Seeing around corners with edge-resolved transient imaging

Joshua Rapp, Charles Saunders, Julián Tachella, John Murray-Bruce, Yoann Altmann, Jean-Yves Tourneret, Stephen McLaughlin, Robin M. A. Dawson, Franco N. C. Wong and Vivek K. Goyal ()
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Joshua Rapp: Boston University
Charles Saunders: Boston University
Julián Tachella: Heriot-Watt University
John Murray-Bruce: Boston University
Yoann Altmann: Heriot-Watt University
Jean-Yves Tourneret: University of Toulouse
Stephen McLaughlin: Heriot-Watt University
Robin M. A. Dawson: Charles Stark Draper Laboratory
Franco N. C. Wong: Massachusetts Institute of Technology
Vivek K. Goyal: Boston University

Nature Communications, 2020, vol. 11, issue 1, 1-10

Abstract: Abstract Non-line-of-sight (NLOS) imaging is a rapidly growing field seeking to form images of objects outside the field of view, with potential applications in autonomous navigation, reconnaissance, and even medical imaging. The critical challenge of NLOS imaging is that diffuse reflections scatter light in all directions, resulting in weak signals and a loss of directional information. To address this problem, we propose a method for seeing around corners that derives angular resolution from vertical edges and longitudinal resolution from the temporal response to a pulsed light source. We introduce an acquisition strategy, scene response model, and reconstruction algorithm that enable the formation of 2.5-dimensional representations—a plan view plus heights—and a 180∘ field of view for large-scale scenes. Our experiments demonstrate accurate reconstructions of hidden rooms up to 3 meters in each dimension despite a small scan aperture (1.5-centimeter radius) and only 45 measurement locations.

Date: 2020
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DOI: 10.1038/s41467-020-19727-4

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