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 281–290 of 572 papers

TitleStatusHype
A Fast and Robust Camera-IMU Online Calibration Method For Localization System—0
Rotation Synchronization via Deep Matrix FactorizationCode0
Design, Implementation and Evaluation of an External Pose-Tracking System for Underwater Cameras—0
Set-Type Belief Propagation with Applications to Poisson Multi-Bernoulli SLAM—0
EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors—0
Neural Implicit Dense Semantic SLAM—0
Range-Only Bearing Estimator for Localization and Mapping—0
Multipath-based SLAM for Non-Ideal Reflective Surfaces Exploiting Multiple-Measurement Data Association—0
DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames—0
LSGDDN-LCD: An Appearance-based Loop Closure Detection using Local Superpixel Grid Descriptors and Incremental Dynamic Nodes—0
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