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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 26–50 of 572 papers

TitleStatusHype
Splat-SLAM: Globally Optimized RGB-only SLAM with 3D GaussiansCode2
NICE-SLAM: Neural Implicit Scalable Encoding for SLAMCode2
ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance FieldsCode2
Place Recognition: A Comprehensive Review, Current Challenges and Future DirectionsCode2
MBA-SLAM: Motion Blur Aware Dense Visual SLAM with Radiance Fields RepresentationCode2
Event-based Stereo Depth Estimation: A SurveyCode2
Hyperion - A fast, versatile symbolic Gaussian Belief Propagation framework for Continuous-Time SLAMCode2
Point-SLAM: Dense Neural Point Cloud-based SLAMCode2
VOOM: Robust Visual Object Odometry and Mapping using Hierarchical LandmarksCode2
BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAMCode2
FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud MapsCode2
CaRtGS: Computational Alignment for Real-Time Gaussian Splatting SLAMCode2
CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian FieldCode2
Embracing Dynamics: Dynamics-aware 4D Gaussian Splatting SLAMCode1
EndoMapper dataset of complete calibrated endoscopy proceduresCode1
Graph-based Thermal-Inertial SLAM with Probabilistic Neural NetworksCode1
DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance FieldsCode1
DSP-SLAM: Object Oriented SLAM with Deep Shape PriorsCode1
DXSLAM: A Robust and Efficient Visual SLAM System with Deep FeaturesCode1
GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture ModelsCode1
ATDN vSLAM: An all-through Deep Learning-Based Solution for Visual Simultaneous Localization and MappingCode1
General Place Recognition Survey: Towards the Real-world Autonomy AgeCode1
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine IntelligenceCode1
High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAMCode1
Deep Depth Estimation from Visual-Inertial SLAMCode1
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