OBSTACLE CHARACTERIZATION IN A GEOCROWDSOURCED ACCESSIBILITY SYSTEM
| Autor: | Fabiana I. Paez, Han Qin, Ahmad O. Aburizaiza, Rebecca M. Rice, Matthew T. Rice |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
lcsh:Applied optics. Photonics
Computer science lcsh:T media_common.quotation_subject lcsh:TA1501-1820 Semantics lcsh:Technology Surface conditions Human–computer interaction lcsh:TA1-2040 Mapping system Data quality Obstacle Quality (business) Training program lcsh:Engineering (General). Civil engineering (General) Simulation media_common |
| Zdroj: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-3-W5, Pp 179-185 (2015) |
| ISSN: | 2194-9050 2194-9042 |
| Popis: | Transitory obstacles – random, short-lived and unpredictable objects – are difficult to capture in any traditional mapping system, yet they have significant negative impacts on the accessibility of mobility- and visually-impaired individuals. These transitory obstacles include sidewalk obstructions, construction detours, and poor surface conditions. To identify these obstacles and assist the navigation of mobility- and visually- impaired individuals, crowdsourced mapping applications have been developed to harvest and analyze the volunteered obstacles reports from local students, faculty, staff, and residents. In this paper, we introduce a training program designed and implemented for recruiting and motivating contributors to participate in our geocrowdsourced accessibility system, and explore the quality of geocrowdsourced data with a comparative analysis methodology. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|