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DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
Zachary Teed
,
Jia Deng
Computer Science
Center for Statistics & Machine Learning
Princeton Language and Intelligence (PLI)
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
513
Scopus citations
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Dive into the research topics of 'DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras'. Together they form a unique fingerprint.
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Computer Science
Catastrophic Failure
100%
Deep Learning
100%
Open Source Code
100%
Keyphrases
Monocular Stereo
100%
Monocular Video
50%
Visual SLAM
100%