Indoor Navigation based on Fiducial Markers of Opportunity
| atmire.migration.oldid | 1636 | |
| dc.contributor.advisor | Nielsen, Jorgen S | |
| dc.contributor.author | Lakhani, Mazhar Ali | |
| dc.date.accessioned | 2013-12-05T17:15:49Z | |
| dc.date.available | 2014-03-15T07:00:15Z | |
| dc.date.issued | 2013-12-05 | |
| dc.date.submitted | 2013 | en |
| dc.description.abstract | Indoor navigation has gained significant importance in the last decade due to its applications in the location based services industry. The outdoor navigation technology of GNSS by itself does not offer good solutions due to presence of multipath and low SNR in indoor environments. Complimentary sensors like IMU, magnetometers, cameras, etc., have their own set of problems. A camera however, provides a wealth of information for position estimation. The main aim of this thesis is to analyse camera based navigation systems using stationary figures of opportunity. Unlike traditional navigation systems that utilise coded markers, this thesis performs navigation based on planar stationary figures that are inherently present in the environment, hence the more structure the more information. The novelty of this thesis lies in its usage of Hough transforms to do the same. Initial experimental results demonstrate that an average webcam quality camera provides enough information to extract reasonably good navigation coordinates under specific conditions. | en_US |
| dc.identifier.citation | Lakhani, M. A. (2013). Indoor Navigation based on Fiducial Markers of Opportunity (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/26507 | en_US |
| dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/26507 | |
| dc.identifier.uri | http://hdl.handle.net/11023/1176 | |
| dc.language.iso | eng | |
| dc.publisher.faculty | Graduate Studies | |
| dc.publisher.institution | University of Calgary | en |
| dc.publisher.place | Calgary | en |
| dc.rights | University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | |
| dc.subject | Computer Science | |
| dc.subject | Engineering--Electronics and Electrical | |
| dc.subject | Robotics | |
| dc.subject.classification | Indoor Navigation | en_US |
| dc.subject.classification | Computer Vision | en_US |
| dc.subject.classification | Markers | en_US |
| dc.title | Indoor Navigation based on Fiducial Markers of Opportunity | |
| dc.type | master thesis | |
| thesis.degree.discipline | Electrical and Computer Engineering | |
| thesis.degree.grantor | University of Calgary | |
| thesis.degree.name | Master of Science (MSc) | |
| ucalgary.item.requestcopy | true |