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 51–60 of 572 papers

TitleStatusHype
Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic ReconstructionCode1
Autonomous Navigation System from Simultaneous Localization and MappingCode1
General Place Recognition Survey: Towards the Real-world Autonomy AgeCode1
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine IntelligenceCode1
Graph-based Thermal-Inertial SLAM with Probabilistic Neural NetworksCode1
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
Fast and Incremental Loop Closure Detection Using Proximity GraphsCode1
Event-based Simultaneous Localization and Mapping: A Comprehensive SurveyCode1
Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure DetectionCode1
Fast and Incremental Loop Closure Detection with Deep Features and Proximity GraphsCode1
Show:102550
← PrevPage 6 of 58Next →

No leaderboard results yet.