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<p align="justify"> This research is aiming to generate 3D building model from Doping Laboratory of Bandung Institute of Technology (ITB) using Mobile Mapping System (MMS) TOPCON IP-S3 HD1 and determine the effect of the scan, image, cloud processing, and adjustment to the building m...

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Bibliographic Details
Main Author: OKTAPRIMA (NIM : 15112101), TEGUH
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/31260
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:31260
spelling id-itb.:312602018-09-27T11:03:19Z#TITLE_ALTERNATIVE# OKTAPRIMA (NIM : 15112101), TEGUH Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/31260 <p align="justify"> This research is aiming to generate 3D building model from Doping Laboratory of Bandung Institute of Technology (ITB) using Mobile Mapping System (MMS) TOPCON IP-S3 HD1 and determine the effect of the scan, image, cloud processing, and adjustment to the building model. This model is needed to give information to the visitor about building information in ITB. The example of the device to create that model is MMS. MMS is integrated system between Global Navigation Satellite System (GNSS), Inertial Measurement Unit (IMU), laser scanner, camera, and wheel encoder. The process to create 3D building model in MMS is data collection, post processing, and 3D modeling. Data collection has some step, installation, setting, calibration, and data logging. Post-processing uses several processes, trajectory estimation, scan processing, adjustment, images, and cloud processing. Those processes influence the result. The process such as scan processing and adjustment affect the model accuracy. Moreover, Images processing is used to colorize the model while the effect of cloud processing changes the number of the point cloud. 3D modeling method which used is meshing to create object surface. The result of MMS compared with Terrestrial Laser Scanner (TLS) then the result accuracy calculated using root mean square error (RMSE). RMSE result is 0.087 meter which means this model has a measurement error of 8.7 centimeters to TLS result. <br /> <p align="justify"> <br /> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description <p align="justify"> This research is aiming to generate 3D building model from Doping Laboratory of Bandung Institute of Technology (ITB) using Mobile Mapping System (MMS) TOPCON IP-S3 HD1 and determine the effect of the scan, image, cloud processing, and adjustment to the building model. This model is needed to give information to the visitor about building information in ITB. The example of the device to create that model is MMS. MMS is integrated system between Global Navigation Satellite System (GNSS), Inertial Measurement Unit (IMU), laser scanner, camera, and wheel encoder. The process to create 3D building model in MMS is data collection, post processing, and 3D modeling. Data collection has some step, installation, setting, calibration, and data logging. Post-processing uses several processes, trajectory estimation, scan processing, adjustment, images, and cloud processing. Those processes influence the result. The process such as scan processing and adjustment affect the model accuracy. Moreover, Images processing is used to colorize the model while the effect of cloud processing changes the number of the point cloud. 3D modeling method which used is meshing to create object surface. The result of MMS compared with Terrestrial Laser Scanner (TLS) then the result accuracy calculated using root mean square error (RMSE). RMSE result is 0.087 meter which means this model has a measurement error of 8.7 centimeters to TLS result. <br /> <p align="justify"> <br />
format Final Project
author OKTAPRIMA (NIM : 15112101), TEGUH
spellingShingle OKTAPRIMA (NIM : 15112101), TEGUH
#TITLE_ALTERNATIVE#
author_facet OKTAPRIMA (NIM : 15112101), TEGUH
author_sort OKTAPRIMA (NIM : 15112101), TEGUH
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/31260
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