Nothing Special   »   [go: up one dir, main page]

Alzantot et al., 2013 - Google Patents

Demonstrating CrowdInside: A system for the automatic construction of indoor floor-plans

Alzantot et al., 2013

View PDF
Document ID
8661581681094636106
Author
Alzantot M
Youssef M
Publication year
Publication venue
2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)

External Links

Snippet

The existence of a worldwide indoor floor-plans database can lead to significant growth in pervasive computing, especially for indoor environments. In this demonstration, we show CrowdInside: a crowdsourcing-based system for the automatic construction of buildings floor …
Continue reading at scholar.archive.org (PDF) (other versions)

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W4/00Mobile application services or facilities specially adapted for wireless communication networks
    • H04W4/02Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
    • H04W4/023Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W4/00Mobile application services or facilities specially adapted for wireless communication networks
    • H04W4/02Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
    • H04W4/04Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using association of physical positions and logical data in a dedicated environment, e.g. buildings or vehicles
    • H04W4/043Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using association of physical positions and logical data in a dedicated environment, e.g. buildings or vehicles using ambient awareness, e.g. involving buildings using floor or room numbers
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W4/00Mobile application services or facilities specially adapted for wireless communication networks
    • H04W4/02Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
    • H04W4/025Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using location based information parameters
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S5/00Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02Position-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

Similar Documents

Publication Publication Date Title
Alzantot et al. Crowdinside: Automatic construction of indoor floorplans
Soh et al. Adaptive deep learning-based air quality prediction model using the most relevant spatial-temporal relations
Sen et al. Grumon: Fast and accurate group monitoring for heterogeneous urban spaces
Abdelnasser et al. SemanticSLAM: Using environment landmarks for unsupervised indoor localization
Zhou et al. Understanding crowd behaviors in a social event by passive wifi sensing and data mining
US10219129B2 (en) Autonomous semantic labeling of physical locations
Kjærgaard et al. Detecting pedestrian flocks by fusion of multi-modal sensors in mobile phones
Zhou et al. Understanding urban human mobility through crowdsensed data
Milioris et al. Low-dimensional signal-strength fingerprint-based positioning in wireless LANs
Kang et al. Extracting places from traces of locations
Montoliu et al. Discovering human places of interest from multimodal mobile phone data
KR102112261B1 (en) Creating a wireless network access point model using clustering technology
Vhaduri et al. Hierarchical cooperative discovery of personal places from location traces
Elhamshary et al. SemSense: Automatic construction of semantic indoor floorplans
Martella et al. Leveraging proximity sensing to mine the behavior of museum visitors
Elhamshary et al. Justwalk: A crowdsourcing approach for the automatic construction of indoor floorplans
Raychoudhury et al. Crowd-pan-360: Crowdsourcing based context-aware panoramic map generation for smartphone users
Yu et al. Effective fingerprint extraction and positioning method based on crowdsourcing
Brščić et al. Changes in usage of an indoor public space: Analysis of one year of person tracking
Demrozi et al. An indoor localization system to detect areas causing the freezing of gait in Parkinsonians
Luo et al. iMap: Automatic inference of indoor semantics exploiting opportunistic smartphone sensing
GB2570853A (en) Identifying sites visited by a user device
Alzantot et al. Demonstrating CrowdInside: A system for the automatic construction of indoor floor-plans
Werner et al. Reliable trajectory classification using Wi-Fi signal strength in indoor scenarios
Ye et al. Seloc: Collect your location data using only a barometer sensor