U of T’s Angela Schoellig and Tim Barfoot are part of a new collaboration with Drone Delivery Canada and Defence Research and Development Canada that will help drones navigate using digital cameras (photo by Roberta Baker)
“Think of it as Hansel and Gretel with bread crumbs”
A new research partnership between academia, industry and government will enable drones – unmanned aerial vehicles (UAVs) – to safely find the way back to the launch point, even if communication or GPS navigation systems fail.
The technology could greatly expand the use of drones, enabling them to be used over much larger distances in everything from delivery of goods to military reconnaissance. The partnership, which hopes to develop a navigation system that relies on digital photos taken by the drones, is a collaboration between U of T’s Faculty of Applied Science & Engineering, Drone Delivery Canada and Defence Research and Development Canada (DRDC).
“If drones are going to move beyond their current applications, they will need to be able to deal with all kinds of challenging conditions without help from ground-based operators,” says Assistant Professor Angela Schoellig. “Visual navigation provides a way forward, and we are excited to apply our expertise in this field to develop a solution.”
University of Toronto Institute for Aerospace Studies’ Schoellig is leading the team, which also includes Professor Tim Barfoot.
Currently, GPS technology allows drones to navigate without the help of a ground crew. But if this system gets disrupted by bad weather or malfunctioning equipment – and if the drone is beyond the reach of radio communication – the drone could lose control and crash, posing a safety hazard, not to mention the financial cost of lost equipment and cargo.
Federal regulations require that UAVs remain within visual range of their operators. The idea is that if there is a problem, the operator will notice and step in with manual controls to avert a crash.
But in the future, companies like Drone Delivery Canada envision using drones over larger distances, where maintaining visual contact will be impossible.
“In Canada, there are hundreds of remote communities that lack infrastructure, specifically roads, which makes access to goods both very limited and very expensive,” says Tony Di Benedetto, CEO of Drone Delivery Canada. “We are looking at utilizing drones as a logistics vehicle to help our fellow Canadians in these communities.”
Schoellig and her team are proposing to develop the navigation system which relies on digital photos taken by the drones as they fly. If communications or GPS are disrupted, the drone could use those images to find its way back to launch point.
“Think of it as Hansel and Gretel with breadcrumbs,” says Barfoot. “We’re tracing our path on the outbound flight, and then if something goes wrong, we can follow the trail back to where we started.”
Though the concept may seem simple, the execution is not. The system needs to be able to recognize the same scene in different lighting and weather conditions and to account for jostling due to wind. It also needs to be self-contained, executable on a computer small enough to fit on the drone without access to an external network and consume very little power.
The project is funded by a DND/NSERC Research Partnership Grant, with approximately half of the funding contributed by the two external partners, Drone Delivery Canada and DRDC. In total, the partnership will provide more than $450,000 over four years, after which time the team aims to have the first prototypes ready to fly.
“Creating algorithms that can adapt to the very complex conditions of the real world is very challenging, but the potential gains are enormous,” says Schoellig. “It would open up a whole new range of possible applications, not only for our partners but for the entire industry.”
Di Benedetto agrees.
“We see this as a critical component for the evolution of drone technology in Canada,” he says. “We’re doing something completely new.”