Vehicle intelligent back vision method

Abstract

The invention provides a vehicle intelligent rear viewing method in the vehicle intelligent technical field, comprising the following: step one is to acquire a scenery image from the posterior lateral of the vehicle by two needle cameras arranged on a left rear view mirror and a right rear view mirror of the vehicle respectively and a needle camera arranged on a rear deflector door of a vehicle body; step two is to perform a pretreatment to the acquired scenery image; step three is to perform an edge detection for the pretreated image based on a method of mathematical morphology of multi-structural elements; step four is to form a sampling round region and perform a polar-log grid sampling to an edge image occurring in the sampling round region; step five is to perform an image data conversion to the edge image received from the polar-log grid sampling; step six is to perform a recognition of a motion state to the converted image data; and step seven is to perform a decision operation and output an execution command according to the recognition result of the motion state. The vehicle intelligent rear viewing method improves the safety technical level of the vehicle and reduces the occurrence probability of road traffic accidents.

Description

technical field [0001] The invention relates to a method in the technical field of vehicle intelligence, in particular to a vehicle intelligent rear view method. Background technique [0002] When existing vehicles need to change lanes, turn left, or turn right during driving, the driver must rely on the driver to observe and judge the driving conditions of other vehicles in the front and rear to determine whether the vehicle he is driving can perform lane changes or turn left. Turning or turning right, at this time, the vehicle that is changing lanes, turning left, or turning right often collides with the vehicle that is moving forward rapidly because the driver's field of view is blocked or the road conditions are complicated. And cause a traffic accident. In addition, limited by road construction conditions, motor vehicle and non-motor vehicle lanes on many urban roads cannot be separated by barriers such as railings. Opening the door of a motor vehicle when it is tempor...

AI Technical Summary

Problems solved by technology

However, this method cannot be used to avoid collisions with vehicles coming from behind when the vehicle needs to change lanes, turn left, or turn right during driving, nor can it avoid accidentally injuring pedestrians or other vehicles during the door opening process when the motor vehicle is temporarily parked. The occurrence of vehicle accidents is because the above method is only used for active seeking of static and fixed targets, and does not have the function of identifying the movement trend of moving objects. There is a fundamental difference between the algorithms of the two before and after.

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