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Marker Detection Test

Computer vision based on the YOLOv5 algorithm and depth-sensing camera to detect markers.

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Control System and wind test

The drone control system ability to stand out from the wind and achieve good flight stability.

Drone stability test

Stability Test with PID

The basic control system is used to increase the drone's performance. 

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Drone camera detection

Double click the dataset icon to add your own content.

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Autonomous Drone based on Jetson 

Communication between the flight controller and Jetson as a Master and Slave.

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Pilot Training

Learn how to fly the drone in our indoor flight facility.

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Autonomous Flight Test

Double click the dataset icon to add your own content.

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Drone Camera Visual Disruption

The system can detect the drone, identify the camera, and disrupt it with laser.

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About Us

The Macquarie Drone Lab is an interdisciplinary research group with leading-edge autonomous drone systems and applications. Currently based at Macquarie University Sydney, our team consists of diverse researchers and students with the determination to advance the capabilities of novel drone applications and flight control systems.

DRONE 

G33, 50 Waterloo Road, Macquarie Park,

NSW 2113, Sydney - Australia

@2022 Macquarie University

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