4.7 Article

Use of BIM data as input and output for improved detection of lighting. elements in buildings

Journal

AUTOMATION IN CONSTRUCTION
Volume 106, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.autcon.2019.102852

Keywords

Building information modeling; Building lighting; Object detection; Pose estimation; Chamfer matching

Funding

  1. European Regional Development Fund (ERDF)
  2. Galician Regional Government (Xunta de Galicia)
  3. Spanish Ministry of Economy and Competitiveness, Spain (Ministerio de Economia y Competitividad) under the National Science Program [TEC2014-54335-C4-3-R, TEC2017-84197-C4-2-R]
  4. INMENA project through the Xunta de Galicia CONECTA PEME 2018 [IN852A 2018/59]
  5. Xunta de Galicia [ED481A]

Ask authors/readers for more resources

This paper introduces a complete method for the automatic detection, identification and localization of lighting elements in buildings, leveraging the available building information modeling (BIM) data of a building and feeding the BIM model with the new collected information, which is key for energy-saving strategies. The detection system is heavily improved from our previous work, with the following two main contributions: (i) a new refinement algorithm to provide a better detection rate and identification performance with comparable computational resources and (ii) a new plane estimation, filtering and projection step to leverage the BIM information earlier for lamps that are both hanging and embedded. The two modifications are thoroughly tested in five different case studies, yielding better results in terms of detection, identification and localization.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available