SOTAVerified

Indoor Localization

Indoor localization is a fundamental problem in indoor location-based applications.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 226–250 of 250 papers

TitleStatusHype
Hybrid Building/Floor Classification and Location Coordinates Regression Using A Single-Input and Multi-Output Deep Neural Network for Large-Scale Indoor Localization Based on Wi-Fi Fingerprinting—0
Semi-supervised Deep Reinforcement Learning in Support of IoT and Smart City ServicesCode0
Vision-based Semantic Mapping and Localization for Autonomous Indoor Parking—0
GOPA: Geometrical Optics Positioning Algorithm Using Spatial Color Coded LEDs (Extended Version)—0
Indoor Visual Positioning Aided by CNN-Based Image Retrieval: Training-Free, 3D Modeling-FreeCode0
Intrinsic Isometric Manifold Learning with Application to Localization—0
Hardware Implementation of A Non-RLL Soft-decoding Beacon-based Visible Light Communication Receiver—0
InLoc: Indoor Visual Localization with Dense Matching and View SynthesisCode0
IONet: Learning to Cure the Curse of Drift in Inertial Odometry—0
A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi FingerprintingCode0
Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization—0
Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC—0
Joint Semi-supervised RSS Dimensionality Reduction and Fingerprint Based Algorithm for Indoor Localization—0
Indoor Localization by Fusing a Group of Fingerprints Based on Random Forests—0
Indoor Localization Using Visible Light Via Fusion Of Multiple Classifiers—0
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization—0
Minimax-optimal semi-supervised regression on unknown manifolds—0
Low-effort place recognition with WiFi fingerprints using deep learningCode0
Structured Group Sparsity: A Novel Indoor WLAN Localization, Outlier Detection, and Radio Map Interpolation Scheme—0
Localization by Fusing a Group of Fingerprints via Multiple Antennas in Indoor Environment—0
Adaptive Sampling of RF Fingerprints for Fine-grained Indoor Localization—0
Descriptor Free Visual Indoor Localization With Line Segments—0
Machine Learning for Indoor Localization Using Mobile Phone-Based Sensors—0
Appearance-based indoor localization: A comparison of patch descriptor performance—0
Joint Indoor Localization and Radio Map Construction with Limited Deployment Load—0
Show:102550
← PrevPage 10 of 10Next →

No leaderboard results yet.