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master's thesis
Monokularna estimacija dubine u autonomnoj vožnji uz poznatu visinu kamere
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:906883
Dinčir, Karlo
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Dinčir, K. (2023). Monokularna estimacija dubine u autonomnoj vožnji uz poznatu visinu kamere (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:906883

Dinčir, Karlo. "Monokularna estimacija dubine u autonomnoj vožnji uz poznatu visinu kamere." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:906883

Dinčir, Karlo. "Monokularna estimacija dubine u autonomnoj vožnji uz poznatu visinu kamere." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:906883

Dinčir, K. (2023). 'Monokularna estimacija dubine u autonomnoj vožnji uz poznatu visinu kamere', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:906883

Dinčir K. Monokularna estimacija dubine u autonomnoj vožnji uz poznatu visinu kamere [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:906883

K. Dinčir, "Monokularna estimacija dubine u autonomnoj vožnji uz poznatu visinu kamere", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:906883

Metadata
TitleMonokularna estimacija dubine u autonomnoj vožnji uz poznatu visinu kamere
Title (english)Monocular depth estimation in autonomous driving with known camera height
AuthorKarlo Dinčir
MentorIvan Marković (mentor)
Committee memberIvan Marković (član povjerenstva)
Committee memberLuka Petrović (član povjerenstva)
Committee memberJuraj Peršić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-11, Croatia
Abstract
Estimacija dubine je jedna od najvažnijih informacija iz scene za veliki broj primjena i najbolji rezultati se ostvaruju se neuronskim mrežama i fuzijom senzora. Zbog male cijene i dostupnosti monokularne kamere pokušava se estimirati točna dubina samo monokularnom kamerom. Problem monokularne kamere je nemogućnost određivanje dubine koja ima metrički točnu skalu. Relativna dubinska mapa dobivena iz monokularne kamere u ovom radu će se pretvoriti u dubinsku mapu s metrički točnom skalom iz informacije o visini kamere. Kako bi izbjegli skupi i vremenski zahtjevan proces sakupljanja točno označenih podataka, koristit ćemo samonadziranu mrežu koja sama točno označava podatke za treniranje.
Abstract (english)
Depth estimation is one of the most important pieces of information from the scene for a wide range of applications, and the best results are achieved through neural networks and sensor fusion. Due to the low cost and availability of monocular cameras, an attempt is made to estimate accurate depth using only a monocular camera. The problem with monocular cameras is the inability to determine depth with a metrically accurate scale. The relative depth map obtained from a monocular camera in this study will be converted into a depth map with a metrically accurate scale using camera height information. To avoid the expensive and time-consuming process of collecting accurately labeled data, we will use a self-supervised network that self-labels the training data accurately.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:906883
Study programmeTitle: Information and Communication Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2023-10-11 08:43:11