Self-Supervised Depth Estimation from Gated Images

Princeton’s Computational Imaging Lab has released a paper about ‘Self-Supervised Depth Estimation from Gated Images’, a new method for generating highly detailed depth maps from a gated camera. These cameras hold promise as an alternative to scanning LiDAR sensors. Instead of sequentially scanning a scene and directly recording depth via the photon time-of-flight (as in pulsed LiDAR sensors) gated imagers encode depth in the relative intensity of a handful of gated slices, captured at megapixel resolution.

Image: Princeton University
Princeton University
https://light.princeton.edu/publication/gated2gated/

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