SID-SLAM: Semi-Direct Information-Driven RGB-D SLAM
Author:
Affiliation:
1. School of Engineering, University of Zaragoza, Zaragoza, Spain
2. German Aerospace Center (DLR), Perception and Cognition Department, Institute of Robotics and Mechatronics, Weßling, Germany
Funder
Deutsches Zentrum für Luft- und Raumfahrt
Spanish Government
Gobierno de Aragón
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/7083369/10220574/10058038.pdf?arnumber=10058038
Reference44 articles.
1. From Points to Planes - Adding Planar Constraints to Monocular SLAM Factor Graphs
2. BundleFusion
3. CPA-SLAM: Consistent plane-model alignment for direct RGB-D SLAM
4. A benchmark for the evaluation of RGB-D SLAM systems
5. Semi-direct tracking and mapping with RGB-D camera for MAV
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1. Underwater multi-sensor fusion localization with visual-inertial-depth using hybrid residuals and efficient loop closing;Measurement;2024-10
2. Optimize data association of point cloud to improve the quality of mapping and positioning;Industrial Robot: the international journal of robotics research and application;2024-09-05
3. MS‐SLAM: Memory‐Efficient Visual SLAM With Sliding Window Map Sparsification;Journal of Field Robotics;2024-09-04
4. DAC: Detector-Agnostic Spatial Covariances for Deep Local Features;2024 International Conference on 3D Vision (3DV);2024-03-18
5. Real-Time SLAM Based on Dynamic Feature Point Elimination in Dynamic Environment;IEEE Access;2023
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