A method and device for early warning of vehicle departure from lane

Abstract

The invention provides a method and device for early warning lane departure of a vehicle. The method comprises the steps of estimating, wherein current actual lane line information is estimated according to lane line information of the precious frame of a road image; comparing, wherein preset lane line information of the vehicle is acquired, and if a comparing result of the actual lane line information and the preset lane line information does not meet preset conditions, it is judged that the vehicle departs from the lane; early warning, wherein running information of the vehicle is acquired, and if it is judged that the vehicle needs to be early warned according to the running information, an early warning prompt is sent. According to the method and device, detection on the lane line is more accurate, and therefore whether the vehicle departs from the lane or not can be judged more accurately; when the vehicle driven by a driver departs from the lane, the early warning prompt can be given in time, and then traffic accidents are prevented from occurring.

Description

technical field [0001] The invention relates to the field of electronics, in particular to a method and device for early warning of vehicle departure from lane. Background technique [0002] In the prior art, using the camera, vehicle sensing data, current vehicle location information and road map data for lane recognition and detecting whether the vehicle deviates from the lane requires an accurate communication module and accurate road map data, otherwise real-time performance and accuracy Difficult to guarantee. Using dual cameras to detect whether the vehicle has deviated from the lane requires the installation of two cameras, which is cumbersome to install. Merging images from different cameras also increases the difficulty of the processing process and affects the real-time performance of the processed images. [0003] Therefore, it is necessary to improve the above-mentioned defects. Contents of the invention [0004] Based on the above problems, the present inven...

AI Technical Summary

Problems solved by technology

[0002] In the prior art, using the camera, vehicle sensing data, current vehicle location information and road map data for lane recognition and detecting whether the vehicle deviates from the lane requires an accurate communication module and accurate road map data, otherwise real-time performance and accuracy Difficult to guarantee

Using dual cameras to detect whether the vehicle has deviated from the lane requires the installation of two cameras, which is cumbersome to install. Merging images from different cameras also increases the difficulty of the processing process and affects the real-time performance of the processed images.

Images