Sensor Fusion is the process of combining data from multiple sensors to improve the accuracy and reliability of information. By integrating data from different sources, such as cameras, radar, and accelerometers, systems can create a more comprehensive understanding of their environment. This technique is widely used in various applications, including robotics, autonomous vehicles, and smart devices. The main goal of Sensor Fusion is to leverage the strengths of each sensor while compensating for their weaknesses. For example, while a camera can provide detailed visual information, it may struggle in low light. By fusing this data with information from a radar sensor, the system can achieve better performance in diverse conditions.