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Virtual Cities: 3D Urban Modeling from Low Resolution LiDAR Data

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Anas AlfarisAuthors Info & Claims

SIGSPATIAL '17: Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Article No.: 86, Pages 1 - 4

https://doi.org/10.1145/3139958.3140025

Published: 07 November 2017 Publication History

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Abstract

City-scale 3D models represent an important component in the analysis of urban design, and the analysis of urban systems such as energy and transportation systems. Using manual methods to build large-scale 3D models is a time-consuming and an expensive process. Thus, advancing 3D modeling automation literature can greatly contribute to and complement smart-city initiatives. In this paper, we demonstratean efficient and fully-automatic 3D modeling pipeline that utilizes low resolution noisy LiDAR dataset to create city-scale 3D model.

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Cited By

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Ogawa YSato GSekimoto Y(2024)Geometric-based approach for linking various building measurement data to a 3D city modelPLOS ONE10.1371/journal.pone.029644519:1(e0296445)Online publication date: 5-Jan-2024
https://doi.org/10.1371/journal.pone.0296445
Miranda FOrtner TMoreira GHosseini MVuckovic MBiljecki FSilva CLage MFerreira N(2024)The State of the Art in Visual Analytics for 3D Urban DataComputer Graphics Forum10.1111/cgf.1511243:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15112
Brooks CIsci SKanza YKlosowski JWoods R(2023)ACM SIGSPATIAL GISCUP 2022 Workshop Report: Extracting Building Footprints from LiDAR Point Clouds Seattle, Washington, USA, November 1, 2022SIGSPATIAL Special10.1145/3632268.363228514:1(51-55)Online publication date: 7-Nov-2023
https://dl.acm.org/doi/10.1145/3632268.3632285
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Virtual Cities: 3D Urban Modeling from Low Resolution LiDAR Data

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SIGSPATIAL '17: Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 2017

677 pages

ISBN:9781450354905

DOI:10.1145/3139958

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 07 November 2017

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SIGSPATIAL'17: 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 7 - 10, 2017

CA, Redondo Beach, USA

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SIGSPATIAL '17 Paper Acceptance Rate 39 of 193 submissions, 20%;

Overall Acceptance Rate 220 of 1,116 submissions, 20%

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Ogawa YSato GSekimoto Y(2024)Geometric-based approach for linking various building measurement data to a 3D city modelPLOS ONE10.1371/journal.pone.029644519:1(e0296445)Online publication date: 5-Jan-2024
https://doi.org/10.1371/journal.pone.0296445
Miranda FOrtner TMoreira GHosseini MVuckovic MBiljecki FSilva CLage MFerreira N(2024)The State of the Art in Visual Analytics for 3D Urban DataComputer Graphics Forum10.1111/cgf.1511243:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15112
Brooks CIsci SKanza YKlosowski JWoods R(2023)ACM SIGSPATIAL GISCUP 2022 Workshop Report: Extracting Building Footprints from LiDAR Point Clouds Seattle, Washington, USA, November 1, 2022SIGSPATIAL Special10.1145/3632268.363228514:1(51-55)Online publication date: 7-Nov-2023
https://dl.acm.org/doi/10.1145/3632268.3632285
Xu XRenz MSarwat M(2022)An unsupervised building footprints delineation approach for large-scale LiDAR point cloudsProceedings of the 30th International Conference on Advances in Geographic Information Systems10.1145/3557915.3565986(1-4)Online publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1145/3557915.3565986
Chen WWang ZLi ZXie YJia XLi ARenz MSarwat M(2022)Deep semantic segmentation for building detection using knowledge-informed features from LiDAR point cloudsProceedings of the 30th International Conference on Advances in Geographic Information Systems10.1145/3557915.3565985(1-4)Online publication date: 1-Nov-2022
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Song HJung JRenz MSarwat M(2022)Challenges in building extraction from airborne LiDAR dataProceedings of the 30th International Conference on Advances in Geographic Information Systems10.1145/3557915.3565983(1-4)Online publication date: 1-Nov-2022
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Seto TSekimoto YAsahi KEndo T(2020)Constructing a digital city on a web-3D platformProceedings of the 3rd ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities10.1145/3423455.3430316(1-9)Online publication date: 3-Nov-2020
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Jones MHippolite NPatel RPeters SSingh PChen CWunsche B(2018)Towards a Graph-Based Approach for Mesh Healing for Blocky Objects with Self-Similarities2018 International Conference on Image and Vision Computing New Zealand (IVCNZ)10.1109/IVCNZ.2018.8634737(1-6)Online publication date: Nov-2018
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Oblique Aerial Image Acquisition, 3D City Modeling, 3D City Guide Project for Konya Metropolitan Municipality

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