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

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Showing 301–310 of 572 papers

TitleStatusHype
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
Phase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination SystemsCode1
High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAMCode1
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place RecognitionCode0
Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping—0
NICE-SLAM: Neural Implicit Scalable Encoding for SLAMCode2
Autonomous Navigation System from Simultaneous Localization and MappingCode1
Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization—0
Iterated Posterior Linearization PMB Filter for 5G SLAM—0
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