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Simultaneous Localization and Mapping

Simultaneous localization and mapping (SLAM) is the task of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.

( Image credit: ORB-SLAM2 )

Papers

Showing 201225 of 572 papers

TitleStatusHype
KP2Dtiny: Quantized Neural Keypoint Detection and Description on the EdgeCode0
PEBO-SLAM: Observer design for visual inertial SLAM with convergence guarantees0
UncLe-SLAM: Uncertainty Learning for Dense Neural SLAMCode1
Investigation of the Challenges of Underwater-Visual-Monocular-SLAM0
iSLAM: Imperative SLAMCode1
Volume-DROID: A Real-Time Implementation of Volumetric Mapping with DROID-SLAMCode1
How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers0
Towards View-invariant and Accurate Loop Detection Based on Scene Graph0
FEDORA: Flying Event Dataset fOr Reactive behAvior0
A Fast and Robust Camera-IMU Online Calibration Method For Localization System0
Rotation Synchronization via Deep Matrix FactorizationCode0
Design, Implementation and Evaluation of an External Pose-Tracking System for Underwater Cameras0
Set-Type Belief Propagation with Applications to Poisson Multi-Bernoulli SLAM0
EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors0
Neural Implicit Dense Semantic SLAM0
Event-based Simultaneous Localization and Mapping: A Comprehensive SurveyCode1
Range-Only Bearing Estimator for Localization and Mapping0
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
Multipath-based SLAM for Non-Ideal Reflective Surfaces Exploiting Multiple-Measurement Data Association0
Loop Closure Detection Based on Object-level Spatial Layout and Semantic ConsistencyCode1
Point-SLAM: Dense Neural Point Cloud-based SLAMCode2
DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames0
LSGDDN-LCD: An Appearance-based Loop Closure Detection using Local Superpixel Grid Descriptors and Incremental Dynamic Nodes0
USTC FLICAR: A Sensors Fusion Dataset of LiDAR-Inertial-Camera for Heavy-duty Autonomous Aerial Work Robots0
Live image-based neurosurgical guidance and roadmap generation using unsupervised embedding0
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