Metric for the Fusion of Synthetic and Real Imagery from Multimodal Sensors
Rami Nahas1 & S. P. Kozaitis2 Show affiliations
- University of Business and Technology, Saudi Arabia
- Florida Institute of Technology, United States
American Journal of Engineering and Applied Sciences, Volume 7, Issue 4, pp. 355–362 · doi.org/10.3844/ajeassp.2014.355.362
Abstract
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.
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Nahas, R. & Kozaitis, S. P. (2014). Metric for the Fusion of Synthetic and Real Imagery from Multimodal Sensors. American Journal of Engineering and Applied Sciences, 7(4), 355–362. https://doi.org/10.3844/ajeassp.2014.355.362
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