A Perspective Method for A-pillar Blind Area of ​​Automobile Based on Depth Data and Fisheye Image

Abstract

The invention relates to a perspective method for the blind area of ​​an automobile A-pillar based on depth data and a fisheye image, which includes (1), acquiring foreground depth information; (2), performing denoising processing on the foreground depth information, and extracting the head position through the positional relationship The binary image of the real-time calculation of the distance between the driver and the depth camera; (3), collect the fisheye video stream data, and correct the radial error and the cutting edge of each frame of the collected fisheye video stream data based on the spherical model. The spherical image is generated after the direction error and the optical center error; (4), the distance of head movement detected by the depth camera constitutes the world coordinate system with the depth camera as the coordinate center; (5), the head x, y, z will be obtained The coordinates are used as the center of the spherical image, z is the focal length of the spherical image, and perspective images of different viewing angles are generated; (6) Real-time detection of whether the driver's head movement exceeds the preset range, and if it exceeds, an alarm will be issued through the alarm module .

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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