, and shipment inspection. These drones often struggle when it comes to adaptive control and tracking trajectories. To overcome these limitations, the researchers from the University of Zurich decided to make a platform that uses multiple software and hardware tools to enhance a quadrotor's agility.
Under their platform Agilicious, they employed advanced onboard vision sensors, flight monitoring systems, and various other components that eventually improved the drones' real-time perception, trajectory tracking, and flight planning skills. Moreover, the platform also features NVIDIA Jetson TX2, a powerful and energy-saving AI module that performs complex computational tasks to support its hardware functions.
The researchers then conducted various experiments to test the platform’s impact on the UAV’s performance. Surprisingly, even at high speeds ranging between 30 to 43 mph , the autonomous drones with Agilicious were able to perform motion-capture trajectory tracking. Later, the platform was also tested for virtual reality simulations.
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