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 561–570 of 572 papers

TitleStatusHype
Visual-Inertial SLAM for Unstructured Outdoor Environments: Benchmarking the Benefits and Computational Costs of Loop ClosingCode0
LOAM: Lidar Odometry and Mapping in Real-TimeCode0
Direct Sparse MappingCode0
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place RecognitionCode0
DF-SLAM: Dictionary Factors Representation for High-Fidelity Neural Implicit Dense Visual SLAM SystemCode0
Rotation Synchronization via Deep Matrix FactorizationCode0
KP2Dtiny: Quantized Neural Keypoint Detection and Description on the EdgeCode0
Keyfilter-Aware Real-Time UAV Object TrackingCode0
Det-SLAM: A semantic visual SLAM for highly dynamic scenes using Detectron2Code0
Descriptellation: Deep Learned Constellation DescriptorsCode0
Show:102550
← PrevPage 57 of 58Next →

No leaderboard results yet.