Abstract
New computational methods provide means to deduce semantic information from measurements, such as range scans and photographs of building interiors. In this paper, we showcase a method that allows to estimate elements that are not directly observable – ducts and power lines in walls. For this, we combine explicit information, which is deduced by algorithms from measured data, with implicit information that is publicly available: technical standards that restrict the placement of electrical power lines. We present a complete pipeline from measurements to a hypothesis of these power lines within walls. The approach is structured into the following steps: First, a coarse geometry is extracted from input measurements; i.e., the unstructured point cloud which was acquired by laser scanning is transformed into a simplistic building model. Then, visible endpoints of electrical appliances (e.g. sockets, switches) are detected from photos using machine learning techniques and a pre-trained classifier. Afterwards, positions of installation zones in walls are generated. Finally, a hypothesis of non-visible cable ducts is generated, under the assumption that (i) the real configuration obeys the rules of legal requirements and standards and (ii) the configuration connects all endpoints using a minimal amount of resources, i.e. cable length.
Original language | English |
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Title of host publication | Keeping Up with Technologies to Create the Cognitive City |
Editors | Eva Vaništa Lazarević, Milena Vukmirović, Aleksandra Krstić-Furundžić, Aleksandra Đukić |
Place of Publication | UK |
Publisher | Cambridge Scholars Publishing |
Chapter | 23 |
Pages | 318-328 |
Number of pages | 11 |
ISBN (Print) | 978-1-5275-2048-6 |
Publication status | Published - 2019 |
Event | Places and Technologies 2016 - University of Belgrade - Faculty of Architecture, Belgrade, Serbia Duration: 14 Apr 2016 → 15 Apr 2016 |
Conference
Conference | Places and Technologies 2016 |
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Country/Territory | Serbia |
City | Belgrade |
Period | 14/04/16 → 15/04/16 |
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
Fields of Expertise
- Information, Communication & Computing