AI Sensor Fusion is the use of artificial intelligence to combine data from multiple sensors and interpret it as a unified view of an environment or system. Instead of relying on one source, an AI model can correlate inputs such as cameras, radar, lidar, microphones, GPS, or temperature sensors to identify objects, events, movement, or changing conditions more accurately.
This approach is central to autonomous vehicles, robotics, industrial monitoring, drones, and smart infrastructure. For example, an autonomous vehicle can combine camera images with radar and lidar measurements to distinguish vehicles, pedestrians, and obstacles even when visibility is limited.
