SOTAVerified

Simultaneous Localization and Mapping

Simultaneous localization and mapping (SLAM) is the task of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.

( Image credit: ORB-SLAM2 )

Papers

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Showing 151–160 of 572 papers

TitleStatusHype
MultiCol-SLAM - A Modular Real-Time Multi-Camera SLAM SystemCode0
Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple ObjectsCode0
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth PredictionCode0
A Scan-to-Locality Map Strategy for 2D LiDAR and RGB-D Data FusionCode0
Monocular LSD-SLAM Integration within AR SystemCode0
MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving ObjectsCode0
LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and MappingCode0
LOAM: Lidar Odometry and Mapping in Real-TimeCode0
ecg2o: A Seamless Extension of g2o for Equality-Constrained Factor Graph OptimizationCode0
Kernel learning for visual perceptionCode0
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