{"title":"Advances in UAV detection: integrating multi-sensor systems and AI for enhanced accuracy and efficiency","authors":"Vladislav Semenyuk , Ildar Kurmashev , Alberto Lupidi , Dmitriy Alyoshin , Liliya Kurmasheva , Alessandro Cantelli-Forti","doi":"10.1016/j.ijcip.2025.100744","DOIUrl":null,"url":null,"abstract":"<div><div>This review critically examines the progress in unmanned aerial vehicle (UAV) detection and classification technologies from 2020 to the present. It highlights a range of detection methods, including radar, radio frequency (RF), optical, and acoustic sensors, with particular emphasis on the integration of these technologies through advanced sensor fusion techniques. The paper explores the core technologies driving improvements in detection accuracy, range, and reliability, with a special focus on the transformative role of artificial intelligence and machine learning. These innovations have significantly enhanced system performance, enabling more precise and efficient UAV detection. The review concludes with insights into emerging trends and future developments that promise to further refine UAV detection technologies, ensuring greater security and operational reliability.</div></div>","PeriodicalId":49057,"journal":{"name":"International Journal of Critical Infrastructure Protection","volume":"49 ","pages":"Article 100744"},"PeriodicalIF":4.1000,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Critical Infrastructure Protection","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1874548225000058","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This review critically examines the progress in unmanned aerial vehicle (UAV) detection and classification technologies from 2020 to the present. It highlights a range of detection methods, including radar, radio frequency (RF), optical, and acoustic sensors, with particular emphasis on the integration of these technologies through advanced sensor fusion techniques. The paper explores the core technologies driving improvements in detection accuracy, range, and reliability, with a special focus on the transformative role of artificial intelligence and machine learning. These innovations have significantly enhanced system performance, enabling more precise and efficient UAV detection. The review concludes with insights into emerging trends and future developments that promise to further refine UAV detection technologies, ensuring greater security and operational reliability.
期刊介绍:
The International Journal of Critical Infrastructure Protection (IJCIP) was launched in 2008, with the primary aim of publishing scholarly papers of the highest quality in all areas of critical infrastructure protection. Of particular interest are articles that weave science, technology, law and policy to craft sophisticated yet practical solutions for securing assets in the various critical infrastructure sectors. These critical infrastructure sectors include: information technology, telecommunications, energy, banking and finance, transportation systems, chemicals, critical manufacturing, agriculture and food, defense industrial base, public health and health care, national monuments and icons, drinking water and water treatment systems, commercial facilities, dams, emergency services, nuclear reactors, materials and waste, postal and shipping, and government facilities. Protecting and ensuring the continuity of operation of critical infrastructure assets are vital to national security, public health and safety, economic vitality, and societal wellbeing.
The scope of the journal includes, but is not limited to:
1. Analysis of security challenges that are unique or common to the various infrastructure sectors.
2. Identification of core security principles and techniques that can be applied to critical infrastructure protection.
3. Elucidation of the dependencies and interdependencies existing between infrastructure sectors and techniques for mitigating the devastating effects of cascading failures.
4. Creation of sophisticated, yet practical, solutions, for critical infrastructure protection that involve mathematical, scientific and engineering techniques, economic and social science methods, and/or legal and public policy constructs.