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 341–350 of 572 papers

TitleStatusHype
Sparse Image based Navigation Architecture to Mitigate the need of precise Localization in Mobile Robots—0
Indoor SLAM Using a Foot-mounted IMU and the local Magnetic Field—0
SelfTune: Metrically Scaled Monocular Depth Estimation through Self-Supervised Learning—0
An Online Semantic Mapping System for Extending and Enhancing Visual SLAM—0
Descriptellation: Deep Learned Constellation DescriptorsCode0
TwistSLAM: Constrained SLAM in Dynamic Environment—0
DL-SLOT: Dynamic Lidar SLAM and Object Tracking Based On Graph Optimization—0
A Novel Image Descriptor with Aggregated Semantic Skeleton Representation for Long-term Visual Place Recognition—0
Exploring Object-Aware Attention Guided Frame Association for RGB-D SLAM—0
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place RecognitionCode0
Show:102550
← PrevPage 35 of 58Next →

No leaderboard results yet.