Towards robust lidar-based 3D detection and tracking of UAVs

Tasnim Azad Abir, Endrowednes Kuantama, Richard Han, Judith Dawes, Rich Mildren, Phuc Nguyen

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)
7 Downloads (Pure)

Abstract

In this paper, we study the robustness of lidar-based 3D detection & tracking of UAVs. We investigate the effective detection ranges of different UAVs based on their construction materials and the effective range & 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 in a fine-grained manner at up to 80m distance under various environmental conditions (i.e., morning, afternoon, and night).

Original languageEnglish
Title of host publicationDroNet IX
Subtitle of host publicationproceedings of the DroNet IX Workshop 9th ACMWorkshop on Micro Aerial Vehicle Networks, Systems, and Applications
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages1-7
Number of pages7
ISBN (Electronic)9798400702105
DOIs
Publication statusPublished - 2023
Event9th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications, DroNet 2023 - Helsinki, Finland
Duration: 18 Jun 202318 Jun 2023

Conference

Conference9th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications, DroNet 2023
Country/TerritoryFinland
CityHelsinki
Period18/06/2318/06/23

Bibliographical note

Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Lidar-based detection
  • UAV detection and tracking
  • Target reflectivity
  • Light robustness

Fingerprint

Dive into the research topics of 'Towards robust lidar-based 3D detection and tracking of UAVs'. Together they form a unique fingerprint.

Cite this