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Lane departure early warning method based on driving habits

A technology for lane departure warning and driving habits, applied in instruments, control devices, calculations, etc., can solve the problem of not considering the driver's subjective factors, and achieve the effect of reducing the probability of danger and guaranteeing life safety.

Active Publication Date: 2021-09-28
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this process, the judgment is only made based on the lateral distance, without considering the subjective factors of the driver

Method used

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Embodiment Construction

[0036]The present invention will be further described below. It should be noted that this embodiment is based on the technical solution and provides detailed implementation and specific operation process, but the protection scope of the present invention is not limited to this embodiment.

[0037] This embodiment provides a lane departure warning method based on driving habits, the specific process is:

[0038] S1. Binary image acquisition and preprocessing.

[0039] The method of this embodiment uses a monocular camera as a sensor for environment perception, and sequentially performs distortion correction, size cropping, grayscale processing, and edge detection on images collected by the monocular camera.

[0040] Among them, edge detection, as a step of image preprocessing, plays an important role in the effect of subsequent lane line detection. Currently, there are many edge detection operators to extract edge features, but the extracted edge features are different. This ...

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Abstract

The invention discloses a lane departure early warning method based on driving habits, which is characterized in that environmental awareness is carried out under a monocular vision sensor; a lane departure early warning algorithm is based on a driving habit statistical model; and the statistical model takes driving habit statistics of a driver as a core; according to the statistical model, adaptive early warning can be carried out on the vehicle deviating from a lane; dangerous situations are graded, more situation judgment is provided for a driver, and the probability that the vehicle is dangerous due to lane deviation can be reduced. The method can be applied to an automobile auxiliary driving system such as a lane departure early warning system, certain help is provided for reducing traffic accidents, and a guarantee is provided for life safety of people.

Description

technical field [0001] The invention relates to the technical field of automobile assisted driving, in particular to a lane departure warning method based on driving habits. Background technique [0002] The occurrence of traffic accidents is mostly caused by the vehicle deviating from its own lane during driving. The existing lane departure warning algorithm is based on the combination of Hough transform and Kalman filter. Lane lines are detected by using Hough transform, and then combined with Kalman filter to predict lane lines and track lane lines. Departure warnings are issued based on lateral distance. In this process, the judgment is only made based on the lateral distance, without considering the subjective factors of the driver. Considering that drivers have different perceptions of dangerous situations due to their different driving habits, a lane departure warning algorithm based on driving habits is needed. Contents of the invention [0003] Aiming at the de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46B60W50/14
CPCB60W50/14B60W2050/143Y02T10/40
Inventor 张晋东潘东育王雪
Owner JILIN UNIV