku detekciju oštećenja na infrastrukturi
Title (english)System for automatic detection of infrastructure damage
AuthorAndro Katanec
MentorMatko Orsag (mentor)
Committee memberMatko Orsag (član povjerenstva)
Committee memberFrano Petric (član povjerenstva)
Committee memberTamara Petrović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-14, Croatia
Abstract
U radu je implementiran sustav za automatsku detekciju oštećenja na infrastrukturi pomoću bespilotne letjelice opremljene dubinskom kamerom. Detekcija oštećenja realizirana je pomoću YOLOv7 modela koji je treniran na skupu podataka od ukupno 11.298 slika pukotina. Za implementaciju algoritama za automatsku detekciju korišteno je ROS okruženje povezano s Gazebo simulatorom unutar kojeg je postavljen model mosta s pločama na kojima se nalaze pukotine. Implementirani su ROS čvorovi za detekciju pukotina, procesiranje i vizualizaciju pukotina te za autonomno kretanje letjelice. Testiranje sustava provedeno je unutar Gazebo simulatora na modelu osječkog pješačkog mosta te su prikazani ostvareni rezultati.
Abstract (english)
This thesis implements a system for automatic detection of infrastructure damage using a UAV equipped with a depth camera. Damage detection is achieved using the YOLOv7 model trained on a dataset of 11.298 images containing cracks. A ROS environment connected to a Gazebo simulator was utilized for implementing the algorithms for automatic detection. A bridge model with tiles containing cracks was set up within the simulator. ROS nodes were implemented for crack detection, processing and visualization of detected cracks, as well as for autonomous navigation of the UAV. The system was tested inside the Gazebo simulator using a model of an Osijek pedestrian bridge and the achieved results are presented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:101456
Study programmeTitle: Information and Communication Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2023-10-11 09:16:43