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 376–400 of 572 papers

TitleStatusHype
Enhancing Feature Tracking Reliability for Visual Navigation using Real-Time Safety Filter—0
eSLAM: An Energy-Efficient Accelerator for Real-Time ORB-SLAM on FPGA Platform—0
Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methods—0
Evaluation and comparison of eight popular Lidar and Visual SLAM algorithms—0
Evaluation of the Robustness of Visual SLAM Methods in Different Environments—0
EvenNICER-SLAM: Event-based Neural Implicit Encoding SLAM—0
Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation—0
Experience Dependent Formation of Global Coherent Representation of Environment by Grid Cells and Head Direction Cells—0
SLAM-Inspired Simultaneous Contextualization and Interpreting for Incremental Conversation Sentences—0
SOS-Match: Segmentation for Open-Set Robust Correspondence Search and Robot Localization in Unstructured Environments—0
Space-Time Localization and Mapping—0
SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM for Resource-Constrained Embedded Platforms—0
Sparse 3D Point-cloud Map Upsampling and Noise Removal as a vSLAM Post-processing Step: Experimental Evaluation—0
Sparse Depth Enhanced Direct Thermal-infrared SLAM Beyond the Visible Spectrum—0
Sparse Image based Navigation Architecture to Mitigate the need of precise Localization in Mobile Robots—0
Spatiotemporal Articulated Models for Dynamic SLAM—0
Spectral Graph Theoretic Methods for Enhancing Network Robustness in Robot Localization—0
Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM—0
SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM—0
Split-KalmanNet: A Robust Model-Based Deep Learning Approach for SLAM—0
SP-SLAM: Neural Real-Time Dense SLAM With Scene Priors—0
SSF-PAN: Semantic Scene Flow-Based Perception for Autonomous Navigation in Traffic Scenarios—0
STAMICS: Splat, Track And Map with Integrated Consistency and Semantics for Dense RGB-D SLAM—0
Static-Dynamic Class-level Perception Consistency in Video Semantic Segmentation—0
Statistical Outlier Identification in Multi-robot Visual SLAM using Expectation Maximization—0
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