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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 451–500 of 572 papers

TitleStatusHype
Fast Loop Closure Detection via Binary Content—0
Dense monocular Simultaneous Localization and Mapping by direct surfel optimization—0
Statistical Outlier Identification in Multi-robot Visual SLAM using Expectation Maximization—0
RGB-D Odometry and SLAM—0
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey—0
Kernel learning for visual perceptionCode0
SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation—0
Tigris: Architecture and Algorithms for 3D Perception in Point CloudsCode0
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM—0
Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation—0
AQUALOC: An Underwater Dataset for Visual-Inertial-Pressure Localization—0
Distributed and Consistent Multi-Image Feature Matching via QuickMatch—0
gradSLAM: Automagically differentiable SLAMCode0
Bayesian Integration of Multi-resolutional Grid Codes for Spatial Cognition—0
Experience Dependent Formation of Global Coherent Representation of Environment by Grid Cells and Head Direction Cells—0
Measuring robustness of Visual SLAM—0
Real-Time 3D Reconstruction of Colonoscopic Surfaces for Determining Missing Regions—0
SLAM-based Integrity Monitoring Using GPS and Fish-eye Camera—0
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage CostCode0
TagSLAM: Robust SLAM with Fiducial Markers—0
Active collaboration in relative observation for Multi-agent visual SLAM based on Deep Q Network—0
Kalman Filtering with Gaussian Processes Measurement Noise—0
A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR DescriptorsCode0
SE-SLAM: Semi-Dense Structured Edge-Based Monocular SLAM—0
How far should self-driving cars see? Effect of observation range on vehicle self-localization—0
Hybrid Camera Pose Estimation with Online Partitioning for SLAM—0
Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM—0
Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAMCode0
Segway DRIVE Benchmark: Place Recognition and SLAM Data Collected by A Fleet of Delivery Robots—0
Dynamic-SLAM: Semantic monocular visual localization and mapping based on deep learning in dynamic environmentCode0
SLAM Endoscopy enhanced by adversarial depth prediction—0
Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation—0
Y-GAN: A Generative Adversarial Network for Depthmap Estimation from Multi-camera Stereo Images—0
eSLAM: An Energy-Efficient Accelerator for Real-Time ORB-SLAM on FPGA Platform—0
BAD SLAM: Bundle Adjusted Direct RGB-D SLAM—0
Direct Sparse MappingCode0
Continuous Direct Sparse Visual Odometry from RGB-D ImagesCode0
Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM—0
Sparse Depth Enhanced Direct Thermal-infrared SLAM Beyond the Visible Spectrum—0
Beyond Photometric Loss for Self-Supervised Ego-Motion EstimationCode0
GSLAM: A General SLAM Framework and BenchmarkCode0
UcoSLAM: Simultaneous Localization and Mapping by Fusion of KeyPoints and Squared Planar MarkersCode0
GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping—0
DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features—0
3D Scene Parsing via Class-Wise Adaptation—0
Real-time Indoor Scene Reconstruction with RGBD and Inertia Input—0
Network Uncertainty Informed Semantic Feature Selection for Visual SLAMCode0
Loop Closure Detection with RGB-D Feature Pyramid Siamese Networks—0
Joint Range and Angle Estimation for FMCW MIMO Radar and Its Application—0
RGB-D SLAM in Dynamic Environments Using Point Correlations—0
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