SOTAVerified

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 501525 of 572 papers

TitleStatusHype
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth PredictionCode0
Real-Time Monocular Object-Model Aware Sparse SLAM0
Simultaneous Localization and Layout Model Selection in Manhattan Worlds0
Monocular Object and Plane SLAM in Structured Environments0
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset0
A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM0
Simultaneous Localization And Mapping with depth Prediction using Capsule Networks for UAVs0
Deep Visual Odometry Methods for Mobile Robots0
Towards an Embodied Semantic Fovea: Semantic 3D scene reconstruction from ego-centric eye-tracker videos0
Loosely-Coupled Semi-Direct Monocular SLAMCode1
Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization0
Semi-Dense 3D Reconstruction with a Stereo Event CameraCode1
ENG: End-to-end Neural Geometry for Robust Depth and Pose Estimation using CNNs0
Sensors, SLAM and Long-term Autonomy: A Review0
Sparse 3D Point-cloud Map Upsampling and Noise Removal as a vSLAM Post-processing Step: Experimental Evaluation0
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC0
RGB-Depth SLAM Review0
Visual Global Localization with a Hybrid WNN-CNN ApproachCode0
Position Estimation of Camera Based on Unsupervised Learning0
MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving ObjectsCode0
Structure Aware SLAM using Quadrics and Planes0
Closing the Calibration Loop: An Inside-out-tracking Paradigm for Augmented Reality in Orthopedic Surgery0
Vision-Aided Absolute Trajectory Estimation Using an Unsupervised Deep Network with Online Error Correction0
Global Pose Estimation with an Attention-based Recurrent Network0
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric ConstraintsCode0
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