Subventions et des contributions :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019).

Reality capture (RC) of constructed facilities (e.g. buildings) is an important step towards developing reliablex000D
as-is models that can be used for facilities management. Traditionally, these models are developed based onx000D
design drawings and/or surveying data of the facilities. However, design drawings of existing facilities may bex000D
missing or not reflecting the actual conditions of the facilities because of accumulated deterioration or becausex000D
of maintenance and renovation activities that were not documented. On the other hand, conventional surveyingx000D
methods are expensive, time consuming, and may not be safe in some cases (e.g. post-disaster inspection).x000D
Pegasus Research & Technologies (PRT) provides research and engineering services to the Canadian aerospacex000D
and defense sector, such as simulation test-bed for Unmanned Aerial Vehicles (UAV) experimentation usingx000D
artificial intelligence. Recently, the service offering of PRT has grown to include RC for buildings facilitiesx000D
management applications using a laser scanner mounted on the UAV. However, transforming the data collectedx000D
by the scanner to a useful Building Information Model (BIM) is a challenging task.x000D
This project assumes that a UAV equipped with a laser scanner is used for collecting the data needed forx000D
creating a 3D model of the interior spaces in a building. Furthermore, it assumes that there is an algorithm forx000D
object recognition/classification based on the sensory data collected by the UAV. The results of the recognitionx000D
are building components (e.g. wall, window, door, etc.) that are already defined in a semantic map. However, ax000D
gap in this area is that there is currently no direct way of linking this semantic map with BIM. The project aimsx000D
to: (1) develop an interface between the semantic map and standard BIM classes; and (2) automatically create ax000D
BIM model based on the collected data in order to support the subsequent building inspection tasks.