Fault Target Detection Model for Manned Spacecraft Rendezvous and Docking Light
In order to achieve rapid and accurate identification of rendezvous and docking light faults during comprehensive testing of manned spacecraft,a fault target detection model for ren-dezvous and docking light using improved YOLO v8 model and attention mechanism is proposed.Based on the improved YOLO v8 model,the new model proposed introduces an attention mecha-nism module into the strengthened feature network to pay more attention to faulty targets and improve the recognition accuracy for tense small targets.At the same time,simulation experi-ments are conducted on a self-made dataset,and the results show that the model proposed has an average accuracy of 0.91,which can effectively identify the partial fault targets of light and can provide a new way for intelligent inspection of rendezvous and docking light during manned space-craft comprehensive testing.
manned spacecraftrendezvous and docking lightfault target detectionYOLO v8 modelattention mechanism
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