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

Showing 201225 of 572 papers

TitleStatusHype
Construction Inspection through Spatial Database0
Exploring Emerging Trends and Research Opportunities in Visual Place Recognition0
Exploiting Diffuse Multipath in 5G SLAM0
Compositional Scalable Object SLAM0
GI-SLAM: Gaussian-Inertial SLAM0
Global Pose Estimation with an Attention-based Recurrent Network0
A SLAM Map Restoration Algorithm Based on Submaps and an Undirected Connected Graph0
Robust Second-order LiDAR Bundle Adjustment Algorithm Using Mean Squared Group Metric0
Experience Dependent Formation of Global Coherent Representation of Environment by Grid Cells and Head Direction Cells0
GPO: Global Plane Optimization for Fast and Accurate Monocular SLAM Initialization0
Advances in Inference and Representation for Simultaneous Localization and Mapping0
Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation0
A Sigma Point-based Low Complexity Algorithm for Multipath-based SLAM in MIMO Systems0
GRIHA: Synthesizing 2-Dimensional Building Layouts from Images Captured using a Smart Phone0
3D Scene Parsing via Class-Wise Adaptation0
Active collaboration in relative observation for Multi-agent visual SLAM based on Deep Q Network0
ICP Algorithm: Theory, Practice And Its SLAM-oriented Taxonomy0
Haris: an Advanced Autonomous Mobile Robot for Smart Parking Assistance0
HDPV-SLAM: Hybrid Depth-augmented Panoramic Visual SLAM for Mobile Mapping System with Tilted LiDAR and Panoramic Visual Camera0
Deep-Learning-Based Indoor Human Following of Mobile Robot Using Color Feature0
Hierarchical Segment-based Optimization for SLAM0
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications0
EvenNICER-SLAM: Event-based Neural Implicit Encoding SLAM0
Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes0
Evaluation of the Robustness of Visual SLAM Methods in Different Environments0
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