Securing Your Airspace: Detection of Drones Trespassing Protected Areas
Unmanned Aerial Vehicle (UAV) deployment has risen rapidly in recent years. They are now used in a wide range of applications, from critical safety-of-life scenarios like nuclear power plant surveillance to entertainment and hobby applications. While the popularity of drones has grown lately, the as...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/7/2028 |
| _version_ | 1797211997520003072 |
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| author | Alireza Famili Angelos Stavrou Haining Wang Jung-Min (Jerry) Park Ryan Gerdes |
| author_facet | Alireza Famili Angelos Stavrou Haining Wang Jung-Min (Jerry) Park Ryan Gerdes |
| author_sort | Alireza Famili |
| collection | DOAJ |
| description | Unmanned Aerial Vehicle (UAV) deployment has risen rapidly in recent years. They are now used in a wide range of applications, from critical safety-of-life scenarios like nuclear power plant surveillance to entertainment and hobby applications. While the popularity of drones has grown lately, the associated intentional and unintentional security threats require adequate consideration. Thus, there is an urgent need for real-time accurate detection and classification of drones. This article provides an overview of drone detection approaches, highlighting their benefits and limitations. We analyze detection techniques that employ radars, acoustic and optical sensors, and emitted radio frequency (RF) signals. We compare their performance, accuracy, and cost under different operating conditions. We conclude that multi-sensor detection systems offer more compelling results, but further research is required. |
| first_indexed | 2024-04-24T10:35:23Z |
| format | Article |
| id | doaj.art-2ed19e3006b044af9249cfc655c649a4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-24T10:35:23Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2ed19e3006b044af9249cfc655c649a42024-04-12T13:26:01ZengMDPI AGSensors1424-82202024-03-01247202810.3390/s24072028Securing Your Airspace: Detection of Drones Trespassing Protected AreasAlireza Famili0Angelos Stavrou1Haining Wang2Jung-Min (Jerry) Park3Ryan Gerdes4Department of Electrical and Computer Engineering, Virginia Tech, Arlington, VA 22203, USADepartment of Electrical and Computer Engineering, Virginia Tech, Arlington, VA 22203, USADepartment of Electrical and Computer Engineering, Virginia Tech, Arlington, VA 22203, USADepartment of Electrical and Computer Engineering, Virginia Tech, Arlington, VA 22203, USADepartment of Electrical and Computer Engineering, Virginia Tech, Arlington, VA 22203, USAUnmanned Aerial Vehicle (UAV) deployment has risen rapidly in recent years. They are now used in a wide range of applications, from critical safety-of-life scenarios like nuclear power plant surveillance to entertainment and hobby applications. While the popularity of drones has grown lately, the associated intentional and unintentional security threats require adequate consideration. Thus, there is an urgent need for real-time accurate detection and classification of drones. This article provides an overview of drone detection approaches, highlighting their benefits and limitations. We analyze detection techniques that employ radars, acoustic and optical sensors, and emitted radio frequency (RF) signals. We compare their performance, accuracy, and cost under different operating conditions. We conclude that multi-sensor detection systems offer more compelling results, but further research is required.https://www.mdpi.com/1424-8220/24/7/2028drone securitydetectionclassification |
| spellingShingle | Alireza Famili Angelos Stavrou Haining Wang Jung-Min (Jerry) Park Ryan Gerdes Securing Your Airspace: Detection of Drones Trespassing Protected Areas Sensors drone security detection classification |
| title | Securing Your Airspace: Detection of Drones Trespassing Protected Areas |
| title_full | Securing Your Airspace: Detection of Drones Trespassing Protected Areas |
| title_fullStr | Securing Your Airspace: Detection of Drones Trespassing Protected Areas |
| title_full_unstemmed | Securing Your Airspace: Detection of Drones Trespassing Protected Areas |
| title_short | Securing Your Airspace: Detection of Drones Trespassing Protected Areas |
| title_sort | securing your airspace detection of drones trespassing protected areas |
| topic | drone security detection classification |
| url | https://www.mdpi.com/1424-8220/24/7/2028 |
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