Papers Simultaneous Localization and Mapping
“Simultaneous Localization and Mapping” 태그가 달린 논문 572편 · 필터 해제
DeepRelativeFusion: Dense Monocular SLAM using Single-Image Relative Depth Prediction
In this paper, we propose a dense monocular SLAM system, named DeepRelativeFusion, that is capable to recover a globally consistent 3D structure. To this end, we use a visual SLAM algorithm to reliably recover the camera…
Depth EstimationDepth PredictionSimultaneous Localization and MappingVisual Navigation3D Lidar Mapping Relative Accuracy Automatic Evaluation Algorithm
HD (High Definition) map based on 3D lidar plays a vital role in autonomous vehicle localization, planning, decision-making, perception, etc. Many 3D lidar mapping technologies related to SLAM (Simultaneous Localization …
Decision MakingSimultaneous Localization and MappingSLAM-Inspired Simultaneous Contextualization and Interpreting for Incremental Conversation Sentences
Distributed representation of words has improved the performance for many natural language tasks. In many methods, however, only one meaning is considered for one label of a word, and multiple meanings of polysemous word…
Simultaneous Localization and MappingPrivacy-Protection Drone Patrol System based on Face Anonymization
The robot market has been growing significantly and is expected to become 1.5 times larger in 2024 than what it was in 2019. Robots have attracted attention of security companies thanks to their mobility. These days, for…
Face AnonymizationPrivacy PreservingSimultaneous Localization and MappingAn FPGA Acceleration and Optimization Techniques for 2D LiDAR SLAM Algorithm
An efficient hardware implementation for Simultaneous Localization and Mapping (SLAM) methods is of necessity for mobile autonomous robots with limited computational resources. In this paper, we propose a resource-effici…
Simultaneous Localization and MappingMaplets: An Efficient Approach for Cooperative SLAM Map Building Under Communication and Computation Constraints
This article introduces an approach to facilitate cooperative exploration and mapping of large-scale, near-ground, underground, or indoor spaces via a novel integration framework for locally-dense agent map data. The eff…
Simultaneous Localization and MappingPersistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM Extension
Electric vhicles and autonomous driving dominate current research efforts in the automotive sector. The two topics go hand in hand in terms of enabling safer and more environmentally friendly driving. One fundamental bui…
Autonomous DrivingAutonomous VehiclesSimultaneous Localization and MappingVisual LocalizationDeep-Learning-Based Indoor Human Following of Mobile Robot Using Color Feature
Human following is one of the fundamental functions in human–robot interaction for mobile robots. This paper shows a novel framework with state-machine control in which the robot tracks the target person in occlusion and…
Simultaneous Localization and MappingFast Geometric Surface based Segmentation of Point Cloud from Lidar Data
Mapping the environment has been an important task for robot navigation and Simultaneous Localization And Mapping (SLAM). LIDAR provides a fast and accurate 3D point cloud map of the environment which helps in map buildi…
Point Cloud SegmentationRobot NavigationSimultaneous Localization and MappingGPO: Global Plane Optimization for Fast and Accurate Monocular SLAM Initialization
Initialization is essential to monocular Simultaneous Localization and Mapping (SLAM) problems. This paper focuses on a novel initialization method for monocular SLAM based on planar features. The algorithm starts by hom…
Homography EstimationSimultaneous Localization and MappingPseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction
Classical monocular Simultaneous Localization And Mapping (SLAM) and the recently emerging convolutional neural networks (CNNs) for monocular depth prediction represent two largely disjoint approaches towards building a …
Depth EstimationDepth PredictionSimultaneous Localization and MappingRobust Line Segments Matching via Graph Convolution Networks
Line matching plays an essential role in structure from motion (SFM) and simultaneous localization and mapping (SLAM), especially in low-textured and repetitive scenes. In this paper, we present a new method of using a g…
Simultaneous Localization and MappingFLIVVER: Fly Lobula Inspired Visual Velocity Estimation & Ranging
The mechanism by which a tiny insect or insect-sized robot could estimate its absolute velocity and distance to nearby objects remains unknown. However, this ability is critical for behaviors that require estimating wind…
Simultaneous Localization and MappingState EstimationRemoving Dynamic Objects for Static Scene Reconstruction using Light Fields
There is a general expectation that robots should operate in environments that consist of static and dynamic entities including people, furniture and automobiles. These dynamic environments pose challenges to visual simu…
GPUSemantic SegmentationSimultaneous Localization and MappingDynamic Reconstruction of Deformable Soft-tissue with Stereo Scope in Minimal Invasive Surgery
In minimal invasive surgery, it is important to rebuild and visualize the latest deformed shape of soft-tissue surfaces to mitigate tissue damages. This paper proposes an innovative Simultaneous Localization and Mapping …
Dynamic ReconstructionSimultaneous Localization and MappingIntensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection
Loop closure detection is an essential and challenging problem in simultaneous localization and mapping (SLAM). It is often tackled with light detection and ranging (LiDAR) sensor due to its view-point and illumination i…
Loop Closure DetectionRetrievalSimultaneous Localization and MappingMajorization Minimization Methods for Distributed Pose Graph Optimization with Convergence Guarantees
In this paper, we consider the problem of distributed pose graph optimization (PGO) that has extensive applications in multi-robot simultaneous localization and mapping (SLAM). We propose majorization minimization method…
Simultaneous Localization and MappingKeyfilter-Aware Real-Time UAV Object Tracking
Correlation filter-based tracking has been widely applied in unmanned aerial vehicle (UAV) with high efficiency. However, it has two imperfections, i.e., boundary effect and filter corruption. Several methods enlarging t…
ObjectObject TrackingSimultaneous Localization and MappingVisual TrackingStereoNeuroBayesSLAM: A Neurobiologically Inspired Stereo Visual SLAM System Based on Direct Sparse Method
We propose a neurobiologically inspired visual simultaneous localization and mapping (SLAM) system based on direction sparse method to real-time build cognitive maps of large-scale environments from a moving stereo camer…
HippocampusSimultaneous Localization and MappingFast Loop Closure Detection via Binary Content
Loop closure detection plays an important role in reducing localization drift in Simultaneous Localization And Mapping (SLAM). It aims to find repetitive scenes from historical data to reset localization. To tackle the l…
Image RetrievalLoop Closure DetectionRetrievalSimultaneous Localization and Mapping