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undergraduate thesis
Zanošenje autonomne letjelice
2018. urn:nbn:hr:190:643736
Marković, Karlo
University of Rijeka
Faculty of Engineering
Department of Computer Engineering
Section of Software Engineering

Cite this document

Marković, K. (2018). Zanošenje autonomne letjelice (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:643736

Marković, Karlo. "Zanošenje autonomne letjelice." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2018. https://urn.nsk.hr/urn:nbn:hr:190:643736

Marković, Karlo. "Zanošenje autonomne letjelice." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2018. https://urn.nsk.hr/urn:nbn:hr:190:643736

Marković, K. (2018). 'Zanošenje autonomne letjelice', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 29 December 2024, https://urn.nsk.hr/urn:nbn:hr:190:643736

Marković K. Zanošenje autonomne letjelice [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2018 [cited 2024 December 29] Available at: https://urn.nsk.hr/urn:nbn:hr:190:643736

K. Marković, "Zanošenje autonomne letjelice", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:190:643736

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Metadata
TitleZanošenje autonomne letjelice
Title (english)Unmanned Aerial Vehicle Drift
AuthorKarlo Marković
MentorKristijan Lenac (mentor)
MentorIvan Štajduhar (sumentor)
Committee memberKristijan Lenac (predsjednik povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Computer Engineering)
(Section of Software Engineering)
Rijeka
Defense date and country2018-09-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Promjene na više slika, iste scene se koristi u skoro svim suvremenim aplikacijama, uključujući pametne kuće, video nadzor, prognozama vremena, sigurnosnih sustava i mnogih drugih. Ove aplikacije su različite u razmjerima, naravi brzini promjene. Ovaj rad predstavlja aplikaciju koja koristi primjenu tehnike obrade slike za implementaciju sustava zanošenja autonomne letjelice u realnom vremenu. Promjena je identificirana usporedujući ključne točke dvaju okvira (jedan početni okvir i jedan snimljen u stvarnom vremenu). Analiza ključnih točaka vrši se pomoću ORB algoritma koji se nalazi u OpenCV knjižici.
Abstract (english)
Changes in multiple images of the same scene is used in many contemporary applications including smart homes, video surveillance, weather forecasting, smart security systems and much more.These applications differ in the scale, nature, and speed of change. This paper presents an application of image processing techniques to implement a real-time unmanned aerial vehicle drift. Change is identified by comparing the keypoints of two frames (one start frame and one captured in real-time). Key points analysis was performed using the ORB algorithm found in the OpenCV library.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:643736
Study programmeTitle: Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2018-09-27 13:09:30