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Title:Platforma za zbiranje podatkov o vozniku in vozilu v realnem času
Authors:Ščavničar, Tomaž (Author)
Verber, Domen (Mentor) More about this mentor... New window
Files:.pdf MAG_Scavnicar_Tomaz_2016.pdf (4,46 MB)
MD5: 081E3D11D353C4A5DBF9E297B5C24586
 
Language:Slovenian
Work type:Master's thesis/paper (mb22)
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
Year of publishing:2016
Publisher:[T. Ščavničar]
Source:Maribor
UDC:004.6.031.43(043.2)
COBISS_ID:20336150 New window
NUK URN:URN:SI:UM:DK:LMEPHQ2A
Views:933
Downloads:99
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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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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