La réalité augmentée consiste à superposer des éléments virtuels à notre réalité, soit au niveau visuel ou auditif. En réalité augmentée, l’ajout d’un avatar à un environnement virtuel comporte plusieurs défis jusqu’alors non présents pour d’autres médias comme les écrans 2D ou la réalité virtuelle. En effet, l’avatar est exposé au monde réel de l’utilisateur […]

CAE Santé a besoin de fournir rapidement des simulateurs médicaux à ses clients et de concevoir des prototypes fonctionnels. L’objectif du stage est de mettre en place un outil d’aide à la décision en intégrant les procédés de fabrication additives afin qu’elle puisse diminuer ces cycles de développement de produit. L’outil permettra d’évaluer les pièces […]

This project is addressed to conduct a full detailed airflow analysis on a 7000XR, a level D full flight simulator. Such machine is equipped with advanced electronic systems such as avionics, flight instruments and collimated visual system, where generated heat affects the user thermal comfort during training. The objective of this study is to perform […]

Power characteristics of CAE equipment are regularly requested by the customers (some customers are penalized by their service providers for poor power factor, etc.), but there are presently no quick and safe means of logging power at the main power distribution and motion control cabinets. The goal of the power logger, to be designed and […]

Automatically assessing a pilot performance during a flight training session is a capability that can enhance the flight instructor during his duty. From data gathered during a flight maneuver, we are looking for a way to automatically assess pilot performance to augment instructor performance and provide objectivity during flight training assessment.

In aviation industry a large flow of data including thousands of parameters are registered by FDRs (Flight Data Recorders). The objective of this project is to use this big data to improve the efficiency and safety of flights. The data is collected and segmented from the raw datasets and then proper data cleaning methods are […]

Complex learning environments that are mediated by technology require distinct concurrent methodologies that reveal when and where learning may occur (Azevedo et al., in press; Lajoie, Gauthier, & Lu, 2009). In this research, we use methods that are rooted in the learning sciences in order to identify, assess, and validate the instructional and learning components […]

The project aims to improve recently developed algorithms by our research team for the automatic definition of pushbacks in open pit mining that meet complex geometric constraints. Three specific objectives are pursued: a) include an approximate sequencing of blocks within a phase to enable a better discounting of the block values; b) enable to include […]

In the context of aircrew training on flight simulators, the simulation of the radar system requires a large amount of calculation which needs to be performed in real-time. Mapping the virtual environment (landmass, vegetation, buildings, roads, etc.), modeling energy propagation and performing the post-processing are among the most intensive tasks. Most of these are currently […]