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 181–190 of 572 papers

TitleStatusHype
A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR DescriptorsCode0
High-Quality, ROS Compatible Video Encoding and Decoding for High-Definition DatasetsCode0
Direct Sparse MappingCode0
Backtracking Regression Forests for Accurate Camera RelocalizationCode0
DF-SLAM: Dictionary Factors Representation for High-Fidelity Neural Implicit Dense Visual SLAM SystemCode0
Det-SLAM: A semantic visual SLAM for highly dynamic scenes using Detectron2Code0
InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human NavigationCode0
Rotation Synchronization via Deep Matrix FactorizationCode0
Design, Implementation and Evaluation of an External Pose-Tracking System for Underwater Cameras—0
A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM—0
Show:102550
← PrevPage 19 of 58Next →

No leaderboard results yet.