Show simple item record

dc.contributor.advisorDavani, Darush
dc.contributor.authorMaas, Brandon
dc.contributor.departmentTowson University. Department of Computer and Information Sciencesen_US
dc.date.accessioned2016-09-30T20:03:18Z
dc.date.available2016-09-30T20:03:18Z
dc.date.issued2016-09-30
dc.date.submitted2016-05
dc.description(M.S.) -- Towson University, 2016en_US
dc.description.abstractThis work intends to provide a vision and artificially intelligent recognition system design that can be used in a robotics platform for use in the virtual robotics competition as well as any platform requiring advanced visual processing. This work explores the DARPA robotics competition and analyzes the requirements of each task in the competition. These requirements set a good basis for developing requirements for visual object recognition system. Next we research a number of technologies that would be targeted for integrating into this system such as the Atlas sensor suite, the robotics operating system, Gazebo simulator, and the point cloud library. The system proposed expands on an existing system proposed by Bedkowski et al. and adds the ability to recognize more intricate, non-flat objects through the use of the point cloud library and robotics operating system.en_US
dc.description.urihttp://library.towson.edu/cdm/ref/collection/etd/id/49578en_US
dc.formatapplication/pdf
dc.format.extentvii, 36 pagesen_US
dc.genrethesesen_US
dc.identifierdoi:10.13016/M2TF8M
dc.identifier.otherTSP2016Maas
dc.identifier.urihttp://hdl.handle.net/11603/3263
dc.language.isoen_USen_US
dc.titleA study of 3D object detection and classificationen_US
dc.typeTexten_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record