A License Plate Recognition using Neural Network and Autonomous Mobile Robot in Intelligent Parking Lot Management System

In this paper, we developed not only the ROS based autonomous mobile robot (AMR) in order to control the parking lot management (PLM), but also the central control system (CCS) of the PLM through heterogenous wireless network. The AMR is equipped with RBG-D and LIDAR so as to capture the images from the parked cars as well as to execute the SLAM of the AMR. The images are extracted from information of RGB-D taken by the PLM for the license plate recognition (LPR) and the LPR is based on the support vector machine while maneuvering the autonomous management of the parking lot. Through applying the developed autonomous mobile robot for PLM and the SVM based LPR to the real intelligent parking lot and analyses of the extracted data, we confirmed the usefulness of the proposed algorithm.