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 101–125 of 572 papers

TitleStatusHype
Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methods—0
Towards Real-Time Gaussian Splatting: Accelerating 3DGS through Photometric SLAM—0
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical ApplicationsCode1
Visual-Inertial SLAM for Unstructured Outdoor Environments: Benchmarking the Benefits and Computational Costs of Loop ClosingCode0
High-Quality, ROS Compatible Video Encoding and Decoding for High-Definition DatasetsCode0
NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene Understanding—0
Solving Short-Term Relocalization Problems In Monocular Keyframe Visual SLAM Using Spatial And Semantic DataCode0
3D Reconstruction of the Human Colon from Capsule Endoscope Video—0
Learn to Memorize and to Forget: A Continual Learning Perspective of Dynamic SLAM—0
Batch SLAM with PMBM Data Association Sampling and Graph-Based Optimization—0
GV-Bench: Benchmarking Local Feature Matching for Geometric Verification of Long-term Loop Closure DetectionCode2
FR-SLAM: A SLAM Improvement Method Based on Floor Plan Registration—0
A Neurosymbolic Approach to Adaptive Feature Extraction in SLAM—0
Hyperion - A fast, versatile symbolic Gaussian Belief Propagation framework for Continuous-Time SLAMCode2
Humans as Checkerboards: Calibrating Camera Motion Scale for World-Coordinate Human Mesh Recovery—0
From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness BenchmarkingCode2
Multicam-SLAM: Non-overlapping Multi-camera SLAM for Indirect Visual Localization and NavigationCode1
Open Problem: Active Representation Learning—0
Rotation Averaging: A Primal-Dual Method and Closed-Forms in Cycle Graphs—0
CudaSIFT-SLAM: multiple-map visual SLAM for full procedure mapping in real human endoscopy—0
Splat-SLAM: Globally Optimized RGB-only SLAM with 3D GaussiansCode2
NeB-SLAM: Neural Blocks-based Salable RGB-D SLAM for Unknown Scenes—0
CoPeD-Advancing Multi-Robot Collaborative Perception: A Comprehensive Dataset in Real-World EnvironmentsCode1
Monocular Gaussian SLAM with Language Extended Loop Closure—0
Outlier-Robust Long-Term Robotic Mapping Leveraging Ground Segmentation—0
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