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 526–550 of 572 papers

TitleStatusHype
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric ConstraintsCode0
LoopSmart: Smart Visual SLAM Through Surface Loop Closure—0
On-the-fly Augmented Reality for Orthopaedic Surgery Using a Multi-Modal Fiducial—0
Egocentric Spatial Memory Network—0
Real-time 3D Reconstruction on Construction Site using Visual SLAM and UAV—0
Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction—0
Backtracking Regression Forests for Accurate Camera RelocalizationCode0
PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor Fusion and Hardware Co-Design—0
Space-Time Localization and Mapping—0
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single ImageCode0
Direction-Aware Semi-Dense SLAM—0
Improving Sonar Image Patch Matching via Deep Learning—0
CoBe -- Coded Beacons for Localization, Object Tracking, and SLAM AugmentationCode0
Incremental 3D Line Segment Extraction from Semi-dense SLAMCode0
A Solution for Crime Scene Reconstruction using Time-of-Flight Cameras—0
InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop ClosureCode0
Robust Monocular SLAM for Egocentric Videos—0
Original Loop-closure Detection Algorithm for Monocular vSLAM—0
Monocular Visual Odometry for an Unmanned Sea-Surface Vehicle—0
Neural SLAM: Learning to Explore with External MemoryCode0
Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple ObjectsCode0
Magnetic-Visual Sensor Fusion based Medical SLAM for Endoscopic Capsule Robot—0
A Non-Rigid Map Fusion-Based RGB-Depth SLAM Method for Endoscopic Capsule Robots—0
Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect—0
SLAM with Objects using a Nonparametric Pose GraphCode0
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