Vehicle intelligent method for automatically identifying road pit or obstruction

Abstract

A vehicle intelligent method for automatically identifying road speed-limit sign in the technical field of information processing includes the following steps: step one, two pinhole cameras are respectively installed at the edge of the inner side of the vehicle front far-sight lamp; step two, the two pinhole cameras collect road surface scene images in real time, and the collected images are respectively transported to a signal processor; step three, the images are processed by eliminating image distortion; step four, aiming at corner points that already found out, the mutual matching of corner points is automatically realized in left and right views under the instruction of epipolar constraint; step five, the three-dimensional coordinate figure of object point is ensured; step six, pit or obstruction is identified; step seven, the vehicle driving is controlled; step eight, a cyclic process is carried out by repeating step two to step seven. The invention can further improve automatization and intelligentialization level on the aspect of guaranteeing the safety of vehicle driving without vehicle damages or traffic accidents due to pit or obstruction appearing on the road.

Description

technical field [0001] The invention relates to a method in the technical field of vehicle intelligence, in particular to a vehicle intelligence method for automatically identifying road pits and obstacles. Background technique [0002] As we all know, deep potholes and obstacles on the road often lead to major traffic accidents of fast-moving vehicles. With the rapid development of traffic and the rapid growth of car ownership, if vehicles do not have the technical function of intelligently identifying deep pits and obstacles, traffic accidents caused by sudden deep pits or obstacles on the road surface will inevitably appear obvious. rising trend. [0003] How to enable the vehicle to have the technical function of automatically detecting and judging the deep pits and obstacles on the road ahead? At present, many experts have carried out a lot of research work on this kind of technology, but the existing research work is basically still in the Theoretical discussion cann...

AI Technical Summary

Problems solved by technology

[0005] However, the technical method described in this article has obvious deficiencies: (1) it must rely on taking 100 color stereo images for a period of time to form a video sequence, the image collection samples are too large, and the processor has a large amount of calculation; (2) Although each recognition operation cycle only "needs 12s on average", which is much less than other previous algorithms "75s on average", however, such a recognition operation cycle has almost no practical value for vehicles driving on the highway ;(3) It does not have the detection function for deep pits; (4) It does not have the ranging function for obstacles or deep pits, so it cannot implement effective deceleration control on vehicle speed

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