Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:technology
computer vision technique simultaneous localization and mapping method |
| gptkbp:alternativeTo |
LIDAR-based SLAM
wheel odometry |
| gptkbp:application |
AR headsets
mobile robotics indoor mapping drone navigation SLAM for smartphones |
| gptkbp:canBe |
multi-camera
stereo RGB-D monocular |
| gptkbp:developedBy |
early 2000s
|
| https://www.w3.org/2000/01/rdf-schema#label |
Visual SLAM
|
| gptkbp:input |
camera images
video streams |
| gptkbp:limitation |
scale ambiguity in monocular setup
sensitive to lighting changes sensitive to motion blur |
| gptkbp:notableFor |
gptkb:ORB-SLAM
gptkb:DSO gptkb:LSD-SLAM gptkb:RTAB-Map PTAM |
| gptkbp:output |
3D map
camera pose |
| gptkbp:relatedTo |
gptkb:SLAM
RGB-D SLAM feature extraction loop closure monocular SLAM pose estimation stereo SLAM feature matching bundle adjustment map optimization |
| gptkbp:requires |
calibrated camera
sufficient texture in environment |
| gptkbp:usedIn |
augmented reality
autonomous vehicles robotics virtual reality |
| gptkbp:uses |
direct methods
deep learning methods pose graph optimization feature-based methods keyframe selection |
| gptkbp:bfsParent |
gptkb:Graph-based_SLAM
|
| gptkbp:bfsLayer |
8
|