Research Article Open Access

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

Rami Nahas1 and S. P. Kozaitis2
  • 1 University of Business and Technology, Saudi Arabia
  • 2 , USA
American Journal of Engineering and Applied Sciences
Volume 7 No. 4, 2014, 355-362

DOI: https://doi.org/10.3844/ajeassp.2014.355.362

Submitted On: 20 November 2014 Published On: 30 December 2014

How to Cite: 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

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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Keywords

  • Image Fusion
  • Night Vision
  • Augmented Reality
  • Thermal Imagery