A dataset for multi-sensor drone detection is a study that proposes a common public benchmark for an annotated multi-sensor database for drone detection that includes infrared and visible videos, as well as audio files.

The database includes flying objects that can be mistaken for drones, such as birds, airplanes, or helicopters, as well as three different drones:

Publication Date- October 27, 2021

A dataset for multi-sensor drone detection contains the following major sections:

  • Data Description
  • Experimental Design, Materials and Methods

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Authors- Fredrik Svanström, Fernando Alonso-Fernandez, and Cristofer Englund

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