ORB-SLAM3: a Visual, Visual-Inertial and Multi-Map SLAM with monocular, stereo and RGB-D cameras
Автор: Shalik AI
Загружено: 2020-11-16
Просмотров: 24722
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This video is a recreation of the work presented here: • ORB-SLAM3: TUM-VI Stereo-Inertial, room1+m...
ORB-SLAM3 is the first real-time SLAM library able to perform Visual, Visual-Inertial and Multi-Map SLAM with monocular, stereo and RGB-D cameras, using pin-hole and fisheye lens models. In all sensor configurations, ORB-SLAM3 is as robust as the best systems available in the literature, and significantly more accurate.
Examples are provided to run ORB-SLAM3 in the EuRoC dataset using stereo or monocular, with or without IMU, and in the TUM-VI dataset using fisheye stereo or monocular, with or without IMU. Videos of some example executions can be found at ORB-SLAM3 channel.
This software is based on ORB-SLAM2 developed by Raul Mur-Artal, Juan D. Tardos, J. M. M. Montiel and Dorian Galvez-Lopez (DBoW2).
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