liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
Automatic Volume Estimation Using Structure-from-Motion Fused with a Cellphone's Inertial Sensors
Linköping University, Department of Electrical Engineering, Computer Vision.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The thesis work evaluates a method to estimate the volume of stone and gravelpiles using only a cellphone to collect video and sensor data from the gyroscopesand accelerometers. The project is commissioned by Escenda Engineering withthe motivation to replace more complex and resource demanding systems with acheaper and easy to use handheld device. The implementation features popularcomputer vision methods such as KLT-tracking, Structure-from-Motion, SpaceCarving together with some Sensor Fusion. The results imply that it is possible toestimate volumes up to a certain accuracy which is limited by the sensor qualityand with a bias.

Abstract [sv]

I rapporten framgår hur volymen av storskaliga objekt, nämligen grus-och stenhögar,kan bestämmas i utomhusmiljö med hjälp av en mobiltelefons kamerasamt interna sensorer som gyroskop och accelerometer. Projektet är beställt avEscenda Engineering med motivering att ersätta mer komplexa och resurskrävandesystem med ett enkelt handhållet instrument. Implementationen använderbland annat de vanligt förekommande datorseendemetoderna Kanade-Lucas-Tommasi-punktspårning, Struktur-från-rörelse och 3D-karvning tillsammans medenklare sensorfusion. I rapporten framgår att volymestimering är möjligt mennoggrannheten begränsas av sensorkvalitet och en bias.

Place, publisher, year, edition, pages
2017. , p. 49
Keywords [en]
Computer vision, Volume Estimation, Structure-from-motion, Space Carving, 3D Reconstruction, Point Cloud, OpenCV, OpenMVG, Senor Fusion, Scale Estimate, Video, Tracking, IMU, Camera
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-144194ISRN: LiTH-ISY-EX--17/5107--SEOAI: oai:DiVA.org:liu-144194DiVA, id: diva2:1172784
External cooperation
Escenda AB
Subject / course
Computer Vision Laboratory
Presentation
2018-01-05, Systemet B-huset, Linköpings Universitet, Linköping, 581 83, 17:28 (English)
Supervisors
Examiners
Available from: 2018-01-11 Created: 2018-01-10 Last updated: 2018-01-11Bibliographically approved

Open Access in DiVA

fulltext(6584 kB)41 downloads
File information
File name FULLTEXT01.pdfFile size 6584 kBChecksum SHA-512
d0ef1fb95c82afc8df6c8f3590721ed089391995b384ddcddc3a3ebfe2954fa378779a11a07f8473aefb327f19d78dd11089eaf056cf4045846eae28fbee1db1
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Fallqvist, Marcus
By organisation
Computer Vision
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 41 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: 82 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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