Example Concept: Sensor fusion in autonomous navigation involves combining data from multiple sensors such as LiDAR, cameras, GPS, and IMUs to create a comprehensive understanding of the environment. Advanced algorithms, including Kalman filters and particle filters, are used to merge these data streams, improving the reliability and accuracy of navigation systems by compensating for the limitations of individual sensors.