Research on Convolutional Neural Networks in the task of Object Detection in Space Docking Images
Presented research on detection of visual landmarks on images obtained during space docking. Initially, images were obtained in difficult conditions by an analog camera, followed by digitization, images have low quality. After training on database of images of the docking process obtained from open sources the selected network achieves mAP up to 85.1%, which is better than previously studied approaches.