Grants and Contributions:

Augmented reality system with AI modules for efficient remote guidance of drones

955579

$283,140.00

Aug 14, 2020 - Aug 31, 2024

This Project aims at developing a system for the remote guidance of drones that will integrate artificial intelligence (AI) tools and generic augmented reality (AR) to improve drone capabilities to carry out complex tasks related to transportation. Drones can be remotely guided by an expert or a team of technicians that could be located anywhere, and the system will allow for efficient on-site, on-time inspection and delivery, and thus quick and efficient intervention and remote guidance. In the recent years, unmanned aerial vehicles (UAV), and especially drones, have emerged as one of the most promising technologies in civil applications such as infrastructure inspection and maintenance, environmental surveillance and monitoring and transportation. In the transportation domain, drones can play a central role in ensuring remote and rapid parcel or medical supply delivery and infrastructure inspection (e.g., roads, rails, cardo vessels, stations, ports, airports). However, one of the main issues that can hinder the large-scale utilisation of drones is the difficulty of ensuring a robust and rapid interaction to a complex and dynamic environment and reacting to hazardous situations that can disrupt tasks and safe navigation (e.g., difficult terrain, weather conditions, obstacles, power lines).

National Research Council Canada

In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.

Gatineau, Quebec, CA J8X 3X7

172-2020-2021-Q2-955579

Grant

Grants and Contributions

119278893

Academia

This agreement has been amended 1 time(s). The end date of this agreement has been modified by 365 days.

Sep 13, 2023

Université du Québec en Outaouais

Hull–Aylmer

24030

Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives

Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.

541710