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Wednesday, October 12 • 11:45 - 12:35
Efficient Visual Avoidance and Control for UAVs with Embedded GPUs - Kabir Mohammed, UASys

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Indoor and outdoor navigation for small UAVs like quadrotors is still far from being a solved problem and most research and demonstration of visual navigation solutions have been conducted on traditional CPU architectures. Due to high computation demands of a full vision-based navigation stack (depth extraction, odometry, mapping, planning and control) a heavy and often power-hungry onboard computer is needed to simultaneously run all the tasks onboard.

For this presentation, we demonstrate a quadrotor UAV equipped with Nvidia's Jetson TX1 embedded GPU compute module and high-speed vision system, running our complete navigation stack onboard, at a tenth of the weight and power consumption. Our compact quadrotor is capable of tight, fast maneuvers and safe GPS-denied indoor hover, with onboard mapping, sense-and-avoid, precision landing and HD streaming.

avatar for Kabir Mohammed

Kabir Mohammed

Co-founder and Technical Lead, UASys
I'm Kabir, a 18 year old student from India. I've worked with various open-source flight-control projects since 2007. I'm currently an active developer for PX4 Pro Autopilot project. I'm currently working on Artemis, my micro-aerial-vehicle research project on making autonomous obstacle... Read More →

Wednesday October 12, 2016 11:45 - 12:35 CEST
Salon 21 Dublin - Level 2