Simultaneous Localization and Mapping

131 papers with code • 0 benchmarks • 18 datasets

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 )

Libraries

Use these libraries to find Simultaneous Localization and Mapping models and implementations

DBA-Fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment with Multiple Sensors for Large-Scale Localization and Mapping

great-whu/dba-fusion 20 Mar 2024

Visual simultaneous localization and mapping (VSLAM) has broad applications, with state-of-the-art methods leveraging deep neural networks for better robustness and applicability.

10
20 Mar 2024

Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments

dlr-rm/umf 20 Mar 2024

Perceptual aliasing and weak textures pose significant challenges to the task of place recognition, hindering the performance of Simultaneous Localization and Mapping (SLAM) systems.

8
20 Mar 2024

RGBD GS-ICP SLAM

lab-of-ai-and-robotics/gs-icp-slam 19 Mar 2024

Simultaneous Localization and Mapping (SLAM) with dense representation plays a key role in robotics, Virtual Reality (VR), and Augmented Reality (AR) applications.

34
19 Mar 2024

VOOM: Robust Visual Object Odometry and Mapping using Hierarchical Landmarks

yutongwangbit/voom 21 Feb 2024

Meanwhile, local bundle adjustment is performed utilizing the objects and points-based covisibility graphs in our visual object mapping process.

60
21 Feb 2024

Customizable Perturbation Synthesis for Robust SLAM Benchmarking

xiaohao-xu/slam-under-perturbation 12 Feb 2024

To this end, we propose a novel, customizable pipeline for noisy data synthesis, aimed at assessing the resilience of multi-modal SLAM models against various perturbations.

26
12 Feb 2024

SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization

leomingyangli/semanticslam 23 Jan 2024

This approach enables the creation of a semantic map of the environment and ensures reliable camera localization.

7
23 Jan 2024

BDIS-SLAM: A lightweight CPU-based dense stereo SLAM for surgery

jingweisong/bdis-slam 25 Dec 2023

Conclusion: The proposed BDIS-SLAM is a lightweight stereo dense SLAM system for MIS.

11
25 Dec 2023

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM

spla-tam/splatam 4 Dec 2023

Dense simultaneous localization and mapping (SLAM) is crucial for robotics and augmented reality applications.

1,157
04 Dec 2023

Continuous Pose for Monocular Cameras in Neural Implicit Representation

qimaqi/continuous-pose-in-nerf 28 Nov 2023

In this paper, we showcase the effectiveness of optimizing monocular camera poses as a continuous function of time.

35
28 Nov 2023

Monocular visual simultaneous localization and mapping:(r) evolution from geometry to deep learning-based pipelines

olayasturias/monocular_visual_slam_survey IEEE Transactions on Artificial Intelligence 2023

With the rise of deep learning, there is a fundamental change in visual simultaneous localization and mapping (SLAM) algorithms toward developing different modules trained as end-to-end pipelines.

7
29 Sep 2023