An RFID-Based Position and Orientation Measurement System for Mobile Objects in Intelligent Environments
Abstract
Ambient Intelligence concerns with responsive environments in which applications and services adapt their behavior according to the users needs and changing context. One of the most challenging aspects for many applications in Ambient Intelligence environments is location and orientation of the surrounding objects. This is especially important for effective cooperation among mobile physical objects in such smart environments. In this paper, we propose a robust indoor positioning system that provides 2D positioning and orientation information for mobile objects. The system utilizes low-range passive Radio Frequency Identification (RFID) technology. The proposed system, which consists of RFID carpets and several peripherals for sensor data interpretation, is implemented and tested through extensive experiments. Our results show that the proposed system outperforms similar existing systems in minimizing the average positioning error.