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 361–370 of 572 papers

TitleStatusHype
SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words—0
Hyperspectral 3D Mapping of Underwater Environments—0
Quadrotor Control on SU(2) R^3 with SLAM Integration—0
From SLAM to Situational Awareness: Challenges and Survey—0
Superquadric Object Representation for Optimization-based Semantic SLAM—0
AirLoop: Lifelong Loop Closure DetectionCode0
Stochastic Observer for SLAM on the Lie Group—0
A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM—0
RPR-Net: A Point Cloud-based Rotation-aware Large Scale Place Recognition Network—0
Unified Representation of Geometric Primitives for Graph-SLAM Optimization Using Decomposed Quadrics—0
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