Image Processing Reference
In-Depth Information
In the screen having wide angle of 190°, the information on steering angle is received using
the CAN signal and driving direction is expressed in a way that it is laid over the corrected
image. If distortion correction is not done precisely, there happens error in driving direction
of vehicle. In addition, inconsistent errors can be occurred in accordance with steering angle.
To solve these problems, this algorithm is very important. Figure 13 shows resulting image
where FOV distortion correction algorithm and steering angle overlay are applied.
FIGURE 13 Screen of overlay in which the steering angle control is applied to the wide-angle
compensation algorithm.
5.2 Surround View Monitoring (SVM) System
This algorithm is indispensable for SVM system of vehicle. This study was started to develop
own SVM system and this algorithm made the SVM technology to complete.
This is a device for safer and more convenient driving as receiving four wide-angle images
from front, rear, left, and right sides of vehicle to check surrounding images in the vehicle dur-
ing driving or parking. SVM system is configured as Figure 14 and Freescale's i.mx6 Processor
was used in this system.
FIGURE 14 Configuration of SVM system.
SVM system gets the wide-angle camera images from four channels in analog signal and
four channel images are digitalized by TW6865 and converted into data for image processing.
Then, using the algorithm suggested in this chapter, the distortion correction is conducted
based on the estimated center of the image. And 3D SVM is configured by texture mapping
four channel images on 3D SVM model ( Figure 15 ) .
FIGURE 15 3D SVM image screen.
6 Conclusion
In recent years, vehicles have used image processing technologies increasingly while black-
box systems for vehicles and AVM systems have been widely used as embedded systems for
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