oru.sePublikationer
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Double Solid Line Tracking Using Similarity-based Image Processing
Örebro University, School of Science and Technology, Örebro University, Sweden.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis proposes a simple solution for tracking a double solid line on road

surfaces using similarity-base image processing. The application is to be used in

electric vehicles in order to get power from implanted infrastructure on/under

the road surface.

The final solution is a system based on the consensus of separate agents.

Each agent gets a row from 2D RGB image frame with geometric profile information

of the double-solid line and finds the most similar pair pattern. Agents

use a similarity-based approach to detect the most similar pair on the given

input data and return the position of its middle. If all the points found are on

a line then the system considers the generated line as a correctly detected line

along the middle of the double solid line.

Similarity based image processing helps the agents to avoid any preprocessing

layer which is very common in most of image processing applications and

this phenomenon makes it fairly simple. This system works with high accuracy

but it is able to track only one geometrically specified double solid line at a

time in this stage.

Place, publisher, year, edition, pages
2015. , 50 p.
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:oru:diva-46702OAI: oai:DiVA.org:oru-46702DiVA: diva2:873068
Subject / course
Computer Engineering
Supervisors
Examiners
Available from: 2015-11-23 Created: 2015-11-23 Last updated: 2015-11-23Bibliographically approved

Open Access in DiVA

No full text

By organisation
School of Science and Technology, Örebro University, Sweden
Software Engineering

Search outside of DiVA

GoogleGoogle Scholar

Total: 49 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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