bth.se
EnglishSvenskaNorsk
Change search
CiteExportLink to record
Permanent link

Direct link
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
Detecting Object Position Using Sensor Data
Blekinge Institute of Technology.
Blekinge Institute of Technology.
2022 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This report deals with detecting object position using sensor datausing three different types of sensors held at four corners of a givendimensional plate; two sensors of URM09 Analog, 1 of URM09 Ultrasonic and 1 of VL6180X ToF sensor. The accuracy of the sensors performance is investigated using relative standard deviation. The results show that the proposed solution allows to estimate the objectposition and size without significant error.
Place, publisher, year, edition, pages
2022. , p. 43
Keywords [en]
Arduino, URM09 Ultrasonic, URM09 Analog, VL6180X ToF sensor, Localization, Size estimation, Relative standard deviation.
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-23583OAI: oai:DiVA.org:bth-23583DiVA, id: diva2:1691156
Subject / course
ET1464 Degree Project in Electrical Engineering
Educational program
DVGDT Bachelor Qualification Plan in Computer Science 60.0 hp
Presentation
2022-06-11, 17:40 (English)
Supervisors
Examiners
Available from: 2022-08-30 Created: 2022-08-29 Last updated: 2022-08-30Bibliographically approved

Open Access in DiVA

Detecting Object Position Using Sensor Data(4409 kB)2391 downloads
File information
File name FULLTEXT02.pdfFile size 4409 kBChecksum SHA-512
feab15965dba36e6e83e92d114e7e1d760da6745217fe3aa04ae46e86d05002b369d4ed825aaec9db6d80a3aa189e18bd89f4529a9bb90a876d3ea47042dbd69
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
CHAMAKURA, VENKATA NAGA KRISHNA VAMSIMALLULA, VAMSHHI
By organisation
Blekinge Institute of Technology
Telecommunications

Search outside of DiVA

GoogleGoogle Scholar
Total: 2394 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 245 hits
CiteExportLink to record
Permanent link

Direct link
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
v. 2.44.0
|
WCAG
|
BTH Library
|
Publish/Register
|
How to publish/register
|
Diva portal
|
SwePub
|
Uppsök