Active safety type assistant driving method based on stereoscopic vision

Abstract

The invention discloses an active safety type assistant driving method based on stereoscopic vision. An active safety type assistant driving system comprehensively utilizes an OME information technology, consists of a stereoscopic vision subsystem, an image immediate processing subsystem and a safety assistant driving subsystem and comprises two sets of high resolution CCD (charge-coupled device) cameras, an ambient light sensor, a two-channel video collecting card, a synchronous controller, a data transmission circuit, a power supply circuit, an image immediate processing algorithms library, a voice reminding module, a screen display module and an active safety type driving control module. According to the active safety type assistant driving method, separation lines and parameters such as relative distance, relative speed, the relative acceleration and the like of dangerous objects such as front vehicles, front bicycles, front pedestrians and the like can be accurately identified in real time in sunny days, cloudy days, at nigh and under the severe weather conditions such as rain with snow, dense fog and the like, so that the system can prompt a driver to adopt countermeasure through voice and can realize automatic deceleration and emergency brake at emergency situation, thereby ensuring safe travel in a whole day.

Description

technical field [0001] The invention belongs to the field of automobile auxiliary driving and relates to an active safety auxiliary driving method based on stereo vision technology. The active safety assisted driving system comprehensively utilizes opto-mechanical and electrical information technology, and is composed of a stereo vision subsystem, an image fast processing subsystem and a safety assisted driving subsystem, including two high-resolution CCD cameras, an ambient light sensor, and a dual-channel video acquisition system. Card, synchronous controller, data transmission circuit, power supply circuit, image fast processing algorithm library, voice reminder module, screen display module and active safety driving control module, etc. In a sunny day with sufficient light, during the driving process of the vehicle, the present invention obtains the visible light image of the target in the driving direction through the binocular stereo camera system. The image enhancement...

AI Technical Summary

Problems solved by technology

The second is physiological factors. Night is the time when the driver’s physiological condition is the worst. He is prone to fatigue, vision loss, inaccurate judgment of speed and distance, and inattention.

In addition, because the landscape on both sides of the road cannot be seen, the excitatory stimuli to the driver are small, and it is most likely to cause driving fatigue. A little carelessness of the driver will lead to serious traffic accidents.

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