Digitization of Existing Buildings with Arbitrary Shaped Spaces from Point Clouds-Reference-Cited by-同舟云学术

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Digitization of Existing Buildings with Arbitrary Shaped Spaces from Point Clouds

Published:2024-09 Issue:5 Volume:38 Page:
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Drobnyi Viktor¹^ORCID,Li Shuyan²,Brilakis Ioannis³^ORCID

Affiliation:

1. Ph.D. Candidate, Dept. of Engineering, Univ. of Cambridge, Civil Engineering Bldg., JJ Thomson Ave. 7a, Cambridge CB3 0FA, UK (corresponding author). ORCID: .

2. Research Associate, Dept. of Engineering, Univ. of Cambridge, Civil Engineering Bldg., JJ Thomson Ave. 7a, Cambridge CB3 0FA, UK.

3. Professor, Dept. of Engineering, Univ. of Cambridge, Civil Engineering Bldg., JJ Thomson Ave. 7a, Cambridge CB3 0FA, UK. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JCCEE5.CPENG-5853

Reference52 articles.

1. Prioritizing object types for modelling existing industrial facilities

2. A Practical Survey on Visual Odometry for Autonomous Driving in Challenging Scenarios and Conditions

3. Anagnostopoulos, I., M. Belsky, and I. Brilakis. 2016a. Object boundaries and room detection in As-Is BIM models from point cloud data (July). Osaka, Japan: International Conference on Computing in Civil and Building Engineering.

4. Detection of Walls, Floors, and Ceilings in Point Cloud Data

5. Deviation analysis method for the assessment of the quality of the as-is Building Information Models generated from point cloud data

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