Autonomous Motion Planning for a Safe and Efficient Last Mile Delivery Robot

In recent years, the North American population has become increasingly dependent on food and consumer product delivery. As a result of the current COVID-19 pandemic there have been surges in delivery demand. There are several active driving-based delivery methods, such as Uber Eats, however drivers are required to navigate through traffic, park, turn off their vehicle, exit and walk to the customer doorstep to drop products off. This cumbersome and inefficient final step of the service is known as the last-mile delivery problem.

Ice coverage prediction for the St-Lawrence River

This project aims at creating a model for forecasting ice formation in the St. Lawrence Seaway between the Welland Canal and Quebec City. This will improve drastically the planning of all maritime operations during the winter transition period, before the freeze-up.

Preparation of Sentinel Wraps for Detection of Pathogens in Food Packages

The goal of this project is to develop and integrate the required technology to create food wrapping materials that can tell any untrained consumer if the food is safe to eat, without the need to use sophisticated equipment. This will be achieved by incorporating a barcode-type biosensor on an antifouling food wrap. The biosensor is capable of detecting traces of specific pathogenic strain of bacteria Escherichia coli O157:H7. Therefore, food contamination can be screened on the shelf via a simple handheld fluorescence detector device.

Smart Over-the-Road Loading Matching Suggestions

Freight service is an integral part of any business that supplies or sells physical goods. Even though its importance is often hidden from consumers, the sight of trucks and cargo vans on city streets and highways can make one appreciate the extent to which freight service impacts our lives. In North America, many carriers (i.e. companies that own trucks, vans, etc.) care medium or small sized, consisting of a handful to no more than a hundred trucks in their fleet.

Constrained dynamic pricing for airport parking reservations

To make best use of technology on available big data (e.g., airport parking reservation data), we design and develop an innovative big data science solution for constrained dynamic pricing for airport parking reservations in the proposed research project undertaken by the intern. From scientific point of view, such a solution is novel in the sense that it will be capable of achieving multiple objectives (e.g., maximize revenue and other objectives) and solving the constrained dynamic pricing problem (in which price is constrained or bounded by some user-specified threshold).

Humic Land, a biological promoter of crop growth and the soil microbiome

Humic Land is a multi-purpose, 100% organic fertilizer that was produced from black peat using innovative technology that protects live soil microorganisms. It contains a microbial consortia that may produce plant-growth promoting substances, thereby acting as biological promotor of crops growing in stressful conditions.

Retrofit of Switcher Locomotive: Clean Energy Hydrogen Fuel Cell/ Battery Hybrid (Hydrail) with Innovative High Density H2 Storage

The H2M project, with the assistance of University of British Columbia Okanagan, will demonstrate a scaled down fuel cell powered rail locomotive (Hydrail) (250 horse power) and solid-state hydrogen storage retrofit solution on a Southern Railway of BC (SRY) diesel-electric switching locomotive. If the scaled down trial is successful, the project will proceed to scale up to a full powered locomotive (700 horse power). The project is expected to be complete by March 2022. H2M’s application includes local partners: University of British Columbia Okanagan and Southern Railway of BC.

Narrowing the Gap Between Software Requirements and Tests

Safety critical software systems such as those that control nir navigntion nre subject to very high standards of quality. They need to explicitly provide system requirements nnd make sure there nre enough test cases that nssure an acceptable level of quality, per requirement. However, with the current fnst pace ofsollworo development, sometimes the program and tests are solid but the requirement documents get outdated. It is also possible thnt tho requirement documents are up-to-date, but the tests nre incomplete.

Using Deep Learning to Leverage Data Transfer and AI in Smart Vehicles

Smart autonomous vehicles have now become a reality while the efforts are ongoing to improve the safety, security, efficiency, and performance. In the fast paced digital world, all devices including the vehicles generate a huge amount of data every second which has to be analyzed, stored, and communicated with other devices to reach the next technology milestone. Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), and Vehicle-to-Device (V2D) communication protocols enable such communications for the smart connected vehicles.

Usability evaluation of a runway testing device interface

Various forms of usability testing can be used to optimize interface design and maximize human-computer interaction principles . A well-integrated, intuitive interface has the capacity to improve human efficiency, mitigate errors or lapses and improve situational awareness. Usability methodologies such as heuristic evaluations and cognitive walkthroughs can be performed at any point in the design process to identify areas for improvement. Additionally, in-field usability testing with users of the technology can further pinpoint inadequacies in software or hardware design.