Monocular Vision based Particle Filter Localization in Urban Environments
| dc.comment.hidden | Corrections made: 1) title page - department name has been corrected Thesis Non-Exclusive Licence has been submitted. | en |
| dc.contributor.author | Leung, Keith Yu Kit | |
| dc.date.accessioned | 2007-09-26T18:28:41Z | |
| dc.date.available | 2007-09-26T18:28:41Z | |
| dc.date.issued | 2007-09-26T18:28:41Z | |
| dc.date.submitted | 2007-09-17 | |
| dc.description.abstract | This thesis presents the design and experimental result of a monocular vision based particle filter localization system for urban settings that uses aerial orthoimagery as a reference map. The topics of perception and localization are reviewed along with their modeling using a probabilistic framework. Computer vision techniques used to create the feature map and to extract features from camera images are discussed. Localization results indicate that the design is viable. | en |
| dc.identifier.uri | http://hdl.handle.net/10012/3321 | |
| dc.language.iso | en | en |
| dc.pending | false | en |
| dc.publisher | University of Waterloo | en |
| dc.subject | Mobile Robotics | en |
| dc.subject | Localization | en |
| dc.subject | Particle Filter | en |
| dc.subject | Monocular Vision | en |
| dc.subject.program | Mechanical Engineering | en |
| dc.title | Monocular Vision based Particle Filter Localization in Urban Environments | en |
| dc.type | Master Thesis | en |
| uws-etd.degree | Master of Applied Science | en |
| uws-etd.degree.department | Mechanical and Mechatronics Engineering | en |
| uws.peerReviewStatus | Unreviewed | en |
| uws.scholarLevel | Graduate | en |
| uws.typeOfResource | Text | en |