Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Analys av NIR hårdvaruuppsättning samt metod för fotografering av individer i fordon
Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik.
Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik.
2016 (Svenska)Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
Abstract [en]

Abstract

Purpose – To study the possibility of using a NIR hardware solution to photograph individuals in a private vehicle as well as an analysis of its images.

Method – A study of existing theories around the NIR-method’s performance in selected conditions and individual tests were performed to examine if the literature statements were valid for this study. Two empirical tests have been carried out, the first was carried out at Kapsch test track and the other outside the test track in a single stationary test. An interview which formed the basis for the assessment on the quality of empirical data with a focus on computer-based detection of the number of individuals in the vehicle.

Findings – The results have demonstrated the potential of the NIR method’s performance in a fully automated detection system for the number of individuals inside the vehicle. Empirical data indicates that the method can depict individuals inside vehicles of sufficiently high quality, but it is greatly affected by reflections, weather and light conditions.

Implications – Result supports the assumption that the NIR method using an external light source can be used to image the interior through a varying number of weather and lightning conditions. The study originated until the results suggested that a NIR-based hardware setup can create images with high enough quality for the human eye to be able to detect the number of individuals inside the vehicle.If the overall performance into account, it suggests that the main problem with the use of the hardware set is to maintain the quality of the whole sample and that the crucial variables for the method’s performance is the influence of light and reflection conditions.

Limitations – The major limitations have been that we limited ourselves to a subjective analysis of the selection and assessment on the image features for computer-based detection of the number of individuals in the vehicle. We were limited to two tests, one in tough conditions where only the driver was in the vehicle and the second stationary test, where the focus was on the number of people in vehicles and light sources impact on the result.

Ort, förlag, år, upplaga, sidor
2016. , s. 43
Nyckelord [sv]
NIR, IR, HOV, bildanalys, trafikövervakning
Nationell ämneskategori
Datorsystem
Identifikatorer
URN: urn:nbn:se:hj:diva-32265ISRN: JU-JTH-DTA-1-20160030OAI: oai:DiVA.org:hj-32265DiVA, id: diva2:1046305
Externt samarbete
Kapsch TrafficCom
Ämne / kurs
JTH, Datateknik
Handledare
Examinatorer
Tillgänglig från: 2016-11-14 Skapad: 2016-11-13 Senast uppdaterad: 2016-11-14Bibliografiskt granskad

Open Access i DiVA

fulltext(2221 kB)123 nedladdningar
Filinformation
Filnamn FULLTEXT01.pdfFilstorlek 2221 kBChecksumma SHA-512
811cc42f430d28eecea66f7c131ec5eb34951ffcc175dce4722c3a2cfb00afe77c0aa4c44f31dbfc06d417e87b9c2c8460fd74dfb62603a96a5fd3594a5039d9
Typ fulltextMimetyp application/pdf

Av organisationen
JTH, Data- och elektroteknik
Datorsystem

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 123 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

urn-nbn

Altmetricpoäng

urn-nbn
Totalt: 273 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf