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undergraduate thesis
Bespilotne letjelice u funkciji upravljanja incidentnim situacijama u prometu
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2016. urn:nbn:hr:119:800217
Strikinac, Filip
University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Intelligent Transport Systems and Logistics
Department of Intelligent Transport Systems

Institutional repository: Faculty of Transport and Traffic Sciences

Cite this document

Strikinac, F. (2016). Bespilotne letjelice u funkciji upravljanja incidentnim situacijama u prometu (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:800217

Strikinac, Filip. "Bespilotne letjelice u funkciji upravljanja incidentnim situacijama u prometu." Undergraduate thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2016. https://urn.nsk.hr/urn:nbn:hr:119:800217

Strikinac, Filip. "Bespilotne letjelice u funkciji upravljanja incidentnim situacijama u prometu." Undergraduate thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2016. https://urn.nsk.hr/urn:nbn:hr:119:800217

Strikinac, F. (2016). 'Bespilotne letjelice u funkciji upravljanja incidentnim situacijama u prometu', Undergraduate thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:119:800217

Strikinac F. Bespilotne letjelice u funkciji upravljanja incidentnim situacijama u prometu [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2016 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:119:800217

F. Strikinac, "Bespilotne letjelice u funkciji upravljanja incidentnim situacijama u prometu", Undergraduate thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:119:800217

Metadata
TitleBespilotne letjelice u funkciji upravljanja incidentnim situacijama u prometu
Title (english)Impact of UAVs in Traffic Incident Management
AuthorFilip Strikinac
MentorPero Škorput (mentor)
Committee memberEdouard Ivanjko (predsjednik povjerenstva)
Committee memberMiroslav Vujić (član povjerenstva)
Committee memberSadko Mandžuka (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
(Division of Intelligent Transport Systems and Logistics)
(Department of Intelligent Transport Systems)
Zagreb
Defense date and country2016-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Air Traffic
Abstract
Bespilotna letjelica je letjelica ili zrakoplov bez posade. Ona se može nadzirati na daljinu ili letjeti samostalno. Bespilotna letjelica samostalno može letjeti uporabom unaprijed programiranog plana leta ili pomoću složenih autonomnih dinamičkih sustava. Razvoj bespilotnih letjelica započela je ponajprije vojska u svrhu smanjivanja troškova i ljudskih žrtava. Dovoljno govori činjenica da troškovi održavanja i izrade jedne bespilotne letjelice čine desetinu troškova jednog suvremenog zrakoplova. Najveći izazov kod modeliranja je dakako navigacija i pozicioniranje bespilotnih letjelica, bilo da se radi o vojnoj ili civilnoj uporabi. Danas se najčešće integriraju dva senzora: INS (inercijalni navigacijski sustav) i GNSS (globalni navigacijski satelitski sustav). Prateći povijesni razvoj sve do današnjih dana pokazano je koliki je napredak postignut u tom smjeru. U današnje vrijeme došlo je do povećanja broja i vrsta senzora koje bespilotne letjelice mogu sadržavati, a samim time i do širenja njihove uporabe.
Abstract (english)
Unmanned aircraft vehicle (UAV) is an aircraft without crew. It can be controlled remotely or fly autonomously. UAV can fly using pre-programmed flight plan or using complex autonomous dynamical systems. UAV development was initiated by the military in order to reduce costs and human casualties. Just the fact that the costs of maintenance and making one UAV consists of one tenth of a modern aircraft says enough.The biggest challenge in modeling UAV is the course navigation and positioning unmanned aerial vehicles, weather it is military or civilian use. Today the most often integration is the one of two sensors: INS (inertial navigation system) and GNSS (global navigation sattelite system). Following the historical development up to the present it has been shown how much progress has been made in this direction. At the present time there has been an increase in the number and types of sensors that UAV may contain, and therefore to spread their use.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:119:800217
Study programmeTitle: Intelligent Transport Systems and Logistics; specializations in: Intelligent Transport Systems, Logistics
Course: Intelligent Transport Systems
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka prometa (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka prometa)
Type of resourceText
File originBorn digital
Access conditionsOpen access
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Created on2017-03-15 12:43:42