short-paper

PINwI: pedestrian indoor navigation without infrastructure

Authors:

Markus Löchtefeld,

Sven Gehring,

Johannes Schöning,

Antonio KrügerAuthors Info & Claims

NordiCHI '10: Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries

Pages 731 - 734

https://doi.org/10.1145/1868914.1869016

Published: 16 October 2010 Publication History

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Abstract

Navigation in larger unfamiliar buildings like town halls, airports, shopping malls or other public indoor locations is often difficult for humans. Due to the high amount of infrastructure needed for indoor positioning, just a few navigation services for indoor environments exist. Therefore in many of these buildings 'YOU-ARE-HERE' (YAH) maps are provided, often located at the entrance or other key places, to facilitate orientation and navigation within the building, but they have the disadvantages of being stationary. In this paper, we try to overcome these problems by presenting PINwI (Pedestrian Indoor Navigation without Infrastructure), an application that allows the user of a mobile camera device with integrated compass and accelerometer to utilize a photo of such an indoor YAH-map to navigate through the corresponding building. Using a dead reckoning approach, we enrich stationary analog YAH-maps with basic location functionality and turn them into a digital and dynamic medium that can help decision making while taking turns or estimating distances.

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Cited By

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Winter STomko MVasardani MRichter KKhoshelham KKalantari M(2019)Infrastructure-Independent Indoor Localization and NavigationACM Computing Surveys10.1145/332151652:3(1-24)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3321516
Löchtefeld MBrewster SFitzpatrick GCox AKostakos V(2019)DetourNavigator - Using Google Location History to Generate Unfamiliar Personal RoutesExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3313047(1-6)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290607.3313047
Lander CWiehr FHerbig NKrüger ALöchtefeld MMark GFussell SLampe Cschraefel mHourcade JAppert CWigdor D(2017)Inferring Landmarks for Pedestrian Navigation from Mobile Eye-Tracking Data and Google Street ViewProceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems10.1145/3027063.3053201(2721-2729)Online publication date: 6-May-2017
https://dl.acm.org/doi/10.1145/3027063.3053201
Show More Cited By

Index Terms

PINwI: pedestrian indoor navigation without infrastructure
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
      1. Virtual reality
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Mixed / augmented reality
      2. Virtual reality

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Published In

NordiCHI '10: Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries

October 2010

889 pages

ISBN:9781605589343

DOI:10.1145/1868914

General Chairs:
Ebba Þóra Hvannberg
University of Iceland, Iceland
,
Marta Kristín Lárusdóttir
Reykjavik University, Iceland
,
Program Chairs:
Ann Blandford
University College London
,
Jan Gulliksen
Royal Institute of Technology, Sweden

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

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Published: 16 October 2010

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NordiCHI '10: 6th Nordic Conference on Human-Computer Interaction

October 16 - 20, 2010

Reykjavik, Iceland

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Winter STomko MVasardani MRichter KKhoshelham KKalantari M(2019)Infrastructure-Independent Indoor Localization and NavigationACM Computing Surveys10.1145/332151652:3(1-24)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3321516
Löchtefeld MBrewster SFitzpatrick GCox AKostakos V(2019)DetourNavigator - Using Google Location History to Generate Unfamiliar Personal RoutesExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3313047(1-6)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290607.3313047
Lander CWiehr FHerbig NKrüger ALöchtefeld MMark GFussell SLampe Cschraefel mHourcade JAppert CWigdor D(2017)Inferring Landmarks for Pedestrian Navigation from Mobile Eye-Tracking Data and Google Street ViewProceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems10.1145/3027063.3053201(2721-2729)Online publication date: 6-May-2017
https://dl.acm.org/doi/10.1145/3027063.3053201
Roy QPerrault SZhao SDavis RPattena Vaniyar AVechev VLee YMisra AMark GFussell SLampe Cschraefel mHourcade JAppert CWigdor D(2017)Follow-My-LeadProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025976(5703-5715)Online publication date: 2-May-2017
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Stylianou G(2015)Relative indoor spatial tracking and navigationInternational Journal of Wireless and Mobile Computing10.1504/IJWMC.2015.0716709:1(8-26)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1504/IJWMC.2015.071670
Stockx THecht BSchöning JHuang YSchneider MGertz MKrumm JSankaranarayanan J(2014)SubwayPSProceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/2666310.2666396(93-102)Online publication date: 4-Nov-2014
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Daiber FGehring SLöchtefeld MKrüger ARukzio E(2012)TouchPosingProceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia10.1145/2406367.2406377(1-4)Online publication date: 4-Dec-2012
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Mulloni ASeichter HSchmalstieg D(2012)Indoor navigation with mixed reality world-in-miniature views and sparse localization on mobile devicesProceedings of the International Working Conference on Advanced Visual Interfaces10.1145/2254556.2254595(212-215)Online publication date: 21-May-2012
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Mulloni ASeichter HSchmalstieg DBylund MJuhlin OFernaeus Y(2011)Handheld augmented reality indoor navigation with activity-based instructionsProceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services10.1145/2037373.2037406(211-220)Online publication date: 30-Aug-2011
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Recommendations

A Polygonal Method for Ranging-Based Localization in an Indoor Wireless Sensor Network

Seamless outdoor/indoor navigation with WIFI/GPS aided low cost Inertial Navigation System

SALMA: UWB-based Single-Anchor Localization System using Multipath Assistance

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