Papers Simultaneous Localization and Mapping
“Simultaneous Localization and Mapping” 태그가 달린 논문 572편 · 필터 해제
A Novel Image Descriptor with Aggregated Semantic Skeleton Representation for Long-term Visual Place Recognition
In a Simultaneous Localization and Mapping (SLAM) system, a loop-closure can eliminate accumulated errors, which is accomplished by Visual Place Recognition (VPR), a task that retrieves the current scene from a set of pr…
Semantic SegmentationSimultaneous Localization and MappingVisual Place RecognitionExploring Object-Aware Attention Guided Frame Association for RGB-D SLAM
Deep learning models as an emerging topic have shown great progress in various fields. Especially, visualization tools such as class activation mapping methods provided visual explanation on the reasoning of convolutiona…
ObjectSimultaneous Localization and MappingPhase-SLAM: Phase Based Simultaneous Localization and Mapping for Mobile Structured Light Illumination Systems
Structured Light Illumination (SLI) systems have been used for reliable indoor dense 3D scanning via phase triangulation. However, mobile SLI systems for 360 degree 3D reconstruction demand 3D point cloud registration, i…
3D Object Reconstruction3D ReconstructionLoop Closure DetectionObject Reconstruction+3High-resolution Ecosystem Mapping in Repetitive Environments Using Dual Camera SLAM
Structure from Motion (SfM) techniques are being increasingly used to create 3D maps from images in many domains including environmental monitoring. However, SfM techniques are often confounded in visually repetitive env…
global-optimizationSimultaneous Localization and MappingVocal Bursts Intensity PredictionWhy-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition
Deep learning-based image retrieval techniques for the loop closure detection demonstrate satisfactory performance. However, it is still challenging to achieve high-level performance based on previously trained models in…
Image RetrievalLoop Closure DetectionRetrievalSimultaneous Localization and Mapping+1Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping
With the wide penetration of smart robots in multifarious fields, Simultaneous Localization and Mapping (SLAM) technique in robotics has attracted growing attention in the community. Yet collaborating SLAM over multiple …
Edge-computingSimultaneous Localization and MappingNICE-SLAM: Neural Implicit Scalable Encoding for SLAM
Neural implicit representations have recently shown encouraging results in various domains, including promising progress in simultaneous localization and mapping (SLAM). Nevertheless, existing methods produce over-smooth…
Simultaneous Localization and MappingAutonomous Navigation System from Simultaneous Localization and Mapping
This paper presents the development of a Simultaneous Localization and Mapping (SLAM) based Autonomous Navigation system. The motivation for this study was to find a solution for navigating interior spaces autonomously. …
Autonomous NavigationSimultaneous Localization and MappingSimultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization
Simultaneous Localization and Mapping (SLAM) algorithms perform visual-inertial estimation via filtering or batch optimization methods. Empirical evidence suggests that filtering algorithms are computationally faster, wh…
Simultaneous Localization and MappingIterated Posterior Linearization PMB Filter for 5G SLAM
5G millimeter wave (mmWave) signals have inherent geometric connections to the propagation channel and the propagation environment. Thus, they can be used to jointly localize the receiver and map the propagation environm…
Simultaneous Localization and MappingA Scan-to-Locality Map Strategy for 2D LiDAR and RGB-D Data Fusion
2D LiDAR and RGB-D camera are two widely used sensors in the task of simultaneous localization and mapping (SLAM). In spite of various map methods for SLAM, an effective strategy which is able to fuse 2D-LiDAR and RGB-D …
Simultaneous Localization and MappingProbabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network
Keypoints matching is a pivotal component for many image-relevant applications such as image stitching, visual simultaneous localization and mapping (SLAM), and so on. Both handcrafted-based and recently emerged deep lea…
Graph Neural NetworkImage StitchingMotion EstimationSimultaneous Localization and MappingTomoSLAM: factor graph optimization for rotation angle refinement in microtomography
In computed tomography (CT), the relative trajectories of a sample, a detector, and a signal source are traditionally considered to be known, since they are caused by the intentional preprogrammed movement of the instrum…
Computed Tomography (CT)PositionSimultaneous Localization and MappingHierarchical Segment-based Optimization for SLAM
This paper presents a hierarchical segment-based optimization method for Simultaneous Localization and Mapping (SLAM) system. First we propose a reliable trajectory segmentation method that can be used to increase effici…
SegmentationSimultaneous Localization and MappingOnline Mutual Adaptation of Deep Depth Prediction and Visual SLAM
The ability of accurate depth prediction by a convolutional neural network (CNN) is a major challenge for its wide use in practical visual simultaneous localization and mapping (SLAM) applications, such as enhanced camer…
Depth EstimationDepth PredictionPredictionSimultaneous Localization and MappingEfficient Placard Discovery for Semantic Mapping During Frontier Exploration
Semantic mapping is the task of providing a robot with a map of its environment beyond the open, navigable space of traditional Simultaneous Localization and Mapping (SLAM) algorithms by attaching semantics to locations.…
SegmentationSimultaneous Localization and MappingAutomatic Impact-sounding Acoustic Inspection of Concrete Structure
Impact sounding signal has been shown to contain information about structural integrity flaws and subsurface objects from previous research. As non-destructive testing (NDT) method, one of the biggest challenges in impac…
PositionSimultaneous Localization and MappingSymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words
Loop closure detection is an essential tool of Simultaneous Localization and Mapping (SLAM) to minimize drift in its localization. Many state-of-the-art loop closure detection (LCD) algorithms use visual Bag-of-Words (vB…
Loop Closure DetectionSimultaneous Localization and MappingHyperspectral 3D Mapping of Underwater Environments
Hyperspectral imaging has been increasingly used for underwater survey applications over the past years. As many hyperspectral cameras work as push-broom scanners, their use is usually limited to the creation of photo-mo…
3D ReconstructionSimultaneous Localization and MappingQuadrotor Control on $SU(2)\times R^3$ with SLAM Integration
We present a trajectory tracking controller for a quadrotor unmanned aerial vehicle (UAV) configured on $SU(2)\times R^3$, and relate this result to a family of geometric tracking controllers on $SO(3)\times R^3$. The th…
Simultaneous Localization and Mapping