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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 301–350 of 572 papers

TitleStatusHype
A Novel Image Descriptor with Aggregated Semantic Skeleton Representation for Long-term Visual Place Recognition—0
Exploring Object-Aware Attention Guided Frame Association for RGB-D SLAM—0
Phase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination SystemsCode1
High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAMCode1
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place RecognitionCode0
Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping—0
NICE-SLAM: Neural Implicit Scalable Encoding for SLAMCode2
Autonomous Navigation System from Simultaneous Localization and MappingCode1
Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization—0
Iterated Posterior Linearization PMB Filter for 5G SLAM—0
A Scan-to-Locality Map Strategy for 2D LiDAR and RGB-D Data FusionCode0
Probabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network—0
TomoSLAM: factor graph optimization for rotation angle refinement in microtomography—0
Online Mutual Adaptation of Deep Depth Prediction and Visual SLAM—0
Hierarchical Segment-based Optimization for SLAM—0
Efficient Placard Discovery for Semantic Mapping During Frontier Exploration—0
Automatic Impact-sounding Acoustic Inspection of Concrete Structure—0
SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words—0
Hyperspectral 3D Mapping of Underwater Environments—0
Quadrotor Control on SU(2) R^3 with SLAM Integration—0
From SLAM to Situational Awareness: Challenges and Survey—0
The Hilti SLAM Challenge DatasetCode1
Superquadric Object Representation for Optimization-based Semantic SLAM—0
AirLoop: Lifelong Loop Closure DetectionCode0
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place RecognitionCode1
Stochastic Observer for SLAM on the Lie Group—0
SO-SLAM: Semantic Object SLAM with Scale Proportional and Symmetrical Texture ConstraintsCode1
A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM—0
Optimal Target Shape for LiDAR Pose EstimationCode1
RPR-Net: A Point Cloud-based Rotation-aware Large Scale Place Recognition Network—0
DSP-SLAM: Object Oriented SLAM with Deep Shape PriorsCode1
Unified Representation of Geometric Primitives for Graph-SLAM Optimization Using Decomposed Quadrics—0
SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous RobotsCode0
AcousticFusion: Fusing Sound Source Localization to Visual SLAM in Dynamic Environments—0
mmWave Simultaneous Localization and Mapping Using a Computationally Efficient EK-PHD Filter—0
PoseFusion2: Simultaneous Background Reconstruction and Human Shape Recovery in Real-time—0
Automatic Vocabulary and Graph Verification for Accurate Loop Closure Detection—0
Wireless Indoor Simultaneous Localization and Mapping Using Reconfigurable Intelligent Surface—0
Dirichlet process approach for radio-based simultaneous localization and mapping—0
Cooperative mmWave PHD-SLAM with Moving Scatterers—0
BEyond observation: an approach for ObjectNavCode0
Towards bio-inspired unsupervised representation learning for indoor aerial navigation—0
MAOMaps: A Photo-Realistic Benchmark For vSLAM and Map Merging Quality AssessmentCode1
Embedded Vision for Self-Driving on Forest Roads—0
Unsupervised Scale-consistent Depth Learning from VideoCode1
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation—0
LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping—0
Real-time Multi-Adaptive-Resolution-Surfel 6D LiDAR Odometry using Continuous-time Trajectory OptimizationCode1
SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition—0
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames—0
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