Validacija senzora naprednih sustava za pomoć pri upravljanju vozilom

master's thesis

• Title (english): Validation of sensors in vehicle control advance systems
• Author: Mihovil Glavina
• Mentor: Mario Vražić (mentor)
• Committee member: Mario Vražić (predsjednik povjerenstva)
• Committee member: Šandor Ileš (član povjerenstva)
• Committee member: Jadranko Matuško (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-07-09, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

U ovom radu opisuju se napredni sustavi za pomoć pri upravljanju vozilom i autonomna vožnja. Obrađen je način rada sustava za pomoć pri održavanju vozila u traci i način rada prilagodljivog tempomata. Izrađeni su modeli za simulaciju vožnje vozila sa sustavom za pomoć pri održavanju vozila u traci i prilagodljivim tempomatom sa stvarnim senzorom (kamerom) u petlji. Objašnjen je postupak obrade slike s kamere kojim se dobiva informacija potrebna za rad navedenih sustava. Ispitana je kvaliteta kamere kao senzora u sustavima za pomoć u pri upravljanju vozilom i uspoređena sa simuliranim virtualnim senzorom.

Abstract (english)

This paper describes advanced driver-assistance systems and autonomous driving. The mode of operation of lane keeping assist system and adaptive cruise control is discussed. Models have been developed to simulate vehicle driving with a lane-keeping assistance system and adaptive cruise control with real sensor (camera) in the loop. The process of camera image processing, which provides the information necessary for the functionality of mentioned systems, is explained. The quality of the camera as a sensor in driver-assistance systems was examined and compared with a simulated virtual sensor.

• Keywords: autonomna vožnja; sustav za održavanje vozila u traci; prilagodljivi tempomat; Raspberry Pi kamera; Logitech kamera; Mobileye kamera; simulacija sa sklopovljem u petlji; Model.CONNECT; simulacija vožnje; prepoznavanje cestovnog traka; prepoznavanje vozila
• Keywords (english): autonomous driving; lane keeping assist system; adaptive cruise control; Raspberry Pi camera; Logitech camera; Mobileye camera; hardware-in-the-loop simulation; Model.CONNECT; driving simulation; lane detection; vehicle detection
• Language: croatian
• URN:NBN: urn:nbn:hr:168:863292
• Study programme: Title: Electrical Engineering and Information Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 12:18:56