Indoor Positioning Resources Document
This blog contains the papers I have read for my summer research: Applying machine learning to indoor fingerprinting positioning, especially using deep learning.
Please skip this part if you don’t speak chinese.
- A Survey of Indoor Localization Systems and Technologies
- Overview of indoor positioning system technologies
- Indoor Fingerprint Positioning Based on Wi-Fi: An Overview
Crowdsourced WiFi database and benchmark software for indoor positioning
Long-Trem WiFi Fingerprinting Dataset for Reserach on Robust Indoor Poitioning
Low-effort place recognition with WiFi fingerprints using deep learning
This article use deep neural networks and Autoencoders to do the floor Classification, but no positioning prediction. I have done the positioning part, get a good result.
code of this paper: github
A Deep Learning Approach to FingerprintingIndoor Localization Solutions
It use two methods to solve the small dataset problem. one is using data augmentation. The sequence of the APs will change(very doubt at this method) ; Anther method is to use transfer learning, only similar dataset can help.
Large-Scale Location-Aware Services in Access: Hierarchical Building/Floor Classification and Location Estimation Using Wi-Fi Fingerprinting Based on Deep Neural Networks
get more advance based on paper 1. Not only floor detection, but also positioning estimation.
Indoor Fingerprint Positioning Based on Wi-Fi: An Overview
This is an overview. Two keywords: fingerprint, WiFi
Learning the Localization Function: Machine Learning Approach to Fingerprinting Localization
basically the same as paper 2.
CNN based Indoor Localization using RSS Time-Series
using CNN to deal with long-term(time—series) dataset
Clustering benefits in mobile-centric WiFi positioning in multi-floor buildings
cluster method for our dataset1
Comprehensive analysis of distance and similarity measures for Wi-Fi fingerprinting indoor positioning systems
The UJI kNN algorithm for dataset.
This article mainly concentrates on the Wi-Fi Indoor positioning systems based on fingerprinting and k-NN. It mentions Non-heard data processing, data preprocessing, and all kinds of distance calculating.
- Adaptive K-nearest neighbour algorithm for WiFi fingerprint positioning
This article focus on how to improve K nearest neighbour algorithm
Method for yielding a database of locationfingerprints in WLAN
using kriging to generate fingerprint data
kriging tutoril(Chinese version)
- Dealing with Insufficient Location Fingerprints in Wi-Fi Based Indoor Location Fingerprinting