A Research on Automated Guided Vehicle Indoor Localization System Via CSI

Obviously, we cannot deny the important role that the Automated Guided Vehicles (AGV) play in warehouse and logistic industry nowadays. Managing and monitoring the AGV system became more and more important for every company. However, so far, most of its precise navigating systems have been based on optical solution such as laser triangulation, image processing, line-follower, QR code scanner, etc. which is only suitable for a dust-free environment, not likely to cement warehouse, etc. In this paper we would like to inform a nonoptical based method to localize AGVs in the indoor environment via Channel State Information (CSI), which could be effortlessly extracted from normal wireless card in every WiFi interface. Although these technique was quite well-received by telecommunication fields, very few of those made use on real AGV application. We prefer using CSI to applying Received Signal Strength Indicator (RSSI) because of its robust accuracy in the indoor environment which had been tested in our first paper. And finally, we also try to optimize the data collection through an API server application so that we can put forward to deep learning techniques to train the system more accuracy.