[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Yao et al., 2022 - Google Patents

A magnetic interference detection-based fusion heading estimation method for pedestrian dead reckoning positioning

Yao et al., 2022

Document ID
4894659332419496470
Author
Yao Y
Liu Y
Zhou Z
Xu X
Publication year
Publication venue
IEEE Sensors Journal

External Links

Snippet

In indoor positioning, smartphone-based pedestrian dead reckoning (PDR) is a popular method. It does not require any predeployed infrastructure and can provide real-time, continuous position estimation with a known initial position. However, magnetometer sensor …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • 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
    • G01C21/10—Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration
    • G01C21/12—Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
    • G01C21/16—Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
    • 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
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/26—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
    • G01C21/28—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network with correlation of data from several navigational instruments
    • G01C21/30—Map- or contour-matching
    • 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
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00664—Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
    • G06K9/00684—Categorising the entire scene, e.g. birthday party or wedding scene
    • G06K9/00697—Outdoor scenes
    • G06K9/00704—Urban scenes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C17/00—Compasses; Devices for ascertaining true or magnetic north for navigation or surveying purposes
    • G01C17/38—Testing, calibrating, or compensating of compasses
    • 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
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • 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
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • 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
    • G06K9/6288—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
    • G06K9/629—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion of extracted features
    • 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
    • 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
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • 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
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run

Similar Documents

Publication Publication Date Title
Pei et al. Optimal heading estimation based multidimensional particle filter for pedestrian indoor positioning
Poulose et al. An indoor position-estimation algorithm using smartphone IMU sensor data
CN109298389B (en) Indoor pedestrian combination pose estimation method based on multi-particle swarm optimization
Kothari et al. Robust indoor localization on a commercial smart phone
CN107396321B (en) Unsupervised indoor positioning method based on mobile phone sensor and iBeacon
CN104180805A (en) Smart phone-based indoor pedestrian positioning and tracking method
CN110631588B (en) Unmanned aerial vehicle visual navigation positioning method based on RBF network
CN111595344B (en) Multi-posture downlink pedestrian dead reckoning method based on map information assistance
Yao et al. A magnetic interference detection-based fusion heading estimation method for pedestrian dead reckoning positioning
Wang et al. Tightly coupled integration of pedestrian dead reckoning and Bluetooth based on filter and optimizer
Deng et al. Heading estimation fusing inertial sensors and landmarks for indoor navigation using a smartphone in the pocket
Qin et al. Compensating the NLoS occlusion errors of UWB for pedestrian localization with MIMU
Gong et al. An enhanced indoor positioning solution using dynamic radio fingerprinting spatial context recognition
CN114323008B (en) Machine learning classification-based integrated course angle estimation method and system
Han et al. An indoor positioning algorithm based on Wi-Fi fingerprint and inertial navigation system
Yang et al. Real-time infrastructureless indoor tracking for pedestrian using a smartphone
Almansoub et al. Multi-scale vehicle localization in underground parking lots by integration of dead reckoning, Wi-Fi and vision
CN117848342A (en) Positioning method for optimizing LSTM neural network based on particle swarm optimization
Liu et al. Collaborative radio SLAM for multiple robots based on WiFi fingerprint similarity
Zhan et al. Indoor location method of WiFi/PDR fusion based on extended Kalman filter fusion
Zhou et al. Indoor route and location inference using smartphone IMU sensors
CN114674317A (en) Self-correcting dead reckoning system and method based on activity recognition and fusion filtering
Alitaleshi et al. Indoor Pedestrian Trajectory Reconstruction Using Spatial–Temporal Error Correction and Dynamic Time Warping-Based Path Matching for Fingerprints Map Creation
Xu et al. An Adaptive Multi-Source Data Fusion Indoor Positioning Method Based on Collaborative Wi-Fi Fingerprinting and PDR Techniques
Saadatzadeh et al. Pedestrian dead reckoning using smartphones sensors: an efficient indoor positioning system in complex buildings of smart cities