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 81–90 of 572 papers

TitleStatusHype
Continuous Pose for Monocular Cameras in Neural Implicit RepresentationCode1
Event-based Simultaneous Localization and Mapping: A Comprehensive SurveyCode1
BDIS-SLAM: A lightweight CPU-based dense stereo SLAM for surgeryCode1
DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance FieldsCode1
High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAMCode1
Embracing Dynamics: Dynamics-aware 4D Gaussian Splatting SLAMCode1
Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure DetectionCode1
iSLAM: Imperative SLAMCode1
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAMCode1
Bayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit FieldsCode1
Show:102550
← PrevPage 9 of 58Next →

No leaderboard results yet.