Perspective method for vehicle A-column blind zone based on depth data and fisheye images

Abstract

The method relates to a perspective method for a vehicle A-column blind zone based on depth data and fisheye images. The perspective method comprises the following steps: (1) acquiring front view depth information; (2) denoising the front view depth information, extracting a binary image of the head position through the position relation, and calculating the distance between a driver and a depth camera in real time; (3) collecting fisheye video stream data, sequentially rectifying the radial error, the tangential error and the optic center error of each frame of images of the collected fisheye video stream data based on a spherical model to generate a spherical image; (4) creating the world coordinate system which takes the depth camera as the coordinate center by utilizing the distance, by which the head moves, detected the depth camera; (5) generating perspective images with different viewing angles by taking the obtained x, y and z coordinates of the head as the spherical center of the spherical image, wherein z refers to the focal distance of the spherical image; and (6) detecting whether the head of the driver exceeds the preset range in real time, and an alarm module giving out an alarm if the head of the driver exceeds the preset range.

Description

technical field [0001] The invention belongs to the field of automobile safety, and in particular relates to an automobile A-pillar blind area perspective method based on depth data and fish-eye images. Background technique [0002] As we all know, cars have A-pillars, B-pillars and C-pillars. Drivers are often disturbed by the A-pillar blind zone while driving. [0003] The car blind spot perspective system has a certain research foundation in China. Hangzhou Hongquan Digital Equipment Co., Ltd. designed the Hongquan blind spot monitoring system. Volkswagen and FAW have also conducted related research, but the systems they designed have the following common problems: [0004] 1. Most systems install a fixed camera on the car. When the human body moves, only a fixed picture can be seen, which lacks a sense of reality; [0005] 2. When the human body moves away from or approaches the camera, the picture presented by the camera does not change; [0006] 3. For human body m...

AI Technical Summary

Problems solved by technology

[0004] 1. Most systems install a fixed camera on the car. When the human body moves, only a fixed picture can be seen, which lacks a sense of reality;

[0005] 2. When the human body moves away from or approaches the camera, the picture presented by the camera does not change;

[0006] 3. For human body movement, there is a lack of depth information; from the driver's perspective, the viewing angle is relatively small

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