SOTAVerified

Indoor Localization

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 21–30 of 250 papers

TitleStatusHype
OpenCSI: An Open-Source Dataset for Indoor Localization Using CSI-Based FingerprintingCode1
Learning-based Bias Correction for Time Difference of Arrival Ultra-wideband Localization of Resource-constrained Mobile RobotsCode1
RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor LocalizationCode1
Adaptive Channel Estimation based on Deep LearningCode1
Zero-Shot Multi-View Indoor Localization via Graph Location NetworksCode1
Memoryless Techniques and Wireless Technologies for Indoor Localization with the Internet of ThingsCode1
D2-Net: A Trainable CNN for Joint Detection and Description of Local FeaturesCode1
Robot Localization in Floor Plans Using a Room Layout Edge Extraction NetworkCode1
Privacy-Preserving Multi-Stage Fall Detection Framework with Semi-supervised Federated Learning and Robotic Vision Confirmation—0
A Privacy-Preserving Indoor Localization System based on Hierarchical Federated Learning—0
Show:102550
← PrevPage 3 of 25Next →

No leaderboard results yet.