Using 3D visualization techniques to construct a road inventory database

Master's

Saved in:
Bibliographic Details
Main Author: MAGESH CHANDRAMOULI
Other Authors: CIVIL ENGINEERING
Format: Theses and Dissertations
Language:English
Published: 2019
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/161001
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
Language: English
id sg-nus-scholar.10635-161001
record_format dspace
spelling sg-nus-scholar.10635-1610012019-11-01T13:13:33Z Using 3D visualization techniques to construct a road inventory database MAGESH CHANDRAMOULI CIVIL ENGINEERING CHAN WENG TAT FWA TIEN FANG Road Inventory, 3D Visualization, VRML, Database Master's MASTER OF ENGINEERING 2019-10-31T18:02:57Z 2019-10-31T18:02:57Z 2005-01-06 Thesis MAGESH CHANDRAMOULI (2005-01-06). Using 3D visualization techniques to construct a road inventory database. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/161001 en
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
language English
topic Road Inventory, 3D Visualization, VRML, Database
spellingShingle Road Inventory, 3D Visualization, VRML, Database
MAGESH CHANDRAMOULI
Using 3D visualization techniques to construct a road inventory database
description Master's
author2 CIVIL ENGINEERING
author_facet CIVIL ENGINEERING
MAGESH CHANDRAMOULI
format Theses and Dissertations
author MAGESH CHANDRAMOULI
author_sort MAGESH CHANDRAMOULI
title Using 3D visualization techniques to construct a road inventory database
title_short Using 3D visualization techniques to construct a road inventory database
title_full Using 3D visualization techniques to construct a road inventory database
title_fullStr Using 3D visualization techniques to construct a road inventory database
title_full_unstemmed Using 3D visualization techniques to construct a road inventory database
title_sort using 3d visualization techniques to construct a road inventory database
publishDate 2019
url https://scholarbank.nus.edu.sg/handle/10635/161001
_version_ 1681100148137000960