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 241–250 of 572 papers

TitleStatusHype
MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction—0
NeuV-SLAM: Fast Neural Multiresolution Voxel Optimization for RGBD Dense SLAM—0
Simultaneous Calibration and Navigation (SCAN) of Multiple Ultrasonic Local Positioning Systems—0
Haris: an Advanced Autonomous Mobile Robot for Smart Parking Assistance—0
Towards a large-scale fused and labeled dataset of human pose while interacting with robots in shared urban areas—0
360ORB-SLAM: A Visual SLAM System for Panoramic Images with Depth Completion Network—0
3D Scene Geometry Estimation from 360^ Imagery: A Survey—0
SOS-Match: Segmentation for Open-Set Robust Correspondence Search and Robot Localization in Unstructured Environments—0
Reconfigurable Holographic Surface Aided Wireless Simultaneous Localization and Mapping—0
SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM—0
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