Driver lane-change depth warning method for high-speed driving environment

Abstract

The invention discloses a driver lane-change depth warning method for a high-speed driving environment. The driver lane-change depth warning method comprises the steps that rear side images of a vehicle are captured by using a camera, and the captured rear side images of the vehicle are transmitted to a computer; through establishment of a deep learning network for driver lane-change depth warning, an end-to-end mapping between input of images of expressway vehicles of the rear side of the vehicle captured by the camera and output vehicle types is completed; vehicle type identification and recognition frame labeling are completed at the same time by using the deep learning network, and distance of the images of output recognition vehicle types is calculated; and then vehicle operating conditions are determined through a vehicle ECU, if a vehicle type is detected in a 0-100m detection range, a driver is given pre-warning to achieve the driver lane-change depth warning safety in the high-speed driving environment. The driver lane-change depth warning method reduces the error rate of recognition, improves the recognition accuracy, and realizes real-time monitoring; and real-time automatic identification, distance measurement, and the pre-warning of vehicle types at the rear side of the vehicle are realized.

Description

technical field [0001] The invention belongs to the field of automobile safety, and relates to a driver lane change depth early warning safety system for high-speed driving environment. Background technique [0002] To reduce the losses caused by traffic accidents has become a problem that people pay more and more attention to. As an effective means of reducing traffic accidents and accident losses, automobile safety assisted driving technology has been favored by governments of various countries. Automobile safety assisted driving technology has become a research hotspot for scholars and automobile companies in various countries. Some people have proposed such as: ARM-based vehicle lane change video detection system, vehicle lane change monitoring system based on vehicle millimeter wave, etc. But the traditional system is mainly based on eliminating the driver's visual blind spot in the high-speed driving environment. It has mainly gone through the following four stages o...

AI Technical Summary

Problems solved by technology

[0004] The present invention aims at the problem of low target detection and recognition rate caused by the complex background of moving object images in the coverage area of ​​the side and rear doors of the vehicle based on the image processing technology

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