Papers Simultaneous Localization and Mapping
“Simultaneous Localization and Mapping” 태그가 달린 논문 572편 · 필터 해제
Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians
3D Gaussian Splatting has emerged as a powerful representation of geometry and appearance for RGB-only dense Simultaneous Localization and Mapping (SLAM), as it provides a compact dense map representation while enabling …
3D ReconstructionSimultaneous Localization and MappingNeB-SLAM: Neural Blocks-based Salable RGB-D SLAM for Unknown Scenes
Neural implicit representations have recently demonstrated considerable potential in the field of visual simultaneous localization and mapping (SLAM). This is due to their inherent advantages, including low storage overh…
Simultaneous Localization and MappingCoPeD-Advancing Multi-Robot Collaborative Perception: A Comprehensive Dataset in Real-World Environments
In the past decade, although single-robot perception has made significant advancements, the exploration of multi-robot collaborative perception remains largely unexplored. This involves fusing compressed, intermittent, l…
Pose EstimationScene UnderstandingSimultaneous Localization and MappingMonocular Gaussian SLAM with Language Extended Loop Closure
Recently,3DGaussianSplattinghasshowngreatpotentialin visual Simultaneous Localization And Mapping (SLAM). Existing methods have achieved encouraging results on RGB-D SLAM, but studies of the monocular case are still scar…
global-optimizationSimultaneous Localization and MappingOutlier-Robust Long-Term Robotic Mapping Leveraging Ground Segmentation
Despite the remarkable advancements in deep learning-based perception technologies and simultaneous localization and mapping (SLAM), one can face the failure of these approaches when robots encounter scenarios outside th…
Simultaneous Localization and MappingNGD-SLAM: Towards Real-Time Dynamic SLAM without GPU
Many existing visual SLAM methods can achieve high localization accuracy in dynamic environments by leveraging deep learning to mask moving objects. However, these methods incur significant computational overhead as the …
CPUDeep LearningGPUOptical Flow Estimation+1MGS-SLAM: Monocular Sparse Tracking and Gaussian Mapping with Depth Smooth Regularization
This letter introduces a novel framework for dense Visual Simultaneous Localization and Mapping (VSLAM) based on Gaussian Splatting. Recently, SLAM based on Gaussian Splatting has shown promising results. However, in mon…
Depth EstimationNovel View SynthesisPose EstimationSimultaneous Localization and Mapping+1General Place Recognition Survey: Towards Real-World Autonomy
In the realm of robotics, the quest for achieving real-world autonomy, capable of executing large-scale and long-term operations, has positioned place recognition (PR) as a cornerstone technology. Despite the PR communit…
Simultaneous Localization and MappingSurveyMultipath-based SLAM with Cooperation and Map Fusion in MIMO Systems
Multipath-based simultaneous localization and mapping (MP-SLAM) is a promising approach in wireless networks for obtaining position information of transmitters and receivers as well as information on the propagation envi…
PositionSimultaneous Localization and MappingS3-SLAM: Sparse Tri-plane Encoding for Neural Implicit SLAM
With the emergence of Neural Radiance Fields (NeRF), neural implicit representations have gained widespread applications across various domains, including simultaneous localization and mapping. However, current neural im…
NeRFSimultaneous Localization and MappingDF-SLAM: Dictionary Factors Representation for High-Fidelity Neural Implicit Dense Visual SLAM System
We introduce a high-fidelity neural implicit dense visual Simultaneous Localization and Mapping (SLAM) system, termed DF-SLAM. In our work, we employ dictionary factors for scene representation, encoding the geometry and…
Simultaneous Localization and MappingSLAM for Indoor Mapping of Wide Area Construction Environments
Simultaneous localization and mapping (SLAM), i.e., the reconstruction of the environment represented by a (3D) map and the concurrent pose estimation, has made astonishing progress. Meanwhile, large scale applications a…
Pose EstimationSimultaneous Localization and MappingNeural Radiance Field in Autonomous Driving: A Survey
Neural Radiance Field (NeRF) has garnered significant attention from both academia and industry due to its intrinsic advantages, particularly its implicit representation and novel view synthesis capabilities. With the ra…
3D ReconstructionAutonomous DrivingNeRFNovel View Synthesis+2MIMO Multipath-based SLAM for Non-Ideal Reflective Surfaces
Multipath-based simultaneous localization and mapping (MP-SLAM) is a well established approach to obtain position information of transmitters and receivers as well as information regarding the propagation environments in…
Simultaneous Localization and MappingOn fusing active and passive acoustic sensing for simultaneous localization and mapping
Studies on the social behaviors of bats show that they have the ability to eavesdrop on the signals emitted by conspecifics in their vicinity. They can fuse this ``passive" data with actively collected data from their ow…
Simultaneous Localization and MappingRobust Snapshot Radio SLAM
The intrinsic geometric connections between millimeter-wave (mmWave) signals and the propagation environment can be leveraged for simultaneous localization and mapping (SLAM) in 5G and beyond networks. However, estimated…
Simultaneous Localization and MappingBayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit Fields
We present a Bayesian Neural Radiance Field (NeRF), which explicitly quantifies uncertainty in the volume density by modeling uncertainty in the occupancy, without the need for additional networks, making it particularly…
NeRFSimultaneous Localization and MappingGaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction
Within colorectal cancer diagnostics, conventional colonoscopy techniques face critical limitations, including a limited field of view and a lack of depth information, which can impede the detection of precancerous lesio…
Novel View SynthesisSimultaneous Localization and MappingSSIMAutomated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology
In addition to environmental perception sensors such as cameras, radars, etc. in the automatic driving system, the external environment of the vehicle is perceived, in fact, there is also a perception sensor that has bee…
Autonomous DrivingAutonomous VehiclesDecision MakingSensor Fusion+1LOSS-SLAM: Lightweight Open-Set Semantic Simultaneous Localization and Mapping
Enabling robots to understand the world in terms of objects is a critical building block towards higher level autonomy. The success of foundation models in vision has created the ability to segment and identify nearly al…
Simultaneous Localization and Mapping