Xingli et al., 2018 - Google Patents
Indoor positioning technology based on deep neural networksXingli et al., 2018
- Document ID
- 868874550265864730
- Author
- Xingli G
- Yaning L
- Ruihui Z
- et al.
- Publication year
- Publication venue
- 2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS)
External Links
Snippet
With the increasing demand for location based services, indoor positioning technology has become one of the most attractive research fields. Because the large indoor scenarios exist a large number of Wi-Fi signal, the researchers make it possible to use the existing …
- 238000005516 engineering process 0 title abstract description 10
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
- G01S5/0252—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves by comparing measured values with pre-stored measured or simulated values
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
- G01S5/0205—Details
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
- G01S5/0284—Relative positioning
- G01S5/0289—Relative positioning of multiple transceivers, e.g. in ad hoc networks
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S11/00—Systems for determining distance or velocity not using reflection or reradiation
- G01S11/02—Systems for determining distance or velocity not using reflection or reradiation using radio waves
- G01S11/06—Systems for determining distance or velocity not using reflection or reradiation using radio waves using intensity measurements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
- G01C21/20—Instruments for performing navigational calculations
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S3/00—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
- G01S3/02—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using radio waves
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Li et al. | Deep reinforcement learning (DRL): Another perspective for unsupervised wireless localization | |
Shao et al. | Indoor positioning based on fingerprint-image and deep learning | |
Song et al. | A novel convolutional neural network based indoor localization framework with WiFi fingerprinting | |
Jung et al. | Unsupervised learning for crowdsourced indoor localization in wireless networks | |
Zhao et al. | Crowdsourcing and multisource fusion-based fingerprint sensing in smartphone localization | |
Zhang et al. | A comprehensive study of bluetooth fingerprinting-based algorithms for localization | |
Zhao et al. | GraphIPS: Calibration-free and map-free indoor positioning using smartphone crowdsourced data | |
Zhou et al. | Indoor fingerprint localization based on fuzzy c-means clustering | |
Xingli et al. | Indoor positioning technology based on deep neural networks | |
Liu et al. | Smallest enclosing circle-based fingerprint clustering and modified-WKNN matching algorithm for indoor positioning | |
Huang et al. | RSS-based indoor positioning based on multi-dimensional kernel modeling and weighted average tracking | |
Xue et al. | DeepTAL: Deep learning for TDOA-based asynchronous localization security with measurement error and missing data | |
Liu et al. | Geomagnetism-based indoor navigation by offloading strategy in NB-IoT | |
Shao et al. | Floor identification in large-scale environments with wi-fi autonomous block models | |
Shit et al. | AI-enabled fingerprinting and crowdsource-based vehicle localization for resilient and safe transportation systems | |
Zhong et al. | WiFi indoor localization based on K-means | |
Wang et al. | Deep neural network‐based Wi‐Fi/pedestrian dead reckoning indoor positioning system using adaptive robust factor graph model | |
Yan et al. | An ELM-based semi-supervised indoor localization technique with clustering analysis and feature extraction | |
Xujian et al. | WIFI indoor positioning algorithm based on improved Kalman filtering | |
Ye et al. | Local HMM for indoor positioning based on fingerprinting and displacement ranging | |
Wang | A study of WiFi-aided magnetic matching indoor positioning algorithm | |
Zhao et al. | An efficient radio map updating algorithm based on K-means and Gaussian process regression | |
Wang et al. | Optimal target tracking based on dynamic fingerprint in indoor wireless network | |
Wang et al. | Fusion algorithm of WiFi and IMU for indoor positioning | |
Ai et al. | Robust low-latency indoor localization using Bluetooth low energy |