Monocular linear displacement measurement with deep learning
A deep learning based linear displacement measurement method is proposed for machine vision based displacement measurement research.Firstly,the lightweight model YOLOv5s-DSS is used to detect the experimental car.Then,the monocular vision localization model optimized by Allometricl function is used to locate the car.Finally,the linear displacement of the target motion is solved by Euclidean distance according to the start and end point coordinates obtained from the localization.The results show that the relative error of displacement measurement within 3m is less than 2%,which verifies that the proposed method can effectively realize the linear displacement measurement of moving targets.