Our team works closely with industrial partners. The team apply their expertise to address companies specific technical problems.
Secure car to car communication
Over the past few years there has been significant development in vehicular communications to provide active safety applications such as collision warning, collision avoidance, emergency vehicle signaling, road side conditions, warning on environmental hazards, and traffic and road conditions. Any security weakness in the vehicle communication system have direct impact on other vehicles and as well as on its surrounding environment. The purpose of this project is to develop a custom designed hardware that is secure against side‐channel device attacks, while ensuring the efficiency of the design. This project is founded by FedDev Canada.
Sensor Network to Increase Roll-off Trailers Safety
In collaboration with a Canadian Truck manufacturer, a sensor network was developed. Sensors were used to ensure operational safety and reduce human error. The main concern was to provide several types of warnings for the operator. If the system still didn't receive driver correction, it will automatically disable the loading process, until proper setting is detected. This project was funded by NSERC for Waltron Trailers Inc.
Adaptive Scheduling for Flexible Manufacturing Using Knowledge‐Based Intelligent Systems
Production scheduling tasks in manufacturing environments is an important and challenging task. Automatic production scheduler allocates available resources over time for performing a collection of operations. This project aims to develop model‐free, intelligent scheduler using Genetic algorithm for an industrial partner. This project is funded by NSERC, OCE, and Connect Canada.
Online Airbag Fabric Quality Control
The aim was to investigate development of an online quality control solution for airbag fabric manufacturing line. We found a visual indicator which could be used to separate the acceptable and failed samples while fabric was on the loom. A vision-based processing algorithm was developed which was used to alarm the operator of non-ideal condition. The tests showed that the method is highly reliable and accurate, real-time and non-destructive. Support for this project was provided by NSERC in collaboration wit Autoliv Inc.
An integrated smart active safety system for vehicles
The objective of the proposed research is to integrate sensors, advanced microelectronic signal processing, FPGA, vehicle networking, fault tolerant integrated chassis control (FTICC), safety related telematics, and data fusion algorithms to realize a dedicated microcontroller based Integrated Smart Active Safety System (ISASS) for vehicles. This project was funded by AUTO21.