Accession Number : ADA624772


Title :   3D Modeling of Interior Building Environments and Objects from Noisy Sensor Suites


Descriptive Note : Doctoral thesis


Corporate Author : CALIFORNIA UNIV BERKELEY DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES


Personal Author(s) : Turner, Eric L


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a624772.pdf


Report Date : 14 May 2015


Pagination or Media Count : 150


Abstract : In this dissertation, we present several techniques used to automatically generate virtual models of indoor building environments. The interior environment of a building is scanned by a custom hardware system, which provides raw laser and camera sensor readings used to develop these models. Our modeling techniques can be separated into three categories: 2D oor plan models, simplified 2.5D extruded models, and fully complex and detailed 3D models. All models are produced automatically from the output data of a backpack-mounted ambulatory scanning system, which can scan multiple oors of a building efficiently. We can capture the entirety of a large building in only a few hours, including staircases and other hard to reach locations, which improves upon the state-of-the-art static scanning by several orders of magnitude. Our algorithms are capable of producing many kinds of 3D virtual building models while traversing through a GPS-denied environment, including point clouds, 2D oor plans, and 3D building models.


Descriptors :   *BUILDINGS , DETECTORS , ENVIRONMENTS , INTERNAL , LASERS , POSITION(LOCATION) , SCANNING , THESES , VIRTUAL REALITY


Subject Categories : Structural Engineering and Building Technology


Distribution Statement : APPROVED FOR PUBLIC RELEASE