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Pedestrian Navigation: Difference between revisions

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Also to support public transportation, the routes and the frequency or the timetable of the public transports must be supported making the database and the routing algorithms more complex.
Also to support public transportation, the routes and the frequency or the timetable of the public transports must be supported making the database and the routing algorithms more complex.


Currently the interface for these applications is supported by the graphical and audio interfaces of mobile phone but these applications would benefit significantly from the use of [[Location based Information Streams#Augmented reality|augmented reality]] technologies<ref>[http://occipital.com/blog/2009/02/28/the-future-of-pedestrian-navigation/ The future of pedestrian navigation], Occipital, February 2009</ref>.
Currently the interface for these applications is supported by the graphical and audio interfaces of mobile phone but these applications would benefit significantly from the use of [[Location based Information Streams#Augmented reality|augmented reality]] technologies<ref>[http://occipital.com/blog/2009/02/28/the-future-of-pedestrian-navigation/ The future of pedestrian navigation], Occipital, February 2009</ref>. In addition there are some ongoing studies aiming of creating simple indications that may help the users to easily understand how to reach a given destination. Two examples of those studies are the [[Step By Step Navigation#Direction Codes|Direction Codes]] and [[Step By Step Navigation#Location Codes|Location  Codes]].


== Application Examples ==
== Application Examples ==

Revision as of 15:44, 24 July 2013


ApplicationsApplications
Title Pedestrian Navigation
Author(s) Rui Barradas Pereira.
Level Basic
Year of Publication 2011
Logo GMV.png

Pedestrian Navigation consists in the navigation of pedestrians usually in urban environments. Pedestrian Navigation often offers pedestrian specific maps and multimodal navigation that combine walking directions with all available modes of transportation and even routing in indoor environments[1].

Pedestrian Navigation requires more complex maps and algorithms to provide an adequate navigation experience than road navigation which is a simpler, much more predictable and contained environment.

Application Architecture

Pedestrian Navigation applications are normally implemented using a standalone application running on a mobile device. This mobile device can be GNSS-enable phone with multimedia capabilities or a custom Personal Navigation Device.

Normally the map and database of these applications are local although in some case the local application is supported by online services that provide database updates, additional dynamic data (such as weather) or even parts of the navigation functionality.

The process normally followed by these applications is:

  • The user configures the application by defining a destination. Restrictions may be applied on how to get to the destination (e.g. use of public transport).
  • The application will guide the user using visual and audio information to its destination.
  • If the user diverts from the suggested route the application will recalculate the route.

Variants to this architecture are:

  • The more basic pedestrian navigation applications support only outdoor pedestrian navigation not supporting public transportation.
  • These applications can be combined with Location based Information Streams to provide additional information to the user.

These applications are considered non-critical applications.

The precision required by these applications is medium. The current accuracy provided by civilian GPS is enough in most situations but not in all since pedestrians are more often in situations with less visible satellites. To support indoor navigation, these applications often require the use of inertial sensors or other indoor localization techniques[2][3].

Application Characterization

Pedestrian Navigation is often wrongly seen has a mode of Road Navigation. But the fact is that the environments where pedestrians move around are generally more difficult than the road environment. Pedestrians normally move in sidewalks where the buildings shadow the GNSS signals, in tree shadowed environments and in indoor three-dimensional environments.

Google Maps

At present, pedestrian navigation based on GNSS (and even with the use of inertial systems) is often not accurate enough to guide pedestrians around cities. When few satellites are in view because of tall buildings, positioning accuracy reaches 30 to 40 m[4][5].

In simplified pedestrian applications the maps used for road navigation can be reused but this limits the degree of functionality that the application can provide. Pedestrians move in the sidewalks, not in the roads and can move more freely in the environment since they can use pedestrian streets or pathways and go across open areas.

The mapping of indoor environments is also much more complex and dynamic requiring tridimensional mapping that is not generally required for road applications.

Also to support public transportation, the routes and the frequency or the timetable of the public transports must be supported making the database and the routing algorithms more complex.

Currently the interface for these applications is supported by the graphical and audio interfaces of mobile phone but these applications would benefit significantly from the use of augmented reality technologies[6]. In addition there are some ongoing studies aiming of creating simple indications that may help the users to easily understand how to reach a given destination. Two examples of those studies are the Direction Codes and Location Codes.

Application Examples

Applications and services that fit in this category are[7]:

Notes


References

  1. ^ Mobile Navigation Services Taking Off In North America And Europe, GPS Daily, October 2008
  2. ^ Pedestrian Navigation Hybridization of MEMS and Assisted GPS, Inside GNSS, January 2007
  3. ^ DINGPOS: A Hybrid Indoor Navigation Platform for GPS and GALILEO, J. A. López-Salcedo (UAB) , Y. Capelle (TAS-F), M. Toledo (GMV), G. Seco (UAB), J. López Vicario (UAB), D. Kubrak (TAS-F), M. Monnerat (TAS-F), A. Mark (GMV), D. Jiménez (ESA), ION GNSS 2008
  4. ^ “Analysis of the Constellations needed for a Professional Receiver Application”, T. Ferreira (GMV), T. Carvalho (GMV), 4th ESA Workshop on Satellite Navigation User Equipment Technologies
  5. ^ Space technology to help the blind, ESA Portal, December 2002
  6. ^ The future of pedestrian navigation, Occipital, February 2009
  7. ^ Will pedestrian navigation take off?, EE Times Asia, September 2008