Back sight image cognition based on-vehicle blind area early warning system and method

Abstract

The invention discloses a back sight image cognition based on-vehicle blind area early warning system and a method, wherein the system is composed of cameras (1 and 2) mounted on a rearview mirror to monitor the blind area, a digital signal processor (DSP), a sound prompting device, a power source and a plurality of data cables. The system reads the automobile travelling signal through the data cables, acquires the road surface image of the blind area (4 and 5) by adopting the rearview cameras, the processor processes the image, detects the automobile (3) in the blind area, analyzes the travelling state of the automobile, and realizes the multi-stage tracking for the automobile, when the driver intends to switch lanes, if another automobile in the blind area is not far from the automobile, then the driver is warned by the sound prompting device, so that the danger of collision during switching lanes is avoided. The back sight image cognition based on-vehicle blind area early warning system and the method are applied to the active safety driving, and has the advantages of simple system configuration, low cost, high safety performance, good real-time performance and complex environment adaptability.

Description

technical field [0001] The invention relates to blind spot monitoring technology and lane-cutting early warning technology, belonging to the field of active and safe driving of automobiles, specifically including the acquisition and preprocessing of vehicle rear view images, blind spot vehicle detection and tracking algorithms, and realization of lane-cutting danger warning. Background technique [0002] Driven by social progress and economic development, automobiles are playing an increasingly important role in people's daily lives. Due to the rapid increase in the number of cars, safe driving of cars has become a worldwide problem. For drivers to obtain lane scene and overtaking scene information when changing lanes, drivers currently only rely on observation of rearview mirrors. Due to rearview There is a blind spot in the mirror, which will cause wrong judgments on rear-view vehicles and bring unsafe factors. According to statistics, traffic accidents caused by blind sp...

AI Technical Summary

Problems solved by technology

From the current point of view, although the robustness of the visual sensor in harsh environments (such as heavy rain, heavy fog, etc.) is not high enough, if it is used as a sensor for an assisted driving system, or as the main One of them can fully meet the needs of vehicle active navigation; in the long run, with the improvement of computer image processing capabilities and technology, visual sensors will have a broader application prospect.

[0005] In terms of image processing technology, since the vehicle is not completely driving on the highway with a simple background, there may be non-vehicle obstacles such as railings and green belts in the blind spot image at any time, so simply detecting whether there is a moving object does not Target mode analysis cannot be applied to complex road environments

Moreover, as far as the driver is concerned, if the vehicle is overtaking and accelerates to overtake the vehicle in the adjacent lane, he does not want to hear the alarm mindlessly calling the police.

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