Platforma za zbiranje podatkov o vozniku in vozilu v realnem času

magistrsko delo

Tomaž Ščavničar (Author), Domen Verber (Mentor)

Abstract

V magistrskem delu smo predstavili generičen model senzorske platforme in model eksperimentalne senzorske platforme za zajem podatkov o vozniku in vozilu. Predstavili smo komponente, s katerimi bi lahko v prihodnosti implementirali zanesljiv sistem za inteligentno podporo voznikov med vožnjo ali celo rešitev za avtonomno vožnjo vozil. Nato smo predstavili koncept rešitve za zajem podatkov o vozniku in implementirali prototipno senzorsko platformo za zajem podatkov o vozilu. Zanimalo nas je ali lahko implementirana senzorska platforma deluje v realnem času, zato smo pripravili 5 eksperimentov. Pregledali smo tudi poslovni vidik takšne rešitve, kjer smo ugotovili, da transportna podjetja iščejo rešitve in pristope za zmanjševanje prometnih nesreč. Predstavljene ugotovitve so lahko osnova za izdelavo inteligentne »after-market« rešitve, s katero bi lahko v prihodnosti nadgradili transportna vozila in jim dodali določeno stopnjo inteligence.

Keywords

senzorji;senzorska platforma;sistemi za pomoč vozniku;sistemi v realnem času;zajem podatkov;podatki o vozniku;avtonomna vožnja;magistrske naloge;

Data

Language:	Slovenian
Year of publishing:	2016
Typology:	2.09 - Master's Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[T. Ščavničar]
UDC:	004.6.031.43(043.2)
COBISS:	20336150
Views:	1047
Downloads:	121
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Platform for real-time driver and vehicle data collection
Secondary abstract:	We've proposed a generic model and experimental model of sensory platform for driver and vehicle data collection. Components that could be used to construct and build a reliable solution for driver assistance and autonomous driving were presented. Then we’ve proposed a concept for driver data collection and implemented a prototype sensory platform for vehicle data collection. We’ve implemented 5 experiments where we’ve observed the performances of sensory platform as we’ve been researching if sensory platform can operate in real-time. The market demand for such platform has been overviewed where we’ve made a conclusion that transport companies are looking for ways to improve work related road safety. Conclusions from this master thesis could be used for development of an after-market solution that could be used for upgrading existing vehicles and make them intelligent.
Secondary keywords:	sensory platform;driver support systems;real-time systems;autonomous driving;driver data collection;
URN:	URN:SI:UM:
Type (COBISS):	Master's thesis/paper
Thesis comment:	Univerza v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informacijske tehnologije
Pages:	[VIII], 62 str.
ID:	9240067