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 126–150 of 572 papers

TitleStatusHype
NGD-SLAM: Towards Real-Time Dynamic SLAM without GPUCode3
MGS-SLAM: Monocular Sparse Tracking and Gaussian Mapping with Depth Smooth Regularization—0
General Place Recognition Survey: Towards Real-World AutonomyCode2
Multipath-based SLAM with Cooperation and Map Fusion in MIMO Systems—0
S3-SLAM: Sparse Tri-plane Encoding for Neural Implicit SLAM—0
DF-SLAM: Dictionary Factors Representation for High-Fidelity Neural Implicit Dense Visual SLAM SystemCode0
SLAM for Indoor Mapping of Wide Area Construction Environments—0
MIMO Multipath-based SLAM for Non-Ideal Reflective Surfaces—0
Neural Radiance Field in Autonomous Driving: A Survey—0
On fusing active and passive acoustic sensing for simultaneous localization and mapping—0
Robust Snapshot Radio SLAM—0
Bayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit FieldsCode1
Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic ReconstructionCode1
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
LOSS-SLAM: Lightweight Open-Set Semantic Simultaneous Localization and Mapping—0
Language, Environment, and Robotic Navigation—0
MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements—0
GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAMCode2
CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian FieldCode2
EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting—0
DBA-Fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment with Multiple Sensors for Large-Scale Localization and MappingCode3
Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture EnvironmentsCode1
RGBD GS-ICP SLAMCode4
DVN-SLAM: Dynamic Visual Neural SLAM Based on Local-Global Encoding—0
A Belief Propagation Algorithm for Multipath-based SLAM with Multiple Map Features: A mmWave MIMO Application—0
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