Upravljanje vozilom u CARLA simulatoru putem prepoznavanja pokreta ruku korištenjem web kamere ; Controlling the vehicle in the CARLA simulator based on the recognition of hand movements using a web camera
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| Title: | Upravljanje vozilom u CARLA simulatoru putem prepoznavanja pokreta ruku korištenjem web kamere ; Controlling the vehicle in the CARLA simulator based on the recognition of hand movements using a web camera |
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| Authors: | Pavić, Robert |
| Contributors: | Herceg, Marijan |
| Publisher Information: | Sveučilište Josipa Jurja Strossmayera u Osijeku. Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek. Zavod za komunikacije. Katedra za elektroniku i mikroelektroniku. Josip Juraj Strossmayer University of Osijek. Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Department of Communications. Chair of Electronics and Microelectronics. |
| Publication Year: | 2025 |
| Collection: | Croatian Digital Theses Repository (National and University Library in Zagreb) |
| Subject Terms: | CARLA simulator, Mediapipe, neuronska mreža, klasifikacija, strojno učenje, web kamera, kontrola vozila, prepoznavanje ruku, neural network, classification, machine learning, webcam, vehicle control, hand recognition, TEHNIČKE ZNANOSTI. Elektrotehnika. Telekomunikacije i informatika, TECHNICAL SCIENCES. Electrical Engineering. Telecommunications and Informatics |
| Description: | U okviru ovog diplomskog rada izrađen je sustav za upravljanje vozilom u CARLA simulatoru putem prepoznavanja pokreta ruku korištenjem web-kamere. Sustav upravljanja izrađen je tako da se upravljanje ostvaruje držanjem zamišljenog volana. Pri tome zakretanje ruku određuje smjer kretanja, a pokazana gesta ruke označava ubrzanje, usporavanje, vožnju unatrag ili čisto upravljanje. Kako bi se omogućio izbor prirodnih gesti primjerenih za upravljanje vozilom, kreiran je vlastiti skup podataka. Za potrebe klasifikacije ovih gesti kreirana je klasifikacijska neuronska mreža koja zajedno s algoritmom izračuna kuta između ruku omogućuje potpunu kontrolu nad vozilom. Za implementaciju rješenja kreirana je Python skripta koja koristi izrađenu neuronsku mrežu i algoritam izračuna kuta za određivanje upravljačkih naredbi, koje se zatim šalju CARLA simulatoru uz pomoć dostupnog CARLA APIja. Kako bi se utvrdila kvaliteta implementacije sustava u simulatoru, provedeno je testiranje gdje je deset korisnika odvezlo zacrtanu rutu u simulatoru. Rezultati testiranja ukazali su na visoku razinu intuitivnosti odabranih gesti, kvalitetno upravljanje i responzivnost sustava. Sustav za upravljanje pokretima ruku pokazao se funkcionalnim i kvalitetnim. ; In this master’s thesis, a system was created for vehicle control inside the CARLA simulator based on hand gesture recognition using a webcam. The control system is designed so that driving is achieved by holding an imaginary steering wheel, where the rotation of the hands determines the direction of movement and the detected hand gesture determines acceleration, deceleration, driving in reverse, or pure steering. A custom dataset was created to facilitate the selection of natural gestures suitable for vehicle control. A neural network classifier was created for the purpose of gesture classification, which paired together with an algorithm for calculating the angle between the hands, enables full control of the vehicle. To implement the solution, a Python script was created that utilizes ... |
| Document Type: | master thesis |
| File Description: | application/pdf |
| Language: | Croatian |
| Relation: | https://zir.nsk.hr/islandora/object/etfos:5679; https://urn.nsk.hr/urn:nbn:hr:200:810631; https://repozitorij.unios.hr/islandora/object/etfos:5679; https://repozitorij.unios.hr/islandora/object/etfos:5679/datastream/PDF |
| Availability: | https://zir.nsk.hr/islandora/object/etfos:5679 https://urn.nsk.hr/urn:nbn:hr:200:810631 https://repozitorij.unios.hr/islandora/object/etfos:5679 https://repozitorij.unios.hr/islandora/object/etfos:5679/datastream/PDF |
| Rights: | http://rightsstatements.org/vocab/InC/1.0/ ; info:eu-repo/semantics/openAccess |
| Accession Number: | edsbas.89B5DFEE |
| Database: | BASE |
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| Header | DbId: edsbas DbLabel: BASE An: edsbas.89B5DFEE RelevancyScore: 908 AccessLevel: 3 PubType: Dissertation/ Thesis PubTypeId: dissertation PreciseRelevancyScore: 907.683654785156 |
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| Items | – Name: Title Label: Title Group: Ti Data: Upravljanje vozilom u CARLA simulatoru putem prepoznavanja pokreta ruku korištenjem web kamere ; Controlling the vehicle in the CARLA simulator based on the recognition of hand movements using a web camera – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Pavić%2C+Robert%22">Pavić, Robert</searchLink> – Name: Author Label: Contributors Group: Au Data: Herceg, Marijan – Name: Publisher Label: Publisher Information Group: PubInfo Data: Sveučilište Josipa Jurja Strossmayera u Osijeku. Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek. Zavod za komunikacije. Katedra za elektroniku i mikroelektroniku.<br />Josip Juraj Strossmayer University of Osijek. Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Department of Communications. Chair of Electronics and Microelectronics. – Name: DatePubCY Label: Publication Year Group: Date Data: 2025 – Name: Subset Label: Collection Group: HoldingsInfo Data: Croatian Digital Theses Repository (National and University Library in Zagreb) – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22CARLA+simulator%22">CARLA simulator</searchLink><br /><searchLink fieldCode="DE" term="%22Mediapipe%22">Mediapipe</searchLink><br /><searchLink fieldCode="DE" term="%22neuronska+mreža%22">neuronska mreža</searchLink><br /><searchLink fieldCode="DE" term="%22klasifikacija%22">klasifikacija</searchLink><br /><searchLink fieldCode="DE" term="%22strojno+učenje%22">strojno učenje</searchLink><br /><searchLink fieldCode="DE" term="%22web+kamera%22">web kamera</searchLink><br /><searchLink fieldCode="DE" term="%22kontrola+vozila%22">kontrola vozila</searchLink><br /><searchLink fieldCode="DE" term="%22prepoznavanje+ruku%22">prepoznavanje ruku</searchLink><br /><searchLink fieldCode="DE" term="%22neural+network%22">neural network</searchLink><br /><searchLink fieldCode="DE" term="%22classification%22">classification</searchLink><br /><searchLink fieldCode="DE" term="%22machine+learning%22">machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22webcam%22">webcam</searchLink><br /><searchLink fieldCode="DE" term="%22vehicle+control%22">vehicle control</searchLink><br /><searchLink fieldCode="DE" term="%22hand+recognition%22">hand recognition</searchLink><br /><searchLink fieldCode="DE" term="%22TEHNIČKE+ZNANOSTI%2E+Elektrotehnika%2E+Telekomunikacije+i+informatika%22">TEHNIČKE ZNANOSTI. Elektrotehnika. Telekomunikacije i informatika</searchLink><br /><searchLink fieldCode="DE" term="%22TECHNICAL+SCIENCES%2E+Electrical+Engineering%2E+Telecommunications+and+Informatics%22">TECHNICAL SCIENCES. Electrical Engineering. Telecommunications and Informatics</searchLink> – Name: Abstract Label: Description Group: Ab Data: U okviru ovog diplomskog rada izrađen je sustav za upravljanje vozilom u CARLA simulatoru putem prepoznavanja pokreta ruku korištenjem web-kamere. Sustav upravljanja izrađen je tako da se upravljanje ostvaruje držanjem zamišljenog volana. Pri tome zakretanje ruku određuje smjer kretanja, a pokazana gesta ruke označava ubrzanje, usporavanje, vožnju unatrag ili čisto upravljanje. Kako bi se omogućio izbor prirodnih gesti primjerenih za upravljanje vozilom, kreiran je vlastiti skup podataka. Za potrebe klasifikacije ovih gesti kreirana je klasifikacijska neuronska mreža koja zajedno s algoritmom izračuna kuta između ruku omogućuje potpunu kontrolu nad vozilom. Za implementaciju rješenja kreirana je Python skripta koja koristi izrađenu neuronsku mrežu i algoritam izračuna kuta za određivanje upravljačkih naredbi, koje se zatim šalju CARLA simulatoru uz pomoć dostupnog CARLA APIja. Kako bi se utvrdila kvaliteta implementacije sustava u simulatoru, provedeno je testiranje gdje je deset korisnika odvezlo zacrtanu rutu u simulatoru. Rezultati testiranja ukazali su na visoku razinu intuitivnosti odabranih gesti, kvalitetno upravljanje i responzivnost sustava. Sustav za upravljanje pokretima ruku pokazao se funkcionalnim i kvalitetnim. ; In this master’s thesis, a system was created for vehicle control inside the CARLA simulator based on hand gesture recognition using a webcam. The control system is designed so that driving is achieved by holding an imaginary steering wheel, where the rotation of the hands determines the direction of movement and the detected hand gesture determines acceleration, deceleration, driving in reverse, or pure steering. A custom dataset was created to facilitate the selection of natural gestures suitable for vehicle control. A neural network classifier was created for the purpose of gesture classification, which paired together with an algorithm for calculating the angle between the hands, enables full control of the vehicle. To implement the solution, a Python script was created that utilizes ... – Name: TypeDocument Label: Document Type Group: TypDoc Data: master thesis – Name: Format Label: File Description Group: SrcInfo Data: application/pdf – Name: Language Label: Language Group: Lang Data: Croatian – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: https://zir.nsk.hr/islandora/object/etfos:5679; https://urn.nsk.hr/urn:nbn:hr:200:810631; https://repozitorij.unios.hr/islandora/object/etfos:5679; https://repozitorij.unios.hr/islandora/object/etfos:5679/datastream/PDF – Name: URL Label: Availability Group: URL Data: https://zir.nsk.hr/islandora/object/etfos:5679<br />https://urn.nsk.hr/urn:nbn:hr:200:810631<br />https://repozitorij.unios.hr/islandora/object/etfos:5679<br />https://repozitorij.unios.hr/islandora/object/etfos:5679/datastream/PDF – Name: Copyright Label: Rights Group: Cpyrght Data: http://rightsstatements.org/vocab/InC/1.0/ ; info:eu-repo/semantics/openAccess – Name: AN Label: Accession Number Group: ID Data: edsbas.89B5DFEE |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: Croatian Subjects: – SubjectFull: CARLA simulator Type: general – SubjectFull: Mediapipe Type: general – SubjectFull: neuronska mreža Type: general – SubjectFull: klasifikacija Type: general – SubjectFull: strojno učenje Type: general – SubjectFull: web kamera Type: general – SubjectFull: kontrola vozila Type: general – SubjectFull: prepoznavanje ruku Type: general – SubjectFull: neural network Type: general – SubjectFull: classification Type: general – SubjectFull: machine learning Type: general – SubjectFull: webcam Type: general – SubjectFull: vehicle control Type: general – SubjectFull: hand recognition Type: general – SubjectFull: TEHNIČKE ZNANOSTI. Elektrotehnika. Telekomunikacije i informatika Type: general – SubjectFull: TECHNICAL SCIENCES. Electrical Engineering. Telecommunications and Informatics Type: general Titles: – TitleFull: Upravljanje vozilom u CARLA simulatoru putem prepoznavanja pokreta ruku korištenjem web kamere ; Controlling the vehicle in the CARLA simulator based on the recognition of hand movements using a web camera Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pavić, Robert – PersonEntity: Name: NameFull: Herceg, Marijan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Identifiers: – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa |
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