SLAM (Simultaneous Localization and Mapping)
GPTKB entity
Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:technology
|
| gptkbp:application |
augmented reality
drones robot navigation mobile mapping |
| gptkbp:challenge |
computational complexity
data association sensor noise loop closure detection |
| gptkbp:field |
autonomous vehicles
computer vision robotics |
| https://www.w3.org/2000/01/rdf-schema#label |
SLAM (Simultaneous Localization and Mapping)
|
| gptkbp:input |
lidar
sensor data camera images odometry |
| gptkbp:notableFor |
gptkb:FastSLAM
gptkb:GMapping gptkb:ORB-SLAM gptkb:EKF-SLAM cartographer |
| gptkbp:output |
gptkb:topographic_map
location estimate |
| gptkbp:proposedBy |
1986
|
| gptkbp:relatedConcept |
mapping
sensor fusion localization simultaneous mapping structure from motion |
| gptkbp:type |
estimation problem
|
| gptkbp:usedBy |
gptkb:AR_devices
gptkb:UAVs autonomous robots self-driving cars mobile robots |
| gptkbp:uses |
gptkb:Kalman_filter
Bayesian filtering particle filter state estimation data association feature extraction loop closure graph-based optimization |
| gptkbp:variant |
RGB-D SLAM
lidar SLAM monocular SLAM stereo SLAM visual SLAM |
| gptkbp:bfsParent |
gptkb:Particle_filter
|
| gptkbp:bfsLayer |
5
|