Papers Simultaneous Localization and Mapping
“Simultaneous Localization and Mapping” 태그가 달린 논문 572편 · 필터 해제
Haris: an Advanced Autonomous Mobile Robot for Smart Parking Assistance
This paper presents Haris, an advanced autonomous mobile robot system for tracking the location of vehicles in crowded car parks using license plate recognition. The system employs simultaneous localization and mapping (…
Autonomous NavigationLicense Plate RecognitionManagementobject-detection+2Towards a large-scale fused and labeled dataset of human pose while interacting with robots in shared urban areas
Over the last decade, Autonomous Delivery Robots (ADRs) have transformed conventional delivery methods, responding to the growing e-commerce demand. However, the readiness of ADRs to navigate safely among pedestrians in …
NavigatePose EstimationPose PredictionSimultaneous Localization and MappingSemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization
Current techniques in Visual Simultaneous Localization and Mapping (VSLAM) estimate camera displacement by comparing image features of consecutive scenes. These algorithms depend on scene continuity, hence requires frequ…
Camera LocalizationPose EstimationRobot NavigationSimultaneous Localization and Mapping360ORB-SLAM: A Visual SLAM System for Panoramic Images with Depth Completion Network
To enhance the performance and effect of AR/VR applications and visual assistance and inspection systems, visual simultaneous localization and mapping (vSLAM) is a fundamental task in computer vision and robotics. Howeve…
Depth CompletionSimultaneous Localization and Mapping3D Scene Geometry Estimation from 360$^\circ$ Imagery: A Survey
This paper provides a comprehensive survey on pioneer and state-of-the-art 3D scene geometry estimation methodologies based on single, two, or multiple images captured under the omnidirectional optics. We first revisit t…
Simultaneous Localization and MappingStereo MatchingSurveySOS-Match: Segmentation for Open-Set Robust Correspondence Search and Robot Localization in Unstructured Environments
We present SOS-Match, a novel framework for detecting and matching objects in unstructured environments. Our system consists of 1) a front-end mapping pipeline using a zero-shot segmentation model to extract object masks…
Simultaneous Localization and MappingZero Shot SegmentationReconfigurable Holographic Surface Aided Wireless Simultaneous Localization and Mapping
As a crucial facilitator of future autonomous driving applications, wireless simultaneous localization and mapping (SLAM) has drawn growing attention recently. However, the accuracy of existing wireless SLAM schemes is l…
Autonomous DrivingSimultaneous Localization and MappingSplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM
Dense simultaneous localization and mapping (SLAM) is crucial for robotics and augmented reality applications. However current methods are often hampered by the non-volumetric or implicit way they represent a scene. …
Camera Pose EstimationNovel View SynthesisPose EstimationSimultaneous Localization and MappingBDIS-SLAM: A lightweight CPU-based dense stereo SLAM for surgery
Purpose: Common dense stereo Simultaneous Localization and Mapping (SLAM) approaches in Minimally Invasive Surgery (MIS) require high-end parallel computational resources for real-time implementation. Yet, it is not alwa…
CPUSimultaneous Localization and MappingStereo MatchingA Belief Propagation Approach for Direct Multipath-Based SLAM
In this work, we develop a multipath-based simultaneous localization and mapping (SLAM) method that can directly be applied to received radio signals. In existing multipath-based SLAM approaches, a channel estimator is u…
Simultaneous Localization and MappingMillimeter-wave Radio SLAM: End-to-End Processing Methods and Experimental Validation
In this article, we address the timely topic of cellular bistatic simultaneous localization and mapping (SLAM) with specific focus on end-to-end processing solutions, from raw I/Q samples, via channel parameter estimatio…
parameter estimationSimultaneous Localization and MappingTernary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM
In this work, we address the challenge of deploying Neural Radiance Field (NeRFs) in Simultaneous Localization and Mapping (SLAM) under the condition of lacking depth information, relying solely on RGB inputs. The key to…
NeRFSimultaneous Localization and MappingVisual OdometryGaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting
We present a dense simultaneous localization and mapping (SLAM) method that uses 3D Gaussians as a scene representation. Our approach enables interactive-time reconstruction and photo-realistic rendering from real-world …
Simultaneous Localization and MappingDeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors
Point clouds have shown significant potential in various domains, including Simultaneous Localization and Mapping (SLAM). However, existing approaches either rely on dense point clouds to achieve high localization accura…
Simultaneous Localization and MappingSplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM
Dense simultaneous localization and mapping (SLAM) is crucial for robotics and augmented reality applications. However, current methods are often hampered by the non-volumetric or implicit way they represent a scene. Thi…
Camera Pose EstimationNovel View SynthesisPose EstimationScene Understanding+1DNS SLAM: Dense Neural Semantic-Informed SLAM
In recent years, coordinate-based neural implicit representations have shown promising results for the task of Simultaneous Localization and Mapping (SLAM). While achieving impressive performance on small synthetic scene…
Semantic SLAMSimultaneous Localization and MappingContinuous Pose for Monocular Cameras in Neural Implicit Representation
In this paper, we showcase the effectiveness of optimizing monocular camera poses as a continuous function of time. The camera poses are represented using an implicit neural function which maps the given time to the corr…
NeRFSimultaneous Localization and MappingGS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting
In this paper, we introduce \textbf{GS-SLAM} that first utilizes 3D Gaussian representation in the Simultaneous Localization and Mapping (SLAM) system. It facilitates a better balance between efficiency and accuracy. Com…
Pose TrackingSimultaneous Localization and MappingRadarize: Enhancing Radar SLAM with Generalizable Doppler-Based Odometry
Millimeter-wave (mmWave) radar is increasingly being considered as an alternative to optical sensors for robotic primitives like simultaneous localization and mapping (SLAM). While mmWave radar overcomes some limitations…
Simultaneous Localization and MappingCP-SLAM: Collaborative Neural Point-based SLAM System
This paper presents a collaborative implicit neural simultaneous localization and mapping (SLAM) system with RGB-D image sequences, which consists of complete front-end and back-end modules including odometry, loop detec…
global-optimizationSimultaneous Localization and Mapping