Virtual top-view camera calibration for accurate object representation
Simple perspective transforms are used in Advanced Driver Assistance Systems (ADAS) in vehicles for converting captured images of lateral, front, and rear views into a synthesized top-view image, which displays the scene as viewed from above the vehicle. These transforms, however, are typically derived using a basic calibration procedure that is only capable of correctly mapping ground-plane points in captured images to their corresponding locations in the top-view image, and any off-the-ground points look distorted. We present a new method, which uses four orthogonally-placed fisheye cameras, for calibrating a top-view image, in which objects and off-the-ground points are accurately represented.