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Atlas · Grant RecordFederal grant

Ryerson University

National Research Council Canada — Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives — $464,980

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Purpose

This Project considers the intricate challenges that are associated with transportation and logistics support to remote and northern areas of Canada. The objective of the Project is to design and develop autonomous capabilities for the navigation of unmanned aircraft systems (UAS) in beyond visual line of sight (BVLOS) range where operator intervention may not be feasible. The Project will consist of the development of AI-based algorithms for autonomous BVLOS flight routes, algorithm development for simultaneous localization and mapping, the design of vision-based control methods for landings, intelligent aerial manipulation control techniques for package delivery and pickups; collecting drone flight and delivery-pickup data from northern Manitoba communities and verifying the AI-based methods through simulations and experiments.

Ryerson University × National Research Council Canada

8 grants totalling $14.0M

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

1,000 grants totalling $348.9M

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