Towards Robust Lidar-based 3D Detection and Tracking of UAVs is a research paper by Tasnim Azad Abir, Endrowednes Kuantama, Richard Han, Judith Dawes, Rich Mildren, and Phuc Nguyen.

This paper explores the robustness of lidar-based 3D detection and tracking of Unmanned Aerial Vehicles (UAVs). The authors investigate the effective detection ranges of different UAVs based on their construction materials and assess the 3D detection performance of a specific UAV across various atmospheric visibility conditions. Additionally, the paper investigates the capability of lidar-based systems to track drone trajectories through real-world experiments and point cloud data processing.

Using a Commercial Off-The-Shelf (COTS) lidar-based system (Livox Mid-40), the authors validate the ability to precisely track UAVs at distances of up to 80 meters under diverse environmental conditions, including morning, afternoon, and night scenarios.

Publication Date– 2023

Towards Robust Lidar-based 3D Detection and Tracking of UAVs contains the following major sections:

  • Introduction
  • Fundamentals of Lidar Detection and Related Work
  • Range Estimation Analysis
  • Visibility Robustness of Lidar
  • 3D UAV Tracking
  • Conclusion and Future Work

This paper is available via Creative Commons by 4.0 Deed. No changes were made to this work. For additional information, please visit CC by 4.0 Deed.

There are no noted distribution limitations of this document. C-UAS Hub does not own this content and provides a link for users at the bottom of the page to access it in its original location. This allows the author(s) to track important article metrics related to their work. All credit goes to its rightful owner.

Post Image Credit- Adobe Stock by Bryan Kelly