Example Concept: Sensor fusion integrates data from various sensors to enhance the accuracy of object detection. For instance, combining LIDAR's depth perception with a camera's visual data allows a robot to detect objects more accurately in diverse lighting conditions. The fusion process typically involves algorithms like Kalman filters or particle filters to merge sensor inputs, reducing noise and compensating for individual sensor weaknesses.