Razvoj metode za kontinuirano vrednotenje voznikovega situacijskega zavedanja

KOFOL, MARKO (author), Sodnik, Jaka (mentor), Stojmenova Pečečnik, Kristina (comentor)

Diplomsko delo opisuje postopek razvoja metode za kontinuirano vrednotenje voznikovega situacijskega zavedanja. Teoretični del je namenjen poglobljeni raziskavi situacijskega zavedanja in vrednotenju le-tega v sistemih avtomatizirane vožnje. Namen naloge je razvoj metode vrednotenja, ki upošteva faktorje, kot so inteligentni transportni sistemi, ni intruzivna in ima potencial apliciranja v realni svet. Z boljšim razumevanjem situacijskega zavedanja se poveča zaupanje v sisteme avtomatizirane vožnje. V sklopu praktičnega dela je bila izvedena uporabniška študija s pomočjo simulatorja vožnje in sledilnika pogledu. Pridobljeni podatki in videoposnetki so bili obdelani s pomočjo programskega jezika Python in tehnologije računalniškega vida. Rezultat je objektivna in kvantitativna ocena voznikovega situacijskega zavedanja.

• Language: Slovenian
• Keywords: situacijsko zavedanje, vrednotenje, sistemi avtomatizirane vožnje, avtomatizacija
• Work type: Undergraduate thesis
• Organization: FE - Faculty of Electrical Engineering
• Year: 2023
• PID: 20.500.12556/RUL-148075
• COBISS.SI-ID: 160930307
• Publication date in RUL: 26.07.2023

Secondary language

• Language: English
• Title: Method development for continuous evaluation driver's situational awareness

Abstract

The diploma thesis describes the process of developing a method for continuous evaluation of driver's situational awareness. The theoretical part is devoted to an in-depth study of situational awareness and its evaluation in automated driving systems. The aim of the thesis is to develop an evaluation method that takes into account factors such as intelligent transportation systems, is non-intrusive and has the potential to be applied to the real world. A better understanding of situational awareness increases trust in automated driving systems. Within the confines of the practical part, a user study was carried out using a driving simulator and a eye tracker. The data and videos obtained were processed using Python programming language and computer vision technology. The result is an objective and quantitative assessment of the driver's situational awareness.

• Keywords: situational awareness, evaluation, automated driving systems, automation