Autonomous Collision Avoidance System for Small Unmanned Aerial Vehicles
The project develops the signal processing and control technologies required for small unmanned aircraft system (sUAS) to satisfy new Transport Canada regulations to operate in non-segregated (civilian) airspace. The product is a sense-and-avoid payload based on optical and infrared sensors and radar for the deconfliction of non-cooperative general aviation (GA) traffic under visual meteorological condition (VMC). With the assistance of Provincial Aerospace Limited, the project makes the transition from experimental deployments into full mission flight-testing in Argentia, Clarenville and Bell Island in Newfoundland and Goose Bay, Labrador under a Special Flight Operating Certificate issued by Transport Canada. It builds on the capacities, created under RAVEN I, an existing sUAS R&D program at Memorial University, in software simulation, mission management, data communications, and sensor systems. It will also leverage on RAVEN II, a recently funded $4.3 million (cash) project supported under Round 5 of the Atlantic Innovation Funds, providing the vital air vehicle test platforms, engineering support and UAV test facilities to ensure the success of the research components under proposed the DND-RPA program. The project addresses DND priority areas in air vehicle, surveillance system and human-system interaction and will provide an end-to-end dual-use solution for enhancing safety and reliability in deploying small UAVs for intelligence, surveillance and reconnaissance missions. It will also position Canada as a global leader in the integration of small UAVs into non-segregated airspace.
01 Jan 2009
31 Dec 2012
NSERC / Department Of National Defence
Electrical and Computer Engineering
Strategic Research Theme
Information and Communication Technology