Depth Sensing Beyond LiDAR Range

CVPR 2020

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Authors: Kai Zhang, Jiaxin Xie, Noah Snavely, Qifeng Chen Description: Depth sensing is a critical component of autonomous driving technologies, but today’s LiDAR- or stereo camera– based solutions have limited range. We seek to increase the maximum range of self-driving vehicles’ depth perception modules for the sake of better safety. To that end, we propose a novel three-camera system that utilizes small field of view cameras. Our system, along with our novel algorithm for computing metric depth, does not require full pre-calibration and can output dense depth maps with practically acceptable accuracy for scenes and objects at long distances not well covered by most commercial LiDARs.

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