Sustav za otkrivanje ukopanih mina

Antonić, Davor

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doctoral thesis

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Sustav za otkrivanje ukopanih mina

Davor Antonić (2001)

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Control and Computer Engineering

Cite this document...

APA 6th Edition

Antonić, D. (2001). Sustav za otkrivanje ukopanih mina (Doctoral thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:422954

MLA 8th Edition

Antonić, Davor. "Sustav za otkrivanje ukopanih mina." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2001. https://urn.nsk.hr/urn:nbn:hr:168:422954

Chicago 17th Edition

Antonić, Davor. "Sustav za otkrivanje ukopanih mina." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2001. https://urn.nsk.hr/urn:nbn:hr:168:422954

Harvard

Antonić, D. (2001). 'Sustav za otkrivanje ukopanih mina', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 June 2019, https://urn.nsk.hr/urn:nbn:hr:168:422954

Vancouver

Antonić D. Sustav za otkrivanje ukopanih mina [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2001 [cited 2019 June 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:422954

IEEE

D. Antonić, "Sustav za otkrivanje ukopanih mina", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2001. Available at: https://urn.nsk.hr/urn:nbn:hr:168:422954

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:422954

Metadata

Title	Sustav za otkrivanje ukopanih mina
Author	Davor Antonić
Mentor	Mario Žagar (mentor)
Committee member	Nikola Bogunović (član povjerenstva)
Committee member	Mario Žagar (član povjerenstva)
Committee member	Milan Bajić (član povjerenstva)
Committee member	Gabro Smiljanić (član povjerenstva)
Committee member	Ljubo Marangunić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Control and Computer Engineering) Zagreb
Defense date and country	2001-10-19, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Process Computing
Universal decimal classification (UDC)	004 GENERALLY Computer science and technology. Computing. Data processing
Universal decimal classification (UDC)	623 APPLIED SCIENCES. MEDICINE. TECHNOLOGY Military engineering
Abstract	U ovoj disertaciji opisan je razvoj i implementacija postupaka obrade signala, izdvajanja značajki i klasifikacije te njihovo povezivanje u cjelovit sustav prilagođen potrebama otkrivanja ukopanih mina. Razvijen je postupak automatskog generiranja i redukcije skupa značajki iz spektara signala kao i novi postupci izdvajanja značajki temeljeni na heurističkom pretraživanju stabla i genetskim algoritmima, primjenjivi na široku klasu problema. Svi predloženi postupci provjereni su na stvarnim minama i ostalim objektima. Primjena na skup uzoraka snimljenih sonarom rezultirala je značajnim smanjenjem složenosti klasifikacijskog sustava. Postupci su također ispitani na skupu uzoraka mina i ostalih objekata dobivenih detektorom temeljenim na standardnoj pirotehničarskoj pipalici koji bilježi vibracije nastale dodirom ukopanog predmeta, razvijenog u sklopu ove disertacije. Ispitivanje je pokazalo da predloženi sustav detektora i pripadnog skupa postupaka omogućuje razlikovanje mine od ostalih ukopanih predmeta. Definirana je i odgovarajuća informacijska podrška koja omogućuje prihvat informacija stvorenih na razini detekcije pojedinih mina, uključivanje tih informacija u informacijski sustav humanitarnog razminiranja i ostvarivanje povratne veze koja će omogućiti učenje i kontinuirano poboljšavanje svojstava sustava detekcije. U okviru definiranog sustava također su predloženi postupci praćenja položaja detektora smještenog na daljinski upravljanoj ili autonomnoj robotskoj platformi.
Abstract (english)	This thesis describes development and implementation of algorithms for signal processing, feature extraction and classification, as well as their integration into the system for buried landmine detection. Procedure for automatic generation and reduction of the initial feature set directly from signal spectrums has been developed. Novel feature extraction algorithms based on heuristic tree search and genetic algorithms, which are applicable to the wide range of problems have been proposed. All the algorithms were tested on real mines and other objects. Application to the set of sonar samples resulted in significant reduction of classification system complexity. Algorithms were also tested on mines and other objects samples. Samples were acquired by developed detector, based on standard deminer's prodder which records vibrations produced by touching the buried object. Testing shows that proposed detection system and dedicated set of procedures make mines distinguishable from other buried objects. Appropriate information support has been defined, which makes possible managing information created at the level of individual mines detection. It allows incorporation of the information into the humanitarian demining information system and establishment of feedback which will make possible learning and continuous improvement of detection system features. Methods for position tracking of the detector attached to the remotely controlled or autonomous robotic platform are also described.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:422954
Study programme	Title: Računarstvo Study programme type: sveučilišni Study level: poslijediplomski znanstveni (doktorski) Academic / professional title: Doktor znanosti (Doktor znanosti)
Type of resource	text
File origin	Born digital
Access conditions	Closed access
Terms of use
Repository	FER Repository
Created on	2019-04-23 07:14:24