Simultaneous Localization and Mapping
GPTKB entity
Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
robotics technique
|
| gptkbp:abbreviation |
gptkb:SLAM
|
| gptkbp:application |
augmented reality
autonomous robots self-driving cars drones |
| gptkbp:category |
gptkb:navigation
autonomy mapping perception localization |
| gptkbp:challenge |
computational complexity
data association loop closure sensor noise |
| gptkbp:field |
autonomous vehicles
computer vision robotics |
| https://www.w3.org/2000/01/rdf-schema#label |
Simultaneous Localization and Mapping
|
| gptkbp:inventedBy |
gptkb:Hugh_Durrant-Whyte
gptkb:John_J._Leonard |
| gptkbp:notableFor |
gptkb:FastSLAM
gptkb:ORB-SLAM gptkb:EKF-SLAM gptkb:GraphSLAM |
| gptkbp:output |
gptkb:topographic_map
trajectory landmark positions pose estimate |
| gptkbp:proposedBy |
1986
|
| gptkbp:purpose |
mapping unknown environments
localizing robot position |
| gptkbp:relatedTo |
structure from motion
visual odometry |
| gptkbp:supportsAlgorithm |
gptkb:algorithm
filter-based algorithm graph-based algorithm |
| gptkbp:type |
estimation problem
|
| gptkbp:usedBy |
gptkb:AR_devices
gptkb:UAVs autonomous vehicles industrial robots mobile robots service robots |
| gptkbp:uses |
gptkb:IMU
cameras sensors lidar odometry |
| gptkbp:bfsParent |
gptkb:SLAM
|
| gptkbp:bfsLayer |
5
|