Indoor Localization
35 papers with code • 0 benchmarks • 5 datasets
Indoor localization is a fundamental problem in indoor location-based applications.
Benchmarks
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Libraries
Use these libraries to find Indoor Localization models and implementations
NILoc
RISEdb
dichasus-cf0x
Latest papers
SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments
In this paper, we present SPVLoc, a global indoor localization method that accurately determines the six-dimensional (6D) camera pose of a query image and requires minimal scene-specific prior knowledge and no scene-specific training.
Representing 3D sparse map points and lines for camera relocalization
Recent advancements in visual localization and mapping have demonstrated considerable success in integrating point and line features.
Angle of Arrival and Centimeter Distance Estimation on a Smart UWB Sensor Node
Accurate and low-power indoor localization is becoming more and more of a necessity to empower novel consumer and industrial applications.
STELLAR: Siamese Multi-Headed Attention Neural Networks for Overcoming Temporal Variations and Device Heterogeneity with Indoor Localization
However, the challenges of device heterogeneity and temporal variations have hindered its widespread adoption and accuracy.
FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals
To build a prediction model to identify the floor number of a new RF signal upon its measurement, conventional approaches using the crowdsourced RF signals assume that at least few labeled signal samples are available on each floor.
FedHIL: Heterogeneity Resilient Federated Learning for Robust Indoor Localization with Mobile Devices
By deploying machine learning (ML) based indoor localization frameworks on their mobile devices, users can localize themselves in a variety of indoor and subterranean environments.
A Feasibility Study on Indoor Localization and Multi-person Tracking Using Sparsely Distributed Camera Network with Edge Computing
To this end, we deployed an end-to-end edge computing pipeline that utilizes multiple cameras to achieve localization, body orientation estimation and tracking of multiple individuals within a large therapeutic space spanning $1700m^2$, all while maintaining a strong focus on preserving privacy.
Constructing Metric-Semantic Maps using Floor Plan Priors for Long-Term Indoor Localization
We exploit 3D object detections from monocular RGB frames for both, the object-based map construction, and for globally localizing in the constructed map.
A Local Machine Learning Approach for Fingerprint-based Indoor Localization
The primary contribution of this paper is to introduce a novel local ML solution for indoor localization problems.
Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach
jeija/doppler-effect-channelcharting
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While CC has shown promising results in modelling the geometry of the radio environment, a deeper insight into CC for localization using multi-anchor large-bandwidth measurements is still pending.
