Lane line detection method and device, terminal equipment and readable storage medium

Abstract

The invention is applicable to the technical field of computer vision and image processing, and provides a lane line detection method and device, terminal equipment and a readable storage medium. Inputting the road image into a trained neural network model for processing, and outputting a detection result of a lane line in the road image of the current scene; wherein the trained neural network model is obtained by training according to sample images in a training set and a semantic segmentation model, and the sample images in the training set comprise collected road images of a plurality of scenes and marked images corresponding to the road images of the plurality of scenes. According to the method and the device, the problems that most of deep learning models used for lane recognition atpresent are relatively large in calculation amount, relatively complex in model and unfavorable for meeting the requirement on real-time performance in an actual application scene of an automatic driving task can be solved.

Description

technical field [0001] The present application belongs to the technical field of computer vision and image processing, and in particular relates to a method, device, terminal equipment and readable storage medium for detecting lane markings. Background technique [0002] With the rapid development of artificial intelligence and the automotive industry, the automatic driving of vehicles (such as fully automatic driverless or semi-automatic assisted driving) plays an important role in the safe driving of vehicles; and lane recognition is an important part of the automatic driving system. The results of lane recognition provide the basis for the control system of automatic driving, and play an irreplaceable role in the fields of automatic parking, anti-collision warning and driverless driving. [0003] In recent years, semantic segmentation models have achieved good performance in lane recognition tasks, but limited by the lack of global information and context information, ord...

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides a method, device, terminal equipment and readable storage medium for detecting lane lines, which can solve the problem that most of the current deep learning models used for lane recognition have a large amount of calculation, and the model is relatively complicated, which is not conducive to automatic driving. The problem of real-time requirements in the actual application scenario of the task

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