Although the issue of limited mobility affects a large portion of the population, current navigation systems working with roadway-based geodatabases are designed primarily for cars and therefore cannot efficiently help. Usage of the professionally created sidewalk-based geodatabase is a solution. However, the professional geographical “on-site reconnaissance” is labor demanding. In this poster, we report on results of preliminary research focused on a design of the gamified collection of accessibility attributes by non-expert crowd, which will reduce the data collection cost. Preliminary results suggest the feasibility of the approach supported by a proper guidance of non-experts and creativity of achieving precise measurements.
CITATION STYLE
Riganova, M., Balata, J., & Mikovec, Z. (2017). Crowdsourcing of accessibility attributes on sidewalk-based geodatabase. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10516 LNCS, pp. 436–440). Springer Verlag. https://doi.org/10.1007/978-3-319-68059-0_46
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