Application Research on Anti-Occlusion Target Tracking Strategy Based on IMU and Video Image Information Synthesis in Airborne Electro-Optical Reconnaissance and Aiming System
Target tracking is a core working mode of airborne photoelectric reconnaissance and aiming system, and its performance directly determines the mission efficiency of the airborne system. Aiming at the outstanding problems and technical difficulties in the application of target tracking, according to...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Aero Weaponry
2023-08-01
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| Series: | Hangkong bingqi |
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| Online Access: | https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/1693465761649-598738837.pdf |
| _version_ | 1797693873006313472 |
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| author | Ji Shupeng, Liu Zhiguang, Qu Jifeng, Xu Jianzheng, Li Tonghai |
| author_facet | Ji Shupeng, Liu Zhiguang, Qu Jifeng, Xu Jianzheng, Li Tonghai |
| author_sort | Ji Shupeng, Liu Zhiguang, Qu Jifeng, Xu Jianzheng, Li Tonghai |
| collection | DOAJ |
| description | Target tracking is a core working mode of airborne photoelectric reconnaissance and aiming system, and its performance directly determines the mission efficiency of the airborne system. Aiming at the outstanding problems and technical difficulties in the application of target tracking, according to the multi-sensor configuration and application characteristics of the system, an intelligent target tracking strategy based on inertial measurement and video image information fusion is proposed, which integrates multi-dimensional information such as inertial navigation, motion mea-surement, servo control, geography and image coordinates. Simulation analysis and flight test show that the strategy can effectively improve the anti-jamming performance of target tracking, realize the robust and persistent target tracking in full dynamic complex scenes, and improve the combat ability of reconnaissance and surveillance, target positioning, weapon guidance of the airborne system. |
| first_indexed | 2024-03-12T02:49:53Z |
| format | Article |
| id | doaj.art-0e4ec785a1e74b04be0a228ecbd77b71 |
| institution | Directory Open Access Journal |
| issn | 1673-5048 |
| language | zho |
| last_indexed | 2024-03-12T02:49:53Z |
| publishDate | 2023-08-01 |
| publisher | Editorial Office of Aero Weaponry |
| record_format | Article |
| series | Hangkong bingqi |
| spelling | doaj.art-0e4ec785a1e74b04be0a228ecbd77b712023-09-04T03:14:57ZzhoEditorial Office of Aero WeaponryHangkong bingqi1673-50482023-08-013041910.12132/ISSN.1673-5048.2022.0227Application Research on Anti-Occlusion Target Tracking Strategy Based on IMU and Video Image Information Synthesis in Airborne Electro-Optical Reconnaissance and Aiming SystemJi Shupeng, Liu Zhiguang, Qu Jifeng, Xu Jianzheng, Li Tonghai01. China Airborne Missile Academy, Luoyang 471009, China;2. CAMA (Luoyang) Measurements & Controls Co. Ltd, Luoyang 471009, ChinaTarget tracking is a core working mode of airborne photoelectric reconnaissance and aiming system, and its performance directly determines the mission efficiency of the airborne system. Aiming at the outstanding problems and technical difficulties in the application of target tracking, according to the multi-sensor configuration and application characteristics of the system, an intelligent target tracking strategy based on inertial measurement and video image information fusion is proposed, which integrates multi-dimensional information such as inertial navigation, motion mea-surement, servo control, geography and image coordinates. Simulation analysis and flight test show that the strategy can effectively improve the anti-jamming performance of target tracking, realize the robust and persistent target tracking in full dynamic complex scenes, and improve the combat ability of reconnaissance and surveillance, target positioning, weapon guidance of the airborne system.https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/1693465761649-598738837.pdf|photoelectric reconnaissance and aiming system|information fusion|inertial measurement|video image|deep learning|target tracking|anti-occlusion|intelligent |
| spellingShingle | Ji Shupeng, Liu Zhiguang, Qu Jifeng, Xu Jianzheng, Li Tonghai Application Research on Anti-Occlusion Target Tracking Strategy Based on IMU and Video Image Information Synthesis in Airborne Electro-Optical Reconnaissance and Aiming System Hangkong bingqi |photoelectric reconnaissance and aiming system|information fusion|inertial measurement|video image|deep learning|target tracking|anti-occlusion|intelligent |
| title | Application Research on Anti-Occlusion Target Tracking Strategy Based on IMU and Video Image Information Synthesis in Airborne Electro-Optical Reconnaissance and Aiming System |
| title_full | Application Research on Anti-Occlusion Target Tracking Strategy Based on IMU and Video Image Information Synthesis in Airborne Electro-Optical Reconnaissance and Aiming System |
| title_fullStr | Application Research on Anti-Occlusion Target Tracking Strategy Based on IMU and Video Image Information Synthesis in Airborne Electro-Optical Reconnaissance and Aiming System |
| title_full_unstemmed | Application Research on Anti-Occlusion Target Tracking Strategy Based on IMU and Video Image Information Synthesis in Airborne Electro-Optical Reconnaissance and Aiming System |
| title_short | Application Research on Anti-Occlusion Target Tracking Strategy Based on IMU and Video Image Information Synthesis in Airborne Electro-Optical Reconnaissance and Aiming System |
| title_sort | application research on anti occlusion target tracking strategy based on imu and video image information synthesis in airborne electro optical reconnaissance and aiming system |
| topic | |photoelectric reconnaissance and aiming system|information fusion|inertial measurement|video image|deep learning|target tracking|anti-occlusion|intelligent |
| url | https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/1693465761649-598738837.pdf |
| work_keys_str_mv | AT jishupengliuzhiguangqujifengxujianzhenglitonghai applicationresearchonantiocclusiontargettrackingstrategybasedonimuandvideoimageinformationsynthesisinairborneelectroopticalreconnaissanceandaimingsystem |