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What is: DROID-SLAM?

SourceDROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

DROID-SLAM is a deep learning based SLAM system. It consists of recurrent iterative updates of camera pose and pixelwise depth through a Dense Bundle Adjustment layer. This layer leverages geometric constraints, improves accuracy and robustness, and enables a monocular system to handle stereo or RGB-D input without retraining. It builds a dense 3D map of the environment while simultaneously localizing the camera within the map.