Papers Simultaneous Localization and Mapping
“Simultaneous Localization and Mapping” 태그가 달린 논문 572편 · 필터 해제
Point-SLAM: Dense Neural Point Cloud-based SLAM
We propose a dense neural simultaneous localization and mapping (SLAM) approach for monocular RGBD input which anchors the features of a neural scene representation in a point cloud that is iteratively generated in an in…
Simultaneous Localization and MappingDSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames
Existing point cloud modeling datasets primarily express the modeling precision by pose or trajectory precision rather than the point cloud modeling effect itself. Under this demand, we first independently construct a se…
Point Cloud RegistrationSimultaneous Localization and MappingLSGDDN-LCD: An Appearance-based Loop Closure Detection using Local Superpixel Grid Descriptors and Incremental Dynamic Nodes
Loop Closure Detection (LCD) is an essential component of visual simultaneous localization and mapping (SLAM) systems. It enables the recognition of previously visited scenes to eliminate pose and map estimate drifts ari…
Loop Closure DetectionRetrievalSimultaneous Localization and MappingUSTC FLICAR: A Sensors Fusion Dataset of LiDAR-Inertial-Camera for Heavy-duty Autonomous Aerial Work Robots
In this paper, we present the USTC FLICAR Dataset, which is dedicated to the development of simultaneous localization and mapping and precise 3D reconstruction of the workspace for heavy-duty autonomous aerial work robot…
3D ReconstructionAutonomous DrivingSemantic SegmentationSimultaneous Localization and MappingLive image-based neurosurgical guidance and roadmap generation using unsupervised embedding
Advanced minimally invasive neurosurgery navigation relies mainly on Magnetic Resonance Imaging (MRI) guidance. MRI guidance, however, only provides pre-operative information in the majority of the cases. Once the surger…
object-detectionObject DetectionSimultaneous Localization and MappingPhotometric LiDAR and RGB-D Bundle Adjustment
The joint optimization of the sensor trajectory and 3D map is a crucial characteristic of Simultaneous Localization and Mapping (SLAM) systems. To achieve this, the gold standard is Bundle Adjustment (BA). Modern 3D LiDA…
Simultaneous Localization and MappingObject-based SLAM utilizing unambiguous pose parameters considering general symmetry types
Existence of symmetric objects, whose observation at different viewpoints can be identical, can deteriorate the performance of simultaneous localization and mapping(SLAM). This work proposes a system for robustly optimiz…
Object TrackingPose EstimationSimultaneous Localization and MappingMillimeter Wave Wireless Communication Assisted Three-Dimensional Simultaneous Localization and Mapping
In this paper, we study the three-dimensional (3D) simultaneous localization and mapping (SLAM) problem in complex outdoor and indoor environments based only on millimeter-wave (mmWave) wireless communication signals. Fi…
Simultaneous Localization and MappingVisual Perception System for Autonomous Driving
The recent surge in interest in autonomous driving stems from its rapidly developing capacity to enhance safety, efficiency, and convenience. A pivotal aspect of autonomous driving technology is its perceptual systems, w…
Autonomous DrivingCamera Localizationobject-detectionObject Detection+2Region Prediction for Efficient Robot Localization on Large Maps
Recognizing already explored places (a.k.a. place recognition) is a fundamental task in Simultaneous Localization and Mapping (SLAM) to enable robot relocalization and loop closure detection. In topological SLAM the reco…
Loop Closure DetectionPredictionSimultaneous Localization and MappingPrediction of SLAM ATE Using an Ensemble Learning Regression Model and 1-D Global Pooling of Data Characterization
Robustness and resilience of simultaneous localization and mapping (SLAM) are critical requirements for modern autonomous robotic systems. One of the essential steps to achieve robustness and resilience is the ability of…
Ensemble LearningregressionSimultaneous Localization and MappingSUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving
Automatic underground parking has attracted considerable attention as the scope of autonomous driving expands. The auto-vehicle is supposed to obtain the environmental information, track its location, and build a reliabl…
3D ReconstructionAutonomous DrivingDepth EstimationSemantic Segmentation+2FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking Datasets
Visibility underwater is challenging, and degrades as the distance between the subject and camera increases, making vision tasks in the forward-looking direction more difficult. We have collected underwater forward-looki…
3D ReconstructionDepth EstimationSimultaneous Localization and MappingVisual OdometryTask Space Control of Robot Manipulators based on Visual SLAM
This paper aims to address the open problem of designing a globally stable vision-based controller for robot manipulators. Accordingly, based on a hybrid mechanism, this paper proposes a novel task-space control law atta…
LEMMASimultaneous Localization and MappingNICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM
Neural implicit representations have recently become popular in simultaneous localization and mapping (SLAM), especially in dense visual SLAM. However, previous works in this direction either rely on RGB-D sensors, or re…
3D Scene ReconstructionNovel View SynthesisOptical Flow EstimationSimultaneous Localization and MappingHDPV-SLAM: Hybrid Depth-augmented Panoramic Visual SLAM for Mobile Mapping System with Tilted LiDAR and Panoramic Visual Camera
This paper proposes a novel visual simultaneous localization and mapping (SLAM) system called Hybrid Depth-augmented Panoramic Visual SLAM (HDPV-SLAM), that employs a panoramic camera and a tilted multi-beam LiDAR scanne…
Depth EstimationSimultaneous Localization and MappingReal-Time Simultaneous Localization and Mapping with LiDAR intensity
We propose a novel real-time LiDAR intensity image-based simultaneous localization and mapping method , which addresses the geometry degeneracy problem in unstructured environments. Traditional LiDAR-based front-end odom…
Simultaneous Localization and MappingImproving Autonomous Vehicle Mapping and Navigation in Work Zones Using Crowdsourcing Vehicle Trajectories
Prevalent solutions for Connected and Autonomous vehicle (CAV) mapping include high definition map (HD map) or real-time Simultaneous Localization and Mapping (SLAM). Both methods only rely on vehicle itself (onboard sen…
Simultaneous Localization and MappingDense RGB SLAM with Neural Implicit Maps
There is an emerging trend of using neural implicit functions for map representation in Simultaneous Localization and Mapping (SLAM). Some pioneer works have achieved encouraging results on RGB-D SLAM. In this paper, we …
DecoderSimultaneous Localization and MappingExtended FastSLAM Using Cellular Multipath Component Delays and Angular Information
Opportunistic navigation using cellular signals is appealing for scenarios where other navigation technologies face challenges. In this paper, long-term evolution (LTE) downlink signals from two neighboring commercial ba…
PositionSimultaneous Localization and Mapping