Driving Surround View Assist Device

Abstract

The present invention discloses a driving panoramic auxiliary device applied to a vehicle. The device is mainly composed of a lens group, an image processing module and a display unit, wherein the lens group can photograph a plurality of external images around the vehicle; the image processing module comprises an image joint processing unit capable of jointing the external images into a vehicle external panoramic image, and an image delay processing unit capable of, according to a driving path of the vehicle, dividing the vehicle external panoramic image overlapped with the driving path into a plurality of delay images, and attaching to an underbody image separated by the vehicle external panoramic image in order from the delay image adjacent to the underbody image according to a delay time; and the display unit can display the vehicle external panoramic image via the image delay processing and a fully-transmissive image formed by the underbody image.

Description

technical field [0001] The invention relates to a driving surround view auxiliary device, in particular to a driving surround view assisting device which can see through the bottom of a vehicle to view road conditions. Background technique [0002] In the past, when driving, you could only check whether there were obstacles with the assistance of the interior and exterior rearview mirrors. Because the interior and exterior rearview mirrors had inherent blind spots, their safety was widely criticized. With the improvement of image recognition technology, a multi-lens (usually front lens, rear lens, right lens and left lens) is used to form a top-down panoramic image through image splicing and played on the screen, so that driving can be easily Check the traffic outside the car. [0003] see figure 1 , which is a schematic diagram of the existing driving environment. After the above-mentioned front lens, rear lens, right lens and left lens respectively shoot the image outsi...

AI Technical Summary

Problems solved by technology

[0004] Therefore, the existing technology only still solves the field of vision requirements of the surrounding scenery outside the car, but because the bottom image I of the car processed with black images U , it can’t let the driver see the road conditions under the car clearly, and it will still cause driving accidents such as: wheel falling into the ditch, small animals under the car by mistake, etc. It’s a pity

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