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 31–40 of 572 papers

TitleStatusHype
Customizable Perturbation Synthesis for Robust SLAM BenchmarkingCode2
GO-SLAM: Global Optimization for Consistent 3D Instant ReconstructionCode2
Point-SLAM: Dense Neural Point Cloud-based SLAMCode2
Swarm-SLAM : Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot SystemsCode2
ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance FieldsCode2
BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAMCode2
NICE-SLAM: Neural Implicit Scalable Encoding for SLAMCode2
3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and HumansCode2
Embracing Dynamics: Dynamics-aware 4D Gaussian Splatting SLAMCode1
Multimodal Fusion and Vision-Language Models: A Survey for Robot VisionCode1
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