Papers Simultaneous Localization and Mapping
“Simultaneous Localization and Mapping” 태그가 달린 논문 572편 · 필터 해제
NeRF and Gaussian Splatting SLAM in the Wild
Navigating outdoor environments with visual Simultaneous Localization and Mapping (SLAM) systems poses significant challenges due to dynamic scenes, lighting variations, and seasonal changes, requiring robust solutions. …
3DGSComputational EfficiencyNeRFSimultaneous Localization and MappingROVER: A Multi-Season Dataset for Visual SLAM
Robust SLAM is a crucial enabler for autonomous navigation in natural, semi-structured environments such as parks and gardens. However, these environments present unique challenges for SLAM due to frequent seasonal chang…
Autonomous NavigationOutdoor LocalizationSimultaneous Localization and MappingVisual SLAMMOT Considering Multiple Motion Models
Simultaneous Localization and Mapping (SLAM) and Multi-Object Tracking (MOT) are pivotal tasks in the realm of autonomous driving, attracting considerable research attention. While SLAM endeavors to generate real-time ma…
Autonomous DrivingMulti-Object TrackingObject TrackingSimultaneous Localization and MappingMAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM
Simultaneous localization and mapping (SLAM) systems with novel view synthesis capabilities are widely used in computer vision, with applications in augmented reality, robotics, and autonomous driving. However, existing …
Autonomous DrivingNovel View SynthesisSimultaneous Localization and MappingPG-SLAM: Photo-realistic and Geometry-aware RGB-D SLAM in Dynamic Environments
Simultaneous localization and mapping (SLAM) has achieved impressive performance in static environments. However, SLAM in dynamic environments remains an open question. Many methods directly filter out dynamic objects, r…
Camera LocalizationSimultaneous Localization and MappingNear-Range Environmental Perception for Inland Waterway Vessels: A Comparative Study of LiDAR and Automotive FMCW RADAR Sensors
Advancing towards high automation and autonomous operations is crucial for the future of inland waterway transport (IWT) systems. These systems necessitate robust and precise onboard sensory technologies that can perceiv…
Simultaneous Localization and MappingOpen-Vocabulary Online Semantic Mapping for SLAM
This paper presents an Open-Vocabulary Online 3D semantic mapping pipeline, that we denote by its acronym OVO. Given a sequence of posed RGB-D frames, we detect and track 3D segments, which we describe using CLIP vectors…
SegmentationSemantic SLAMSimultaneous Localization and MappingInCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation
Simultaneous localization and mapping (SLAM) techniques can be used to navigate the visually impaired, but the development of robust SLAM solutions for crowded spaces is limited by the lack of realistic datasets. To addr…
NavigatePose EstimationSimultaneous Localization and MappingVisual OdometryMoving Horizon Estimation for Simultaneous Localization and Mapping with Robust Estimation Error Bounds
This paper presents a robust moving horizon estimation (MHE) approach with provable estimation error bounds for solving the simultaneous localization and mapping (SLAM) problem. We derive sufficient conditions to guarant…
Computational EfficiencySimultaneous Localization and MappingExploring Emerging Trends and Research Opportunities in Visual Place Recognition
Visual-based recognition, e.g., image classification, object detection, etc., is a long-standing challenge in computer vision and robotics communities. Concerning the roboticists, since the knowledge of the environment i…
image-classificationImage ClassificationLoop Closure Detectionobject-detection+3MBA-SLAM: Motion Blur Aware Dense Visual SLAM with Radiance Fields Representation
Emerging 3D scene representations, such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS), have demonstrated their effectiveness in Simultaneous Localization and Mapping (SLAM) for photo-realistic renderi…
3DGSCamera LocalizationNeRFSimultaneous Localization and MappingLCP-Fusion: A Neural Implicit SLAM with Enhanced Local Constraints and Computable Prior
Recently the dense Simultaneous Localization and Mapping (SLAM) based on neural implicit representation has shown impressive progress in hole filling and high-fidelity mapping. Nevertheless, existing methods either heavi…
Simultaneous Localization and MappingLGU-SLAM: Learnable Gaussian Uncertainty Matching with Deformable Correlation Sampling for Deep Visual SLAM
Deep visual Simultaneous Localization and Mapping (SLAM) techniques, e.g., DROID, have made significant advancements by leveraging deep visual odometry on dense flow fields. In general, they heavily rely on global visual…
Simultaneous Localization and MappingVisual OdometryNYC-Event-VPR: A Large-Scale High-Resolution Event-Based Visual Place Recognition Dataset in Dense Urban Environments
Visual place recognition (VPR) enables autonomous robots to identify previously visited locations, which contributes to tasks like simultaneous localization and mapping (SLAM). VPR faces challenges such as accurate image…
Simultaneous Localization and MappingVisual Place RecognitionQueensCAMP: an RGB-D dataset for robust Visual SLAM
Visual Simultaneous Localization and Mapping (VSLAM) is a fundamental technology for robotics applications. While VSLAM research has achieved significant advancements, its robustness under challenging situations, such as…
Simultaneous Localization and MappingV3D-SLAM: Robust RGB-D SLAM in Dynamic Environments with 3D Semantic Geometry Voting
Simultaneous localization and mapping (SLAM) in highly dynamic environments is challenging due to the correlation complexity between moving objects and the camera pose. Many methods have been proposed to deal with this p…
Simultaneous Localization and MappingAn Expeditious Spatial Mean Radiant Temperature Mapping Framework using Visual SLAM and Semantic Segmentation
Ensuring thermal comfort is essential for the well-being and productivity of individuals in built environments. Of the various thermal comfort indicators, the mean radiant temperature (MRT) is very challenging to measure…
object-detectionObject DetectionSegmentationSemantic Segmentation+1ESVO2: Direct Visual-Inertial Odometry with Stereo Event Cameras
Event-based visual odometry is a specific branch of visual Simultaneous Localization and Mapping (SLAM) techniques, which aims at solving tracking and mapping subproblems (typically in parallel), by exploiting the specia…
motion predictionPose TrackingSimultaneous Localization and MappingVisual OdometryEvenNICER-SLAM: Event-based Neural Implicit Encoding SLAM
The advancement of dense visual simultaneous localization and mapping (SLAM) has been greatly facilitated by the emergence of neural implicit representations. Neural implicit encoding SLAM, a typical example of which is …
Simultaneous Localization and MappingCaRtGS: Computational Alignment for Real-Time Gaussian Splatting SLAM
Simultaneous Localization and Mapping (SLAM) is pivotal in robotics, with photorealistic scene reconstruction emerging as a key challenge. To address this, we introduce Computational Alignment for Real-Time Gaussian Spla…
3DGSSimultaneous Localization and Mapping