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Passive sensing around the corner using spatial coherence.

M Batarseh1, S Sukhov1, Z Shen1

  • 1CREOL, The College of Optics and Photonics, University of Central Florida, Orlando, FL, 32816, USA.

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Summary
This summary is machine-generated.

Scientists used light scattering from a wall to detect objects around corners. This passive method leverages natural light and spatial coherence changes for non-line-of-sight object detection.

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Area of Science:

  • Optics
  • Photonics
  • Computational Imaging

Background:

  • Traditional object detection methods fail when direct vision is obstructed.
  • Existing techniques often require mirrors or active control of illumination properties.
  • Non-line-of-sight (NLOS) sensing remains a significant challenge in various fields.

Purpose of the Study:

  • To investigate the potential of using light scattering from a diffusing surface for non-line-of-sight (NLOS) object detection.
  • To demonstrate a passive sensing approach that relies on natural broadband illumination.
  • To explore the transformation of light's statistical properties for retrieving geometric information of hidden objects.

Main Methods:

  • Experimental demonstration of light reflection from a highly scattering wall.
  • Analysis of the transformation of spatial coherence properties of reflected light.
  • Utilizing changes in light statistics to infer object location and geometry.

Main Results:

  • A highly scattering wall can transfer statistical properties of light.
  • The transformation of spatial coherence during light reflection aids in object detection.
  • Geometric information about objects hidden around a corner can be retrieved.

Conclusions:

  • A novel passive sensing paradigm for non-line-of-sight object detection is presented.
  • The method relies solely on natural illumination and the scattering properties of a wall.
  • This approach offers a new avenue for object localization in obstructed environments.