Auxiliary vehicle driving method based on image binarization processing

Abstract

The invention provides an auxiliary vehicle driving method based on image binarization processing. The auxiliary vehicle driving method is characterized by comprising the steps of: 1) installing a setof CCD camera on each of the front and rear ends of a vehicle; ...; 4) adjusting a vehicle direction by a driver of the vehicle so that a center line of a road appearing in a display device does notdeviate from a mark line of the display device; 5) and setting half width of the road as RW, half width of the vehicle as VW and an offset distance of field-of-view center lines of the CCD cameras from the center line of the road as L, calculating the offset distance L in a binarized image of the CCD camera at the rear end of the vehicle driving direction in real time, displaying alarm informationin the display device corresponding to the CCD camera at the rear end of the vehicle driving direction when L is greater than or equal to RW-VW, reminding the vehicle driver to reduce speed, and adjusting the vehicle direction so as not to drive beyond the edge of the road. The auxiliary vehicle driving method can assist large-sized or multi-drive vehicle driver in mastering vehicle condition when the driver is in dark or has a visual dead zone, overcomes the complicated working environment interference, and meets the high-precision road driving requirements.

Description

technical field [0001] The invention belongs to the technical field of vehicle straight-line driving assistance methods, and in particular relates to a vehicle driving assistance method based on image binarization processing. Background technique [0002] With the rapid development of the national economy, various projects in our country continue to be constructed, and the number of cars is also increasing. The application of special vehicles in projects is also increasing year by year. When the working environment is relatively dark or the driver has a blind spot, the vehicle's Driving in a straight line mainly depends on the cooperation between the driver and the commander, the risk is concentrated, and it is difficult to complete. In terms of driving assistance, my country also has related research, such as the Chinese invention patent CN102592114B published on July 31, 2013, a lane line extraction method for complex road conditions, which records that the color road imag...

AI Technical Summary

Problems solved by technology

Although this method can quickly and effectively identify and detect lane lines, it also has some shortcomings. For large vehicles with long lengths, such as flatbed vehicles with multiple driving wheels and special vehicles for engineering applications, a single camera located at the front or rear of the vehicle works The method cannot effectively identify the real state of the current vehicle; sometimes this large multi-wheeled flatbed vehicle needs to transport goods for transition, such as the launch of a ship or the release of an airship. When passing through a complex and curved road during the transition, it is prone to flicking and rushing out of the road The problem is that the vehicle volume and goods are damaged; sometimes, due to the increasingly complex construction environment, the lighting conditions on the site cannot be effectively guaranteed, and the image acquisition system under dark conditions is greatly restricted; in addition, in the application of large vehicles, On the one hand, the transmission distance of the data acquisition system is long, there is a delay in the pure electrical signal propagation, and the real-time performance of the processing results is poor. On the other hand, the electromagnetic interference signal in the construction environment may cause interference to the image signal, which greatly affects Data Acquisition and Processing

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