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 21–30 of 572 papers

TitleStatusHype
Event-based Stereo Depth Estimation: A SurveyCode2
RaNDT SLAM: Radar SLAM Based on Intensity-Augmented Normal Distributions TransformCode2
GV-Bench: Benchmarking Local Feature Matching for Geometric Verification of Long-term Loop Closure DetectionCode2
Hyperion - A fast, versatile symbolic Gaussian Belief Propagation framework for Continuous-Time SLAMCode2
From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness BenchmarkingCode2
Splat-SLAM: Globally Optimized RGB-only SLAM with 3D GaussiansCode2
General Place Recognition Survey: Towards Real-World AutonomyCode2
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
VOOM: Robust Visual Object Odometry and Mapping using Hierarchical LandmarksCode2
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