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Acoustic Detection of Rear Approaching Vehicles for Cyclists
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
2014 (English)Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The project aims to detect rear approaching vehicles for cycslist with a low power consumption. Study focuses on acoustic features of the sound of rear approaching vehicles and examines the useful indicators to detect the vehicles. The project includes more then one correlation and reveals their success rates for as many as samples possible. 

Place, publisher, year, edition, pages
2014. , 88 p.
Keyword [en]
Acoustic detection, vehicle sensor, sound based sensor, low power sensor, traffic enhancements
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hh:diva-25182OAI: oai:DiVA.org:hh-25182DiVA: diva2:714752
External cooperation
Swedish ICT Viktoria Company
Subject / course
Electrical Engineering
Presentation
2014-01-14, E5, Kristian VI's väg 3, Halmstad, 10:30 (English)
Supervisors
Examiners
Available from: 2014-04-30 Created: 2014-04-29 Last updated: 2014-04-30Bibliographically approved

Open Access in DiVA

Bachelor Thesis of Ahmet Tansu BAKKAL HH(3417 kB)12518 downloads
File information
File name FULLTEXT01.pdfFile size 3417 kBChecksum SHA-512
cddb41e18b951d4368d7c169b3bfc4cdd5bb339ab8b14e1f9e1ac722468102e6d1ac6aa21f3b5492eb69b4506709db8eb5f88f222e615a521a06d90d3e2d6a50
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf