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You searched for +publisher:"Georgia Tech" +contributor:("Teizer, Jochen"). Showing records 1 – 8 of 8 total matches.

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1. Costin, Aaron M. Integration of passive RFID location tracking for real-time visualization in building information models (BIM).

Degree: MS, Civil and Environmental Engineering, 2013, Georgia Tech

 Navigation through large and unfamiliar facilities with labyrinths of corridors and rooms is difficult and often results in a person being lost. Additionally, locating a… (more)

Subjects/Keywords: Passive radio frequency identification (RFID); Building information modeling (BIM); Visualization; Indoor localization; Location tracking; Building information modeling; Radio frequency identification systems

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APA (6th Edition):

Costin, A. M. (2013). Integration of passive RFID location tracking for real-time visualization in building information models (BIM). (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50395

Chicago Manual of Style (16th Edition):

Costin, Aaron M. “Integration of passive RFID location tracking for real-time visualization in building information models (BIM).” 2013. Masters Thesis, Georgia Tech. Accessed October 21, 2020. http://hdl.handle.net/1853/50395.

MLA Handbook (7th Edition):

Costin, Aaron M. “Integration of passive RFID location tracking for real-time visualization in building information models (BIM).” 2013. Web. 21 Oct 2020.

Vancouver:

Costin AM. Integration of passive RFID location tracking for real-time visualization in building information models (BIM). [Internet] [Masters thesis]. Georgia Tech; 2013. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/1853/50395.

Council of Science Editors:

Costin AM. Integration of passive RFID location tracking for real-time visualization in building information models (BIM). [Masters Thesis]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50395

2. Allread, Benjamin Scott. Real-time pro-active safety in construction.

Degree: MS, Civil and Environmental Engineering, 2009, Georgia Tech

 Collisions between personnel on foot and heavy equipment or materials on a construction site can be characterized as a contact collision. These types of incidents… (more)

Subjects/Keywords: Safety; Proximity; Construction; Equipment; Blind areas; Real-time; Pro-active; Blind spots; Construction industry Safety measures; Proximity detectors; Detectors

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APA (6th Edition):

Allread, B. S. (2009). Real-time pro-active safety in construction. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/34815

Chicago Manual of Style (16th Edition):

Allread, Benjamin Scott. “Real-time pro-active safety in construction.” 2009. Masters Thesis, Georgia Tech. Accessed October 21, 2020. http://hdl.handle.net/1853/34815.

MLA Handbook (7th Edition):

Allread, Benjamin Scott. “Real-time pro-active safety in construction.” 2009. Web. 21 Oct 2020.

Vancouver:

Allread BS. Real-time pro-active safety in construction. [Internet] [Masters thesis]. Georgia Tech; 2009. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/1853/34815.

Council of Science Editors:

Allread BS. Real-time pro-active safety in construction. [Masters Thesis]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/34815


Georgia Tech

3. Lee, Jin Kook. Building environment rule and analysis (BERA) language and its application for evaluating building circulation and spatial program.

Degree: PhD, Architecture, 2011, Georgia Tech

 This study aims to design and implement a domain-specific computer programming language: the Building Environment Rule and Analysis (BERA) Language. As a result of the… (more)

Subjects/Keywords: Industry Foundation Class (IFC); Building Information Modeling (BIM); Language Design; AEC (Architecture Engineering Construction); Design evaluation; BERA language; Space program; Building circulation; Domain-specific language; Rule checking; Programming languages (Electronic computers); Buildings Computer-aided design

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APA (6th Edition):

Lee, J. K. (2011). Building environment rule and analysis (BERA) language and its application for evaluating building circulation and spatial program. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39482

Chicago Manual of Style (16th Edition):

Lee, Jin Kook. “Building environment rule and analysis (BERA) language and its application for evaluating building circulation and spatial program.” 2011. Doctoral Dissertation, Georgia Tech. Accessed October 21, 2020. http://hdl.handle.net/1853/39482.

MLA Handbook (7th Edition):

Lee, Jin Kook. “Building environment rule and analysis (BERA) language and its application for evaluating building circulation and spatial program.” 2011. Web. 21 Oct 2020.

Vancouver:

Lee JK. Building environment rule and analysis (BERA) language and its application for evaluating building circulation and spatial program. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/1853/39482.

Council of Science Editors:

Lee JK. Building environment rule and analysis (BERA) language and its application for evaluating building circulation and spatial program. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39482


Georgia Tech

4. Zhu, Zhenhua. Column recogniton and defects/damage properties retrieval for rapid infrastructure assessment and rehabilitation using machine vision.

Degree: PhD, Civil and Environmental Engineering, 2011, Georgia Tech

 No matter how inspection techniques have been advanced, manual visual inspection is currently still the first and fundamental step in assessing civil infrastructure. If no… (more)

Subjects/Keywords: Machine vision; Defects/damage properties retrieval; Concrete surface; Image processing; Defects/damage detection; Column recognition; Surfaces (Technology) Defects; Building inspection; Concrete Testing

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APA (6th Edition):

Zhu, Z. (2011). Column recogniton and defects/damage properties retrieval for rapid infrastructure assessment and rehabilitation using machine vision. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44768

Chicago Manual of Style (16th Edition):

Zhu, Zhenhua. “Column recogniton and defects/damage properties retrieval for rapid infrastructure assessment and rehabilitation using machine vision.” 2011. Doctoral Dissertation, Georgia Tech. Accessed October 21, 2020. http://hdl.handle.net/1853/44768.

MLA Handbook (7th Edition):

Zhu, Zhenhua. “Column recogniton and defects/damage properties retrieval for rapid infrastructure assessment and rehabilitation using machine vision.” 2011. Web. 21 Oct 2020.

Vancouver:

Zhu Z. Column recogniton and defects/damage properties retrieval for rapid infrastructure assessment and rehabilitation using machine vision. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/1853/44768.

Council of Science Editors:

Zhu Z. Column recogniton and defects/damage properties retrieval for rapid infrastructure assessment and rehabilitation using machine vision. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/44768

5. Park, Man-Woo. Automated 3D vision-based tracking of construction entities.

Degree: PhD, Civil and Environmental Engineering, 2012, Georgia Tech

 In construction sites, tracking project-related entities such as construction equipment, materials, and personnel provides useful information for productivity measurement, progress monitoring, on-site safety enhancement, and… (more)

Subjects/Keywords: Automation; Site monitoring; Tracking; Computer vision; Image processing; Image processing Digital techniques; Optical data processing

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APA (6th Edition):

Park, M. (2012). Automated 3D vision-based tracking of construction entities. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/45782

Chicago Manual of Style (16th Edition):

Park, Man-Woo. “Automated 3D vision-based tracking of construction entities.” 2012. Doctoral Dissertation, Georgia Tech. Accessed October 21, 2020. http://hdl.handle.net/1853/45782.

MLA Handbook (7th Edition):

Park, Man-Woo. “Automated 3D vision-based tracking of construction entities.” 2012. Web. 21 Oct 2020.

Vancouver:

Park M. Automated 3D vision-based tracking of construction entities. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/1853/45782.

Council of Science Editors:

Park M. Automated 3D vision-based tracking of construction entities. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/45782

6. Fathi, Habib. Videogrammetric roof surveying using a hybrid structure from motion approach.

Degree: PhD, Civil and Environmental Engineering, 2013, Georgia Tech

 In a roofing project, acquiring the underlying as-built 3D geometry and visualizing the roof structure is needed in different phases of the project life-cycle. Architectural… (more)

Subjects/Keywords: Roof surveying; 3D reconstruction; Structure from motion

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APA (6th Edition):

Fathi, H. (2013). Videogrammetric roof surveying using a hybrid structure from motion approach. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52972

Chicago Manual of Style (16th Edition):

Fathi, Habib. “Videogrammetric roof surveying using a hybrid structure from motion approach.” 2013. Doctoral Dissertation, Georgia Tech. Accessed October 21, 2020. http://hdl.handle.net/1853/52972.

MLA Handbook (7th Edition):

Fathi, Habib. “Videogrammetric roof surveying using a hybrid structure from motion approach.” 2013. Web. 21 Oct 2020.

Vancouver:

Fathi H. Videogrammetric roof surveying using a hybrid structure from motion approach. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/1853/52972.

Council of Science Editors:

Fathi H. Videogrammetric roof surveying using a hybrid structure from motion approach. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52972


Georgia Tech

7. Venugopal, Manu. Formal specification of industry foundation class concepts using engineering ontologies.

Degree: PhD, Civil and Environmental Engineering, 2011, Georgia Tech

 Architecture, Engineering, Construction (AEC) and Facilities Management (FM) involve domains that require a very diverse set of information and model exchanges to fully realize the… (more)

Subjects/Keywords: Semantics; Product/process modeling; Industry Foundation Classes (IFC); Model exchanges; Construction engineering; Building Information Modeling (BIM); Model View Definitions (MVD); Architecture; Computer programs

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Venugopal, M. (2011). Formal specification of industry foundation class concepts using engineering ontologies. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/42868

Chicago Manual of Style (16th Edition):

Venugopal, Manu. “Formal specification of industry foundation class concepts using engineering ontologies.” 2011. Doctoral Dissertation, Georgia Tech. Accessed October 21, 2020. http://hdl.handle.net/1853/42868.

MLA Handbook (7th Edition):

Venugopal, Manu. “Formal specification of industry foundation class concepts using engineering ontologies.” 2011. Web. 21 Oct 2020.

Vancouver:

Venugopal M. Formal specification of industry foundation class concepts using engineering ontologies. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/1853/42868.

Council of Science Editors:

Venugopal M. Formal specification of industry foundation class concepts using engineering ontologies. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/42868


Georgia Tech

8. Ndiour, Ibrahima Jacques. Dynamic curve estimation for visual tracking.

Degree: PhD, Electrical and Computer Engineering, 2010, Georgia Tech

 This thesis tackles the visual tracking problem as a target contour estimation problem in the face of corrupted measurements. The major aim is to design… (more)

Subjects/Keywords: Recursive Bayesian filtering; Optimal estimation; Contour tracking; Visual tracking; Shape; Curve; Filtering; Observer; Segmentation; Computer vision; Image processing; Pattern perception; Pattern recognition systems

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APA (6th Edition):

Ndiour, I. J. (2010). Dynamic curve estimation for visual tracking. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37283

Chicago Manual of Style (16th Edition):

Ndiour, Ibrahima Jacques. “Dynamic curve estimation for visual tracking.” 2010. Doctoral Dissertation, Georgia Tech. Accessed October 21, 2020. http://hdl.handle.net/1853/37283.

MLA Handbook (7th Edition):

Ndiour, Ibrahima Jacques. “Dynamic curve estimation for visual tracking.” 2010. Web. 21 Oct 2020.

Vancouver:

Ndiour IJ. Dynamic curve estimation for visual tracking. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/1853/37283.

Council of Science Editors:

Ndiour IJ. Dynamic curve estimation for visual tracking. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/37283

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