Just like for the automotive industry, there is growing interest in the development of fully autonomous trains. One of the key steps in the creation of a fully autonomous solution is optaining an accurate estimate of the train position and velocity. Accurate estimates are critical component of the train safety during operation and better estimates allow more trains to operate safely on the same track. The current project deals with trains operating in areas without GPS coverage, such as subways, and so accurate position measurements cannot be obtained as frequently.
Autonomous vehicular applications require the distribution of high volume of information-rich and safety-critical data among heterogeneous players. Autonomous vehicles (AV) communicate with each other and the world around them in high mobility manner under poor connectivity and tough signal propagation. Attacking AVs are applicable business and cyber-attacks can affect the AV industry and cause severe damages to individuals and organizations.
This project aims to develop an automatic tool/system to install on a parking enforcement vehicle. The vehicle is to mark vehicles in a parking lot or on road via marking their tires in a municipal time enforced setting. The system will feature risk reducing operation eliminating concerns of hurting any nearby individuals or damaging any vehicles during its operation. The project is planned to be covered in three main stages. 1) a motor driven mechanical mechanism will be designed and tested to realize the marking with hand control.
This internship project aims at developing superior alloy chemistries and processing routes for the manufacture of recrystallization-resistant AlScZrMn(Mg) sheets for automotive brazing applications. Various alloys will be thermodynamically modelled, cast and rolled to thin sheets followed by a stabilization heat treatment. The sheets will finally undergo a simulated heat cycle that resembles that of a typical brazing process during manufacture of automotive heat exchangers.
Birds at airports present danger to moving aircraft and other vehicles using the area. Some of the higher risk bird species are ducks, gulls and shorebirds who come to the grassy areas surrounding the runways to feed on insects. We are attempting to reduce the numbers of these high-risk birds using the Vancouver International Airport by reducing the numbers of the insects they feed on. By changing the way we manage the grassy areas of the airport, we hope to reduce insect abundance, and therefore bird presence.
Proactive road safety analysis allows for the pre-emptive diagnosis of road safety issues without direct observation of traffic accidents by observing traffic-conflict-like events, and this is made possible with large quantities of high-resolution road user trajectory data acquired from video data. However, several practical challenges exist in relation to the nature of this data for use in large-scale automated road safety analyses applications of this nature.
Electroless copper is used by the printed circuit board industry for interconnections between the different components. High-end applications, such as mobile phones, drive the need for smaller connections, flexible substrates and efficient manufacturing methods. Atotech, the industrial partner, is one of the global leaders in this segment. Mount Allison University has been a research partner for eight years, focussing on evaluating copper film stress and hydrogen content.
In order to design and operate more efficient urban transport infrastructure networks along the Cascadia Corridor, improved spatial and temporal data is required to understand travel activity patterns.
In this research project, strength and behaviour of bonded joints is investigated under various loading and geometrical conditions. The interns will prepare specimen in accordance with industry guidelines, test the specimen and record data. Interns will study and investigate the joint behavior under several different scenarios, will model material behavior from the test data. This will enable making reliable prediction of joint performance under different application-specific conditions, using finite element modeling and analysis.
Manual inspection method is still applied by mounting parts on customized checking fixtures and thus dimensions are checked with different gauges/feelers. Typically, it could take 10 -30 minutes to fully inspect the required spatial dimensions of one part. This project will develop an automated 3D dimensional inspection system for deep drawing parts. After manually mounting the part, the system will fully scan the whole part by 3D sensors/scanners.