Unsupervised Drones Swarm Characterization Using RF Signals Analysis and Machine Learning Methods.

ABSTRACT: Autonomous unmanned aerial vehicles (UAVs) have attracted increasing academic and industrial attention during the last decade. Using drones have broad benefits in diverse areas, such as civil and military applications, aerial photography and videography, mapping and surveying, agriculture, and disaster management. However, the recent development and innovation in the field of drone (UAV) technology have led to malicious usage of the technology, including the penetration of secure areas (such as airports) and serving terrorist attacks. Autonomous weapon systems might use drone swarms to perform more complex military tasks. Utilizing a large number of drones, simultaneously increases the risk and the reliability of the mission in terms of redundancy, survivability, scalability, and the quali

SUBMITTER: Ashush N 

PROVIDER: S-EPMC9919887 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature