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Semantic localization and mapping (SLAM), monocular depth prediction, and odometry techniques using deep CNNs

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SLAM

Self-supervised learning for long-wave infrared monocular depth estimation and vehicle ego-motion prediction.

Sponsored by UCF's Center for Research in Computer Vision and UCF’s Optics and Photonics Lab (CREOL)

This work leverages and extends the methods described here:

Digging into Self-Supervised Monocular Depth Prediction

Clément Godard, Oisin Mac Aodha, Michael Firman and Gabriel J. Brostow

ICCV 2019

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Semantic localization and mapping (SLAM), monocular depth prediction, and odometry techniques using deep CNNs

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