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 311–320 of 572 papers

TitleStatusHype
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC—0
BirdSLAM: Monocular Multibody SLAM in Bird's-Eye View—0
Black-box Adversarial Attacks on CNN-based SLAM Algorithms—0
BlinkTrack: Feature Tracking over 100 FPS via Events and Images—0
BS3D: Building-scale 3D Reconstruction from RGB-D Images—0
Bundle Adjustment in the Eager Mode—0
Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect—0
CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80—0
CLAM: Coupled Localization and Mapping with Efficient Outlier Handling—0
Closing the Calibration Loop: An Inside-out-tracking Paradigm for Augmented Reality in Orthopedic Surgery—0
Show:102550
← PrevPage 32 of 58Next →

No leaderboard results yet.