Sensor integration refers to the process of combining data from multiple sensors to produce a more accurate and comprehensive understanding of an environment or system. This technique is crucial for improving the performance of applications like augmented and virtual reality, where precise tracking and interaction with virtual elements rely on the seamless fusion of data from different sources, such as inertial measurement units (IMUs) and other sensors.
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