Orientation-Constrained System for Lamp Detection in Buildings Based on Computer Vision

Abstract

Computer vision is used in this work to detect lighting elements in buildings with the goal of improving the accuracy of previous methods to provide a precise inventory of the location and state of lamps. Using the framework developed in our previous works, we introduce two new modifications to enhance the system: first, a constraint on the orientation of the detected poses in the optimization methods for both the initial and the refined estimates based on the geometric information of the building information modelling (BIM) model; second, an additional reprojection error filtering step to discard the erroneous poses introduced with the orientation restrictions, keeping the identification and localization errors low while greatly increasing the number of detections. These enhancements are tested in five different case studies with more than 30,000 images, with results showing improvements in the number of detections, the percentage of correct model and state identifications, and the distance between detections and reference positions.

Model Calibration Methodology to Assess the Actual Lighting Conditions of a Road Infrastructure

“…These energy reduction approaches are aligned with the Lighting Europe's Strategy Roadmap 2025, focused on enhancing the lighting quality through LEDification, intelligent lighting systems, and human centric lighting based on a circular economy. Many studies have been dedicated to the study of indoor building lighting systems [6][7][8][9][10][11][12] to design energy saving measures. However, one of the main energy consumers is road lighting, representing around 1.3% of the global electricity use [2].…”

“…The most accepted lighting simulation tools and their combined use have been investigated by Baloch et al [21], deducing that MATLAB is the most popular software adopted by researchers for lighting simulation and EnergyPlus for energy consumption. MATLAB was used by Shaikh et al [11] to develop an intelligent multi-objective system for the management of the energy efficiency in buildings and the users' comfort. However, other tools such as Radiance, Daysim, BuildOpt, DIALux, Relux, or Oxytech have also been used by other authors in their works.…”