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undergraduate thesis
Korištenje umjetne inteligencije u prometu
Split: University of Split, Faculty of Science, 2023. urn:nbn:hr:166:493247
Miličević, Ivan
University of Split
Faculty of Science
Department of Informatics

Institutional repository: Repository of Faculty of Science

Cite this document

Miličević, I. (2023). Korištenje umjetne inteligencije u prometu (Undergraduate thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:493247

Miličević, Ivan. "Korištenje umjetne inteligencije u prometu." Undergraduate thesis, University of Split, Faculty of Science, 2023. https://urn.nsk.hr/urn:nbn:hr:166:493247

Miličević, Ivan. "Korištenje umjetne inteligencije u prometu." Undergraduate thesis, University of Split, Faculty of Science, 2023. https://urn.nsk.hr/urn:nbn:hr:166:493247

Miličević, I. (2023). 'Korištenje umjetne inteligencije u prometu', Undergraduate thesis, University of Split, Faculty of Science, accessed 30 November 2024, https://urn.nsk.hr/urn:nbn:hr:166:493247

Miličević I. Korištenje umjetne inteligencije u prometu [Undergraduate thesis]. Split: University of Split, Faculty of Science; 2023 [cited 2024 November 30] Available at: https://urn.nsk.hr/urn:nbn:hr:166:493247

I. Miličević, "Korištenje umjetne inteligencije u prometu", Undergraduate thesis, University of Split, Faculty of Science, Split, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:166:493247

Metadata
TitleKorištenje umjetne inteligencije u prometu
Title (english)Use of Artificial Intelligence in traffic
AuthorIvan Miličević
MentorSaša Mladenović (mentor)
Committee memberSaša Mladenović (predsjednik povjerenstva)
Committee memberIvana Marin (član povjerenstva)
Committee memberDino Nejašmić (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Informatics)
Split
Defense date and country2023-09-25, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U današnjem vremenu svakodnevno možemo svjedočiti razvoju umjetne inteligencije i njezinog potencijala. Sigurno da se jedan od većih potencijala umjetne inteligencije nalazi u području prometa. Značajan napredak umjetne inteligencije za promet, omogućilo je duboko učenje koje pruža mogućnost autonomne vožnje te upravljanje prometom. Uz niz svih pozitivnih aspekata koje umjetna inteligencija donosi, također povlači i negativne posljedice. Negativne posljedice se odnose na pitanja gubitka radnih mjesta kao i na pitanje etike. Ubrzan razvoj umjetne inteligencije će značajno oblikovati budućnost prometa koja se temelji na povećavanju sigurnosti i unčikovitosti.
Abstract (english)
In today's world, we can see the advancement of artificial intelligence and its potential. The topic of transportation is certainly one where artificial intelligence has the most potential. Significant advancements in traffic-related artificial intelligence have made deep learning possible, opening the door to autonomous driving and traffic control. Along with all the positive aspects that artificial intelligence brings, it also entails negative aspects. The negative implications concern both employment losses and ethical issues. The rapid development of artificial intelligence will significantly impact the future of transportation, which will be predicated on enhancing safety and agility.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:493247
Study programmeTitle: Computer Science
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2023-09-26 11:39:39