FPGA implementation of data fusion algorithm for object localization

Data fusion has an important role in today´s life, especially in the smart world where devices are becoming smarter. Smart devices require reliable and different types of sensory data, fusing them to obtain better information regarding their objectives. Different types of sensors are often fused to acquire information which cannot be acquired by a single sensor alone. Sensor fusion is particularly applicable for mobile robots for object detection and navigation. The sensor fusion techniques that have been developed so far for detecting an obstacle are costly and complex. So a new technique is proposed which can detect an obstacle, judge its distance using infrared and ultrasonic sensor with the help of an FPGA. Here we propose a data fusion technique in which central limit theorem is used as fusion algorithm. The hardware implementation has been done on Papilio One board and Arduino IDE has used for sensor interfacing programming. The proposed technique aims to make cost effective, faster and less complex system for sensor fusion.