Autonomno upravljanje vozilom zasnovano na metodama dubokog učenja

master's thesis

• Title (english): Autonomous vehicle control based on deep learning methods
• Author: Ana Petra Jukić
• Mentor: Marija Seder (mentor)
• Committee member: Ivan Marković (član povjerenstva)
• Committee member: Juraj Peršić (član povjerenstva)
• Committee member: Luka Petrović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2023-07-11, Croatia

Abstract

Tradicionalni sustavi autonomne vožnje sastoje se od percepcije, lokalizacije, mapiranja, planiranja i praćenja putanje, gdje svaki korak može biti vrlo računski zahtjevan pogotovo u kompleksnim i dinamičkim okruženjima. U diplomskom je radu potrebno ostvariti autonomnu vožnju automobila korištenjem dubokih modela, poput konvolucijskih neuronskih mreža koji će na temelju senzorskih podataka (iz kamere, lasera i radara) izravno odrediti upravljačke naredbe. Evaluaciju modela je potrebno napraviti u simulatoru tako da automobil tijekom vožnje uvijek ostane na stazi pri različitim vremenskim uvjetima i uvjetima osvjetljenja.

Abstract (english)

Traditional autonomous driving systems consist of perception, localization, mapping, planning and trajectory tracking, where each step can be very computationally demanding, especially in complex and dynamic environments. In the thesis, it is necessary to achieve autonomous car driving using deep models, such as convolutional neural networks, which will directly determine control commands based on sensor data (from cameras, lasers and radars). The evaluation of the model must be done in the simulator so that the car always stays on the track while driving under different weather and lighting conditions.

• Keywords: autonomna vožnja; duboko učenje; računalni vid
• Keywords (english): autonomous vehicle; deep learning; computer vision
• Language: croatian
• URN:NBN: urn:nbn:hr:168:160765
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-10-11 09:10:35