Metric for the Fusion of Synthetic and Real Imagery from Multimodal Sensors
Rami Nahas and S. P. Kozaitis
DOI : 10.3844/ajeassp.2014.355.362
American Journal of Engineering and Applied Sciences
Volume 7, Issue 4
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.
© 2014 Rami Nahas and S. P. Kozaitis. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.