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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 211–220 of 572 papers

TitleStatusHype
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
Event-based Simultaneous Localization and Mapping: A Comprehensive SurveyCode1
Range-Only Bearing Estimator for Localization and Mapping—0
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
Multipath-based SLAM for Non-Ideal Reflective Surfaces Exploiting Multiple-Measurement Data Association—0
Loop Closure Detection Based on Object-level Spatial Layout and Semantic ConsistencyCode1
Show:102550
← PrevPage 22 of 58Next →

No leaderboard results yet.