Open AccessA Survey of Strategies, and Procedures for Detecting Drone Utilizing Sound, Radar, Thermal Infrared Sensor and Video Applications
Author(s) -
Hassan Aldawsari
Publication year - 2021
Publication title -
jisr on computing/journal of independent studies and research computing
Language(s) - English
Resource type - Journals
eISSN - 2412-0448
pISSN - 1998-4154
DOI - 10.31645/jisrc.21.19.1.6
Subject(s) - drone , radar , computer science , field (mathematics) , thermal infrared , ranging , computer security , radar systems , modalities , artificial intelligence , real time computing , computer vision , remote sensing , infrared , telecommunications , geography , genetics , physics , mathematics , pure mathematics , optics , biology , social science , sociology
With the exponential rise in the use of drones anywhere anytime, malicious use by outlaws is increasing as well. This calls for protective, detective, preventive measures to counter these attacks. This paper aims to review literature on drone detection and classification that utilizes a myriad of modalities ranging from using thermal infrared sensors to radar detections. In addition, there is a summary of a detailed discussion on drone classification along with recent progress and development in drone detection using machine learning, all of which is performed in an attempt to identify means to thwart such attacks. Furthermore, some future research directions, related to this new field of study, are discussed.