Abstract
An around-view monitoring (AVM) system can increase driving safety by giving drivers real-time images of the areas surrounding their vehicles from a bird"s-eye view, and from these, drivers can easily recognize any objects around their vehicles. To implement the AVM system, wide field-of-view (FOV) imaging systems are necessary. This paper suggests the catadioptric system with a hyperbolic truncated reflector. Using the hyperbolic truncated reflector, over 180˚ images can be obtained, and installing the camera at an angle can prevent the camera from being blocked by itself. The image acquisition model of the proposed system was derived based on geometric optics. Using the image acquisition model, the algorithm to convert images into bird’s-eye images was constructed. Bilinear interpolation was applied to the holes that occurred because the original image and reconstructed image did not correspond 1 to 1.
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