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
Most implemented papers
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
In this work we address the problem of finding reliable pixel-level correspondences under difficult imaging conditions.
Low-effort place recognition with WiFi fingerprints using deep learning
kyeongsoo/indoor_localization
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WiFi fingerprinting is also used for mobile robots, as WiFi signals are usually available indoors and can provide rough initial position estimate or can be used together with other positioning systems.
A Scalable Deep Neural Network Architecture for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi Fingerprinting
kyeongsoo/indoor_localization
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Exploiting the hierarchical nature of the building/floor estimation and floor-level coordinates estimation of a location, we propose a new DNN architecture consisting of a stacked autoencoder for the reduction of feature space dimension and a feed-forward classifier for multi-label classification of building/floor/location, on which the multi-building and multi-floor indoor localization system based on Wi-Fi fingerprinting is built.
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis
We seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect to a large indoor 3D map.
Indoor Visual Positioning Aided by CNN-Based Image Retrieval: Training-Free, 3D Modeling-Free
The first one is CNN-based image retrieval phase, CNN features extracted by pre-trained deep convolutional neural networks (DCNNs) from images are utilized to compare the similarity, and the output of this part are the matched images of the target image.
Semi-supervised Deep Reinforcement Learning in Support of IoT and Smart City Services
nikola310/indoor-localization
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In this paper, we propose a semi-supervised deep reinforcement learning model that fits smart city applications as it consumes both labeled and unlabeled data to improve the performance and accuracy of the learning agent.
Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network
Indoor localization is one of the crucial enablers for deployment of service robots.
Can WiFi Estimate Person Pose?
geekfeiw/WiSPPN
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In this paper We try to answer this question by exploring the ability of WiFi on estimating single person pose.
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
mihaidusmanu/d2-net
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CVPR 2019
In this work we address the problem of finding reliable pixel-level correspondences under difficult imaging conditions.
Joint Activity Recognition and Indoor Localization With WiFi Fingerprints
geekfeiw/apl
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arXiv:1904.04964 Search... Help | Advanced Search 2019
In this paper, we propose a novel deep learning framework for joint activity recognition and indoor localization task using WiFi Channel State Information~(CSI) fingerprints.
