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 261–270 of 572 papers

TitleStatusHype
Embedded Vision for Self-Driving on Forest Roads—0
Bundle Adjustment in the Eager Mode—0
AQUALOC: An Underwater Dataset for Visual-Inertial-Pressure Localization—0
360ORB-SLAM: A Visual SLAM System for Panoramic Images with Depth Completion Network—0
EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors—0
Egocentric Spatial Memory Network—0
BS3D: Building-scale 3D Reconstruction from RGB-D Images—0
Efficient Placard Discovery for Semantic Mapping During Frontier Exploration—0
Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping—0
Appearance-based indoor localization: A comparison of patch descriptor performance—0
Show:102550
← PrevPage 27 of 58Next →

No leaderboard results yet.