Threedimensional Parking Slot Detection Using Mapping and Structural Semantics Based on Multiple Timeofflight Cameras

Abstract:

A detection method for threedimensional parking slot was proposed by using multiple timeofflight (ToF) cameras. The local scene of a parking lot was jointly captured and mapped by using multiple ToF observations in real time, and structural semantics such as walls, ceilings, floors and obstacles were segmented in the scene for the detection of parking slots. The detection rate of 94.83% was achieved in the experiment. The precision of detected width and height of parking slots are 14.4 cm and 12.4 cm respectively.