Multi-sensor Fusion Methods for Environment Perception in Smart Homes

Abstract

Currently, smart home technology is a highly popular research field, encompassing the application of advanced sensors and the development of sophisticated algorithms. Among these, multi-sensor fusion stands out as a critical direction, playing a pivotal role in enhancing various aspects of smart home systems by integrating data from multiple sensors for improved environmental perception and decision-making. However, despite its significance, there is a lack of comprehensive review studies summarizing the progress and challenges in this area of multi-sensor fusion within the context of smart home technology.This field lacks the organization and induction of the underlying framework. This article organizes the content of multi-sensor fusion and links it with the smart home to make the basic concepts more vivid. While systematically organizing the relevant concepts, it partially extends the fields of robotics and control and proposes the possibility of combining multi-sensor fusion technology with smart home. By introducing algorithms and concepts to quickly understand the importance of multi-sensor fusion in smart home, the paper provides a basic manual for those who are just starting to study this field or those who are interested in this field.