Indoor Localization
37 papers with code • 0 benchmarks • 5 datasets
Indoor localization is a fundamental problem in indoor location-based applications.
Benchmarks
These leaderboards are used to track progress in Indoor Localization
Libraries
Use these libraries to find Indoor Localization models and implementations
NILoc
RISEdb
dichasus-cf0x
Latest papers
The LuViRA Dataset: Synchronized Vision, Radio, and Audio Sensors for Indoor Localization
The dataset includes color images, corresponding depth maps, inertial measurement unit (IMU) readings, channel response between a 5G massive multiple-input and multiple-output (MIMO) testbed and user equipment, audio recorded by 12 microphones, and accurate six degrees of freedom (6DOF) pose ground truth of 0. 5 mm.
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.
D-InLoc++: Indoor Localization in Dynamic Environments
Lastly, we describe and improve the mistakes caused by gradient-based comparison between synthetic and query images and publish a new pipeline for simulation of environments with movable objects from the Matterport scans.
LASER: LAtent SpacE Rendering for 2D Visual Localization
LASER introduces the concept of latent space rendering, where 2D pose hypotheses on the floor map are directly rendered into a geometrically-structured latent space by aggregating viewing ray features.
Neural Inertial Localization
This paper proposes the inertial localization problem, the task of estimating the absolute location from a sequence of inertial sensor measurements.
MTLDesc: Looking Wider to Describe Better
Limited by the locality of convolutional neural networks, most existing local features description methods only learn local descriptors with local information and lack awareness of global and surrounding spatial context.
Few-Shot Transfer Learning for Device-Free Fingerprinting Indoor Localization
BingJiaChen/few-shot-indoor-localization
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Device-free wireless indoor localization is an essential technology for the Internet of Things (IoT), and fingerprint-based methods are widely used.
WiFi-based Multi-task Sensing
zhang-xie/wimuse
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Then, for solving the imbalance issue, the extracted common feature in Wimuse is encouraged to get close to the counterpart features of the STS models.
Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec
Build2Vec utilizes the spatial data from the Building Information Model (BIM) and indoor localization in a real-world setting.
Multi-Static UWB Radar-based Passive Human Tracking Using COTS Devices
Due to its high delay resolution, the ultra-wideband (UWB) technique has been widely adopted for fine-grained indoor localization.
