top of page

Towards Robust Lidar-based 3D Detection and Tracking of UAVs

In this research, we study the robustness of lidar-based 3D detection and tracking of UAVs. We investigate the effective detection ranges of different UAVs based on their construction materials and the effective range and 3D detection performance of a specific UAV at different atmospheric visibility conditions. Further, we examine to what extent lidar-based systems can track a drone’s trajectories via real-world experiments and point cloud data processing. Using a COTS lidar-based system (Livox Mid-40), we confirm that we can track UAVs fine-grained at up to 80m distance under various environmental conditions (i.e., morning, afternoon, and night).

a.jpg
b.jpg
e.jpg
d.jpg

Researcher

Prof. Richard Han, Dr. Phuc Nguyen, Dr. Endrowedness Kuantama, Tasnim Azad Abir

Our Partners

The University of Texas at Arlington

MQ drone lab logo

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

bottom of page