Comparision of focus measures for collision avoidance application of mobile robots

dc.contributor.authorHinas, Ajmal
dc.date.accessioned2018-02-09T06:05:59Z
dc.date.available2018-02-09T06:05:59Z
dc.date.issued2017-12-07
dc.description.abstractLow cost fixed focus cameras are focused to infinity. This will introduce an amount of blur in the image of objects in the close range. This blur effect is called defocusing effect. Researchers in the past introduced focus measures to quantify the defocusing effect in an image. Our purpose is to find the suitability of Focus Measures for collision Avoidance Application of mobile robots. In order to do that, an experimental setup was developed with a low cost fixed focused camera, single board computer and an ultrasound module. Controlled experimental data was collected using the developed setup. Using the collected data, four different focus measures from the literature were analyzed for three different field of views. Results show that GLVN focus measure in the full field of view is more suitable for the collision avoidance application.en_US
dc.identifier.citation7th International Symposium 2017 on “Multidisciplinary Research for Sustainable Development”. 7th - 8th December, 2017. South Eastern University of Sri Lanka, University Park, Oluvil, Sri Lanka. pp. 89-96.en_US
dc.identifier.isbn978-955-627-120-1
dc.identifier.urihttp://ir.lib.seu.ac.lk/handle/123456789/3015
dc.language.isoen_USen_US
dc.publisherSouth Eastern University of Sri Lanka, University Park, Oluvil, Sri Lankaen_US
dc.subjectCollision avoidanceen_US
dc.subjectFocus measureen_US
dc.subjectBlur metricsen_US
dc.subjectMobile roboticsen_US
dc.subjectRobotic visionen_US
dc.titleComparision of focus measures for collision avoidance application of mobile robotsen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ID 026.pdf
Size:
654.47 KB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: