Design of Airport Obstacle-Free Zone Monitoring UAV System Based on Computer Vision
In recent years, a rising number of incidents between Unmanned Aerial Vehicles (UAVs) and planes have been reported at airports and airfields. A design scheme for an airport obstacle-free zone monitoring UAV system based on computer vision is proposed. The system integrates the functions of identifi...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-04-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/9/2475 |
| _version_ | 1797569480890515456 |
|---|---|
| author | Liang Wang Jianliang Ai Li Zhang Zhenlin Xing |
| author_facet | Liang Wang Jianliang Ai Li Zhang Zhenlin Xing |
| author_sort | Liang Wang |
| collection | DOAJ |
| description | In recent years, a rising number of incidents between Unmanned Aerial Vehicles (UAVs) and planes have been reported at airports and airfields. A design scheme for an airport obstacle-free zone monitoring UAV system based on computer vision is proposed. The system integrates the functions of identification, tracking, and expelling and is mainly used for low-cost control of balloon airborne objects and small aircrafts. First, a quadcopter dynamic model and 2-Degrees of Freedom (2-DOF) Pan/Tilt/Zoom (PTZ) model are analyzed, and an attitude back-stepping controller based on disturbance compensation is designed. Second, a low and slow small-target self-identification and tracking technology is constructed against a complex environment. Based on the You Only Look Once (YOLO) and Kernel Correlation Filter (KCF) algorithms, an autonomous target recognition and high-speed tracking plan with great robustness and high reliability is designed. Third, a PTZ controller and automatic aiming strategy based on Anti-Windup Proportional Integral Derivative (PID) algorithm is designed, and a simplified, automatic-aiming expelling device, the environmentally friendly gel ball blaster, which features high speed and high accuracy, is built. The feasibility and stability of the project can be verified through prototype experiments. |
| first_indexed | 2024-03-10T20:12:15Z |
| format | Article |
| id | doaj.art-43a2641057b744b3a404bda7ac0b0c23 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T20:12:15Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-43a2641057b744b3a404bda7ac0b0c232023-11-19T22:50:47ZengMDPI AGSensors1424-82202020-04-01209247510.3390/s20092475Design of Airport Obstacle-Free Zone Monitoring UAV System Based on Computer VisionLiang Wang0Jianliang Ai1Li Zhang2Zhenlin Xing3Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, ChinaDepartment of Aeronautics and Astronautics, Fudan University, Shanghai 200433, ChinaDepartment of Aeronautics and Astronautics, Fudan University, Shanghai 200433, ChinaDepartment of Aeronautics and Astronautics, Fudan University, Shanghai 200433, ChinaIn recent years, a rising number of incidents between Unmanned Aerial Vehicles (UAVs) and planes have been reported at airports and airfields. A design scheme for an airport obstacle-free zone monitoring UAV system based on computer vision is proposed. The system integrates the functions of identification, tracking, and expelling and is mainly used for low-cost control of balloon airborne objects and small aircrafts. First, a quadcopter dynamic model and 2-Degrees of Freedom (2-DOF) Pan/Tilt/Zoom (PTZ) model are analyzed, and an attitude back-stepping controller based on disturbance compensation is designed. Second, a low and slow small-target self-identification and tracking technology is constructed against a complex environment. Based on the You Only Look Once (YOLO) and Kernel Correlation Filter (KCF) algorithms, an autonomous target recognition and high-speed tracking plan with great robustness and high reliability is designed. Third, a PTZ controller and automatic aiming strategy based on Anti-Windup Proportional Integral Derivative (PID) algorithm is designed, and a simplified, automatic-aiming expelling device, the environmentally friendly gel ball blaster, which features high speed and high accuracy, is built. The feasibility and stability of the project can be verified through prototype experiments.https://www.mdpi.com/1424-8220/20/9/2475quadcoptercomputer visionimage processingtarget identificationtrajectory tracking |
| spellingShingle | Liang Wang Jianliang Ai Li Zhang Zhenlin Xing Design of Airport Obstacle-Free Zone Monitoring UAV System Based on Computer Vision Sensors quadcopter computer vision image processing target identification trajectory tracking |
| title | Design of Airport Obstacle-Free Zone Monitoring UAV System Based on Computer Vision |
| title_full | Design of Airport Obstacle-Free Zone Monitoring UAV System Based on Computer Vision |
| title_fullStr | Design of Airport Obstacle-Free Zone Monitoring UAV System Based on Computer Vision |
| title_full_unstemmed | Design of Airport Obstacle-Free Zone Monitoring UAV System Based on Computer Vision |
| title_short | Design of Airport Obstacle-Free Zone Monitoring UAV System Based on Computer Vision |
| title_sort | design of airport obstacle free zone monitoring uav system based on computer vision |
| topic | quadcopter computer vision image processing target identification trajectory tracking |
| url | https://www.mdpi.com/1424-8220/20/9/2475 |
| work_keys_str_mv | AT liangwang designofairportobstaclefreezonemonitoringuavsystembasedoncomputervision AT jianliangai designofairportobstaclefreezonemonitoringuavsystembasedoncomputervision AT lizhang designofairportobstaclefreezonemonitoringuavsystembasedoncomputervision AT zhenlinxing designofairportobstaclefreezonemonitoringuavsystembasedoncomputervision |