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 101150 of 572 papers

TitleStatusHype
The Hilti SLAM Challenge DatasetCode1
GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture ModelsCode1
DSP-SLAM: Object Oriented SLAM with Deep Shape PriorsCode1
General Place Recognition Survey: Towards the Real-world Autonomy AgeCode1
Bayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit FieldsCode1
Deep Depth Estimation from Visual-Inertial SLAMCode1
Deep Keypoint-Based Camera Pose Estimation with Geometric ConstraintsCode1
Online Visual Place Recognition via Saliency Re-identificationCode1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
OV^2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time ApplicationsCode1
GEM: Online Globally consistent dense elevation mapping for unstructured terrainCode1
Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place RecognitionCode1
Fast and Incremental Loop Closure Detection Using Proximity GraphsCode1
EndoMapper dataset of complete calibrated endoscopy proceduresCode1
SemanticSLAM: Learning based Semantic Map Construction and Robust Camera LocalizationCode1
Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor NavigationCode1
PyRobot: An Open-source Robotics Framework for Research and BenchmarkingCode1
D^3FlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO GuidanceCode1
DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance FieldsCode1
Fast and Incremental Loop Closure Detection with Deep Features and Proximity GraphsCode1
Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale EnvironmentCode1
Real-time Vision-based Depth Reconstruction with NVidia JetsonCode1
Semi-Dense 3D Reconstruction with a Stereo Event CameraCode1
Robust Line Segments Matching via Graph Convolution NetworksCode1
Self-Supervised Domain Calibration and Uncertainty Estimation for Place RecognitionCode1
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic CalibrationCode1
High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAMCode1
Embracing Dynamics: Dynamics-aware 4D Gaussian Splatting SLAMCode1
Descriptellation: Deep Learned Constellation DescriptorsCode0
Rotation Synchronization via Deep Matrix FactorizationCode0
DERD-Net: Learning Depth from Event-based Ray DensitiesCode0
Region Prediction for Efficient Robot Localization on Large MapsCode0
AirLoop: Lifelong Loop Closure DetectionCode0
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth PredictionCode0
Photometric LiDAR and RGB-D Bundle AdjustmentCode0
A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR DescriptorsCode0
SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous RobotsCode0
ORB-SLAM: a Versatile and Accurate Monocular SLAM SystemCode0
Online Spatial Concept and Lexical Acquisition with Simultaneous Localization and MappingCode0
P2U-SLAM: A Monocular Wide-FoV SLAM System Based on Point Uncertainty and Pose UncertaintyCode0
Neural SLAM: Learning to Explore with External MemoryCode0
Visual-Inertial SLAM for Unstructured Outdoor Environments: Benchmarking the Benefits and Computational Costs of Loop ClosingCode0
MultiCol-SLAM - A Modular Real-Time Multi-Camera SLAM SystemCode0
CorrAdaptor: Adaptive Local Context Learning for Correspondence PruningCode0
Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAMCode0
PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAMCode0
Monocular LSD-SLAM Integration within AR SystemCode0
Continuous Direct Sparse Visual Odometry from RGB-D ImagesCode0
Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple ObjectsCode0
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth PredictionCode0
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