Metric for the Fusion of Synthetic and Real Imagery from Multimodal Sensors

We described a method to improve night vision for vehicle navigation that combined images from a thermal infrared camera and from a public database of stored images. Such an approach allows a night scene to appear as if it were daytime for automotive applications thereby increasing safety. We described a new metric to evaluate the fusion of such an augmented reality system and compared leading fusion algorithms to determine the efficacy of our approach.