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Neural networks in the pursuit of invincible counterdrone systems

January 1, 2022 by Jaakko Marin, Karel Pärlin, Micael Bernhardt and Taneli Riihonen

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The growing range of possibilities provided by the proliferation of commercial unmanned aerial vehicles, or drones, raises alarming safety and security threats. The efficient mitigation of these threats depends on authorities having defense systems to counter both accidentally trespassing and maliciously operated drones. To effectively counter such vehicles, defense systems must be able to detect a new drone entering a restricted airspace; locate its position; identify its purpose; and, should the identification procedure mark it as a threat, neutralize it.

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https://ieeexplore.ieee.org/document/9665669

Filed Under: Past Features Tagged With: Artificial neural networks, Autonomous aerial vehicles, Drones, Safety, Security

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About the Magazine

IEEE Potentials Magazine is the publication dedicated to undergraduate and graduate students and young professionals. IEEE Potentials explores career strategies, the latest in research, and important technical developments. Through its articles, it also relates theories to practical applications, highlights technology’s global impact, and generates international forums that foster the sharing of diverse ideas about the profession.

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