Papers Simultaneous Localization and Mapping
“Simultaneous Localization and Mapping” 태그가 달린 논문 572편 · 필터 해제
Visual-Inertial Monocular SLAM with Map Reuse
In recent years there have been excellent results in Visual-Inertial Odometry techniques, which aim to compute the incremental motion of the sensor with high accuracy and robustness. However these approaches lack the cap…
Simultaneous Localization and MappingSpatiotemporal Articulated Models for Dynamic SLAM
We propose an online spatiotemporal articulation model estimation framework that estimates both articulated structure as well as a temporal prediction model solely using passive observations. The resulting model can pred…
Simultaneous Localization and MappingVolume-based Semantic Labeling with Signed Distance Functions
Research works on the two topics of Semantic Segmentation and SLAM (Simultaneous Localization and Mapping) have been following separate tracks. Here, we link them quite tightly by delineating a category label fusion tech…
SegmentationSemantic SegmentationSimultaneous Localization and MappingDegenerate Motions in Multicamera Cluster SLAM with Non-overlapping Fields of View
An analysis of the relative motion and point feature model configurations leading to solution degeneracy is presented, for the case of a Simultaneous Localization and Mapping system using multicamera clusters with non-ov…
Simultaneous Localization and MappingRobust Large Scale Monocular Visual SLAM
This paper deals with the trajectory estimation of a monocular calibrated camera evolving in a large unknown environment, also known as monocular visual simultaneous localization and mapping. The contribution of this pap…
Simultaneous Localization and MappingScalable Structure From Motion for Densely Sampled Videos
Videos consisting of thousands of high resolution frames are challenging for existing structure from motion (SfM) and simultaneous-localization and mapping (SLAM) techniques. We present a new approach for simultaneously …
Camera Pose EstimationPose EstimationSimultaneous Localization and MappingConvolutional Neural Network-Based Image Representation for Visual Loop Closure Detection
Deep convolutional neural networks (CNN) have recently been shown in many computer vision and pattern recog- nition applications to outperform by a significant margin state- of-the-art solutions that use traditional hand…
CPUGPULoop Closure DetectionSimultaneous Localization and MappingAppearance-based indoor localization: A comparison of patch descriptor performance
Vision is one of the most important of the senses, and humans use it extensively during navigation. We evaluated different types of image and video frame descriptors that could be used to determine distinctive visual lan…
Indoor LocalizationPositionSimultaneous Localization and MappingORB-SLAM: a Versatile and Accurate Monocular SLAM System
This paper presents ORB-SLAM, a feature-based monocular SLAM system that operates in real time, in small and large, indoor and outdoor environments. The system is robust to severe motion clutter, allows wide baseline loo…
Simultaneous Localization and MappingSimultaneous Localization, Mapping, and Manipulation for Unsupervised Object Discovery
We present an unsupervised framework for simultaneous appearance-based object discovery, detection, tracking and reconstruction using RGBD cameras and a robot manipulator. The system performs dense 3D simultaneous locali…
Motion SegmentationObjectObject DiscoverySimultaneous Localization and MappingLOAM: Lidar Odometry and Mapping in Real-Time
We propose a real-time method for odometry and mapping using range measurements from a 2-axis lidar moving in 6-DOF. The problem is hard because the range measurements are received at different times, and errors in motio…
Motion EstimationSimultaneous Localization and MappingCLAM: Coupled Localization and Mapping with Efficient Outlier Handling
We describe a method to efficiently generate a model (map) of small-scale objects from video. The map encodes sparse geometry as well as coarse photometry, and could be used to initialize dense reconstruction schemes as …
object-detectionObject DetectionSimultaneous Localization and Mapping