Multi-source autonomous cooperative target detection and intelligent identification method and system

• Main Authors: CHEN PING, HUANG JIBO, DUANMU ZHUYUN, BAI JUNQI, OU LEQING, LI CHANGJUN, LIU WEN, ZHAO CHENLIANG, DING HUI, TANG WENYI
• Format: Patent
• Language: Chinese; English
• Published: 11.08.2023
• Subjects: ANALOGOUS ARRANGEMENTS USING OTHER WAVES; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; GYROSCOPIC INSTRUMENTS; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES; MEASURING; MEASURING DISTANCES, LEVELS OR BEARINGS; NAVIGATION; PHOTOGRAMMETRY OR VIDEOGRAMMETRY; PHYSICS; RADIO DIRECTION-FINDING; RADIO NAVIGATION; SURVEYING; TESTING

The invention discloses a multi-source autonomous cooperative target detection and intelligent identification method, which comprises the following steps: firstly, acquiring track parameters of a target measured by a multi-source sensor, the multi-source sensor comprising a photoelectric sensor and a radar; calculating a target threat level based on the track parameters measured by the radar, and determining a high-risk target set; performing coordinate transformation on track parameters of the high-risk target measured by the radar to obtain a position relation of the high-risk target relative to the photoelectric sensor; the detection position of the photoelectric sensor is adjusted according to the obtained position relation, and high-risk target image information is obtained; high-risk target intelligent detection and identification are carried out based on image information, and the high-risk target is automatically locked for tracking. A photoelectric sensor is guided to detect through a high-risk targe