Abstract: Estimating the user's location with a camera requires the establishment of a complex mathematical model because the relationship between 3D scene and a 2D image is non-linear and highly complex. In order to solve this problem,a single camera based on neural network is proposed.The main advantage of the indoor positioning system is that LED can use the visible light communication to send its location information.The proposed method makes full use of LED light projection invariance,and completes the construction of virtual line by means of imaging sensor communication(ISC).Then,neural network estimation is used to extract information from the virtual camera direction lines.Finally,a simple mathematical equation is adopted to estimate the position of the user indoor.Four situations have been considered in the simulation experiments and the results show that the proposed method outperformed state-of-art techniques and its location error is less than 35 mm for most of the space within a room.

Key words: indoor positioning, single camera, neural network estimation, projection invariance, positioning error