Risk Detection of Aircraft Takeoff and Landing Flight Attitude Based on Improved YOLOv8
The take-off and landing stages are among the most critical and challenging moments in the entire flight process,as the degree of attitude change directly impacts the overall aircraft safety.To miti-gate risks during takeoff and landing,a risk detection method based on an improved YOLOv8 flight atti-tude is proposed.This detection method effectively combines deep learning and object detection technolo-gies,including CBAM attention mechanism,GSConv lightweight convolutional module,and HIOU criterion function to achieve precise identification of key structural components such as aircraft wings and landing gear.By utilizing identified flight attitude characteristic parameters,it enables analysis and evaluation of the current safety state of the aircraft.Experimental results demonstrate that this enhanced method accu-rately identifies and detects flight attitude risks during takeoff and landing stages with high reliability.
improved YOLOv8target detectionfeature extractiontakeoff and landing flight attituderisk detection
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