Participatory Sensing and Digital Twin City: Updating Virtual City Models for Enhanced Risk-Informed Decision-Making-Reference-Cited by-同舟云学术

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Participatory Sensing and Digital Twin City: Updating Virtual City Models for Enhanced Risk-Informed Decision-Making

Published:2020-05 Issue:3 Volume:36 Page:04020005
ISSN:0742-597X
Container-title:Journal of Management in Engineering
language:en
Short-container-title:J. Manage. Eng.

Author:

Ham Youngjib¹^ORCID,Kim Jaeyoon²^ORCID

Affiliation:

1. Assistant Professor, Dept. of Construction Science, Texas A&M Univ., 3137 TAMU, College Station, TX 77843 (corresponding author). ORCID: .

2. Ph.D. Student, Dept. of Civil Engineering, Texas A&M Univ., 3127 TAMU, College Station, TX 77843. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management Science and Operations Research,Strategy and Management,General Engineering,Industrial relations

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ME.1943-5479.0000748

Reference50 articles.

1. Evaluating the impacts of climate disasters and the integration of adaptive flood risk management

2. Applications of 3D City Models: State of the Art Review

3. Chen H. B. Guo Z. Yu and Q. Han. 2016. “Toward real-time and cooperative mobile visual sensing and sharing.” In Proc. IEEE INFOCOM 2016—35th Annual IEEE Int. Conf. on Computer Communications 1–9. New York: IEEE.

4. Crowd-sourced pictures geo-localization method based on street view images and 3D reconstruction

5. Mean shift, mode seeking, and clustering

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