Papers Simultaneous Localization and Mapping
“Simultaneous Localization and Mapping” 태그가 달린 논문 572편 · 필터 해제
Swarm-SLAM : Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems
Collaborative Simultaneous Localization And Mapping (C-SLAM) is a vital component for successful multi-robot operations in environments without an external positioning system, such as indoors, underground or underwater. …
Simultaneous Localization and MappingAdaptSLAM: Edge-Assisted Adaptive SLAM with Resource Constraints via Uncertainty Minimization
Edge computing is increasingly proposed as a solution for reducing resource consumption of mobile devices running simultaneous localization and mapping (SLAM) algorithms, with most edge-assisted SLAM systems assuming the…
Edge-computingSimultaneous Localization and MappingBS3D: Building-scale 3D Reconstruction from RGB-D Images
Various datasets have been proposed for simultaneous localization and mapping (SLAM) and related problems. Existing datasets often include small environments, have incomplete ground truth, or lack important sensor data, …
3D ReconstructionDepth EstimationMonocular Depth EstimationSimultaneous Localization and MappingA Fast Feature Point Matching Algorithm Based on IMU Sensor
In simultaneous localization and mapping (SLAM), image feature point matching process consume a lot of time. The capacity of low-power systems such as embedded systems is almost limited. It is difficult to ensure the tim…
Simultaneous Localization and MappingOcc^2Net: Robust Image Matching Based on 3D Occupancy Estimation for Occluded Regions
Image matching is a fundamental and critical task in various visual applications, such as Simultaneous Localization and Mapping (SLAM) and image retrieval, which require accurate pose estimation. However, most existi…
Image RetrievalInductive BiasPose EstimationRetrieval+1HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D Images
We present a novel dataset named as HPointLoc, specially designed for exploring capabilities of visual place recognition in indoor environment and loop detection in simultaneous localization and mapping. The loop detecti…
Image RetrievalRetrievalSimultaneous Localization and MappingVisual Place RecognitionRadio SLAM for 6G Systems at THz Frequencies: Design and Experimental Validation
Next-generation wireless networks will see the convergence of communication and sensing, also exploiting the availability of large bandwidths in the Terahertz (THz) spectrum and electrically large antenna arrays on handh…
Simultaneous Localization and MappingShared Coupling-bridge for Weakly Supervised Local Feature Learning
Sparse local feature extraction is usually believed to be of important significance in typical vision tasks such as simultaneous localization and mapping, image matching and 3D reconstruction. At present, it still has so…
3D ReconstructionCamera LocalizationImage MatchingSimultaneous Localization and Mapping+1SLAM for Visually Impaired People: a Survey
In recent decades, several assistive technologies have been developed to improve the ability of blind and visually impaired (BVI) individuals to navigate independently and safely. At the same time, simultaneous localizat…
NavigateSimultaneous Localization and MappingSurveySystematic Literature ReviewMmWave Mapping and SLAM for 5G and Beyond
Device localization and radar-like mapping are at the heart of integrated sensing and communication, enabling not only new services and applications, but can also improve communication quality with reduced overheads. The…
Integrated sensing and communicationSimultaneous Localization and MappingVision-based localization methods under GPS-denied conditions
This paper reviews vision-based localization methods in GPS-denied environments and classifies the mainstream methods into Relative Vision Localization (RVL) and Absolute Vision Localization (AVL). For RVL, we discuss th…
Optical Flow EstimationSimultaneous Localization and MappingVisual LocalizationVisual OdometryESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields
We present ESLAM, an efficient implicit neural representation method for Simultaneous Localization and Mapping (SLAM). ESLAM reads RGB-D frames with unknown camera poses in a sequential manner and incrementally reconstru…
3D ReconstructionCamera LocalizationNeRFSimultaneous Localization and MappingData Fusion for Multipath-Based SLAM: Combining Information from Multiple Propagation Paths
Multipath-based simultaneous localization and mapping (SLAM) is an emerging paradigm for accurate indoor localization with limited resources. The goal of multipath-based SLAM is to detect and localize radio reflective su…
Indoor LocalizationSimultaneous Localization and MappingSingle Particle AnalysisS3E: A Multi-Robot Multimodal Dataset for Collaborative SLAM
The burgeoning demand for collaborative robotic systems to execute complex tasks collectively has intensified the research community's focus on advancing simultaneous localization and mapping (SLAM) in a cooperative cont…
DiversitySimultaneous Localization and MappingVP-SLAM: A Monocular Real-time Visual SLAM with Points, Lines and Vanishing Points
Traditional monocular Visual Simultaneous Localization and Mapping (vSLAM) systems can be divided into three categories: those that use features, those that rely on the image itself, and hybrid models. In the case of fea…
Simultaneous Localization and MappingTranslationVisual SLAM: What are the Current Trends and What to Expect?
Vision-based sensors have shown significant performance, accuracy, and efficiency gain in Simultaneous Localization and Mapping (SLAM) systems in recent years. In this regard, Visual Simultaneous Localization and Mapping…
Pose EstimationSimultaneous Localization and MappingSurveySplit-KalmanNet: A Robust Model-Based Deep Learning Approach for SLAM
Simultaneous localization and mapping (SLAM) is a method that constructs a map of an unknown environment and localizes the position of a moving agent on the map simultaneously. Extended Kalman filter (EKF) has been widel…
Simultaneous Localization and MappingIndoor Smartphone SLAM with Learned Echoic Location Features
Indoor self-localization is a highly demanded system function for smartphones. The current solutions based on inertial, radio frequency, and geomagnetic sensing may have degraded performance when their limiting factors t…
Contrastive LearningSimultaneous Localization and MappingSelf-Improving SLAM in Dynamic Environments: Learning When to Mask
Visual SLAM - Simultaneous Localization and Mapping - in dynamic environments typically relies on identifying and masking image features on moving objects to prevent them from negatively affecting performance. Current ap…
Simultaneous Localization and MappingAutonomous Asteroid Characterization Through Nanosatellite Swarming
This paper first defines a class of estimation problem called simultaneous navigation and characterization (SNAC), which is a superset of simultaneous localization and mapping (SLAM). A SNAC framework is then developed f…
Landmark TrackingNavigateSimultaneous Localization and MappingState Estimation