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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 31–40 of 572 papers

TitleStatusHype
MBA-SLAM: Motion Blur Aware Dense Visual SLAM with Radiance Fields RepresentationCode2
GO-SLAM: Global Optimization for Consistent 3D Instant ReconstructionCode2
GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAMCode2
GV-Bench: Benchmarking Local Feature Matching for Geometric Verification of Long-term Loop Closure DetectionCode2
CaRtGS: Computational Alignment for Real-Time Gaussian Splatting SLAMCode2
BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAMCode2
Customizable Perturbation Synthesis for Robust SLAM BenchmarkingCode2
General Place Recognition Survey: Towards Real-World AutonomyCode2
Fast and Incremental Loop Closure Detection with Deep Features and Proximity GraphsCode1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
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