134 citations · 139 across the 2 of their papers we have counts for
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QueensCAMP: an RGB-D dataset for robust Visual SLAM
Hudson M. S. Bruno, Esther L. Colombini, Sidney N. Givigi
Visual Simultaneous Localization and Mapping (VSLAM) is a fundamental technology for robotics applications. While VSLAM research has achieved significant advancements, its robustne…
LIFT-SLAM: a deep-learning feature-based monocular visual SLAM method
Hudson M. S. Bruno, Esther L. Colombini
The Simultaneous Localization and Mapping (SLAM) problem addresses the possibility of a robot to localize itself in an unknown environment and simultaneously build a consistent map…
A comparative evaluation of learned feature descriptors on hybrid monocular visual SLAM methods
Hudson M. S. Bruno, Esther L. Colombini
Classical Visual Simultaneous Localization and Mapping (VSLAM) algorithms can be easily induced to fail when either the robot's motion or the environment is too challenging. The us…