CUAS_Literature_DataSet
Published: 20 February 2024| Version 2 | DOI: 10.17632/6jc6w2v5nf.2
Contributor:
Boban Sazdic-JoticDescription
The framework for this Literature_DataSet was adopted from (Alzubaidi et al. 2021), starting from the identification, screening, and selection stages, which included over two hundred (205) research papers in the last five years from publishers such as IEEE, Nature, Springer, ACM, Elsevier, and MDPI. All reviewed papers have tackled the drone classification problem (detection and identification) using RF sensors. Each paper was categorized as a novel approach, survey/review, dataset description, or regulation/standard, with mandatory remarks explaining specific ADRO procedures (e.g., jamming, spoofing, direction finding).
Files
Institutions
Vojnotehnicki institut
Categories
Literature Review, Drone (Aircraft)