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 Florida Institute of Technology, United States

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.

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

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Keywords

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