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dc.contributor.authorCiambrone, Andrew Jamesen_US
dc.date.accessioned2017-02-09T18:28:34Z
dc.date.available2017-02-09T18:28:34Z
dc.date.issued2017-02-09en_US
dc.identifier.othervt_gsexam:9480en_US
dc.identifier.urihttp://hdl.handle.net/10919/74984
dc.description.abstractSpatial mapping or environment mapping is the process of exploring a real world environment and creating its digital representation. To create convincing mixed reality programs, an environment mapping device must be able to detect a user's position and map the user's environment. Currently available commercial spatial mapping devices mostly use infrared camera to obtain a depth map which is effective only for short to medium distances (3-4 meters). This work describes an extension to the existing environment mapping devices and techniques to enable mapping of larger architectural environments using a combination of a camera, Inertial Measurement Unit (IMU), and Light Detection and Ranging (LIDAR) devices supported by sensor fusion and computer vision techniques. There are three main parts to the proposed system. The first part is data collection and data fusion using embedded hardware, the second part is data processing (segmentation) and the third part is creating a geometry mesh of the environment. The developed system was evaluated against its ability to determine the dimension of the room and of objects within the room. This low cost system can significantly expand the mapping range of the existing mixed reality devices such as Microsoft HoloLens device.en_US
dc.format.mediumETDen_US
dc.publisherVirginia Techen_US
dc.rightsThis item is protected by copyright and/or related rights. Some uses of this item may be deemed fair and permitted by law even without permission from the rights holder(s), or the rights holder(s) may have licensed the work for use under certain conditions. For other uses you need to obtain permission from the rights holder(s).en_US
dc.subjectSensor Fusionen_US
dc.subjectEnvironment Mappingen_US
dc.subjectImage Processingen_US
dc.subjectComputer Visionen_US
dc.titleEnvironment Mapping in Larger Spacesen_US
dc.typeThesisen_US
dc.contributor.departmentComputer Scienceen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineComputer Science and Applicationsen_US
dc.contributor.committeechairGracanin, Denisen_US
dc.contributor.committeememberNorth, Christopher L.en_US
dc.contributor.committeememberOgle, Jeffrey Todden_US


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