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DKUM
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Title:
Platforma za zbiranje podatkov o vozniku in vozilu v realnem času
Authors:
ID
Ščavničar, Tomaž
(Author)
ID
Verber, Domen
(Mentor)
More about this mentor...
Files:
MAG_Scavnicar_Tomaz_2016.pdf
(4,46 MB)
MD5: 081E3D11D353C4A5DBF9E297B5C24586
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
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:
senzorska platforma
,
sistemi za pomoč vozniku
,
realni-čas
,
avtonomna vožnja
Place of publishing:
Maribor
Publisher:
[T. Ščavničar]
Year of publishing:
2016
PID:
20.500.12556/DKUM-64838
UDC:
004.6.031.43(043.2)
COBISS.SI-ID:
20336150
NUK URN:
URN:SI:UM:DK:LMEPHQ2A
Publication date in DKUM:
19.01.2017
Views:
1719
Downloads:
167
Metadata:
Categories:
KTFMB - FERI
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:
ŠČAVNIČAR, Tomaž, 2016,
Platforma za zbiranje podatkov o vozniku in vozilu v realnem času
[online]. Master’s thesis. Maribor : T. Ščavničar. [Accessed 26 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=64838
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Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Secondary language
Language:
English
Title:
Platform for real-time driver and vehicle data collection
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.
Keywords:
sensory platform
,
driver support systems
,
real-time
,
autonomous driving
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