Towards a Landmark-Based Pedestrian Navigation Service Using OSM Data

Abstract

With the advent of location-aware smartphones, the desire for pedestrian-based navigation services has increased. Unlike car-based services where instructions generally are comprised of distance and road names, pedestrian instructions should instead focus on the delivery of landmarks to aid in navigation. OpenStreetMap (OSM) contains a vast amount of geospatial information that can be tapped into for identifying these landmark features. This paper presents a prototype navigation service that extracts landmarks suitable for navigation instructions from the OSM dataset based on several metrics. This is coupled with a short comparison of landmark availability within OSM, differences in routes between locations with different levels of OSM completeness and a short evaluation of the suitability of the landmarks provided by the prototype. Landmark extraction is performed on a server-side service, with the instructions being delivered to a pedestrian navigation application running on an Android mobile device.

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• http://dx.doi.org/10.3390/ijgi6030064 under the license https://creativecommons.org/licenses/by

• https://www.mdpi.com/2220-9964/6/3/64/pdf under the license https://creativecommons.org/licenses/by/4.0

• http://www.mdpi.com/2220-9964/6/3/64,

https://doaj.org/toc/2220-9964 under the license cc-by

• http://www.mdpi.com/2220-9964/6/3/64/pdf,

http://dx.doi.org/10.3390/ijgi6030064

• https://www.mdpi.com/2220-9964/6/3/64/pdf,

https://www.mdpi.com/2220-9964/6/3/64/htm,

https://dblp.uni-trier.de/db/journals/ijgi/ijgi6.html#RousellZ17,

http://ui.adsabs.harvard.edu/abs/2017IJGI....6...64R/abstract,

https://doi.org/10.3390/ijgi6030064,

https://pubag.nal.usda.gov/catalog/6491327,

http://www.mdpi.com/2220-9964/6/3/64/pdf,

https://core.ac.uk/display/90340420,

https://academic.microsoft.com/#/detail/2592281192 under the license https://creativecommons.org/licenses/by/4.0/