ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 179-185, 2015
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W5/179/2015/
doi:10.5194/isprsannals-II-3-W5-179-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
19 Aug 2015
OBSTACLE CHARACTERIZATION IN A GEOCROWDSOURCED ACCESSIBILITY SYSTEM
H. Qin1, A. O. Aburizaiza1,2, R. M. Rice1, F. Paez1, and M. T. Rice1 1Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA, USA
2King Abdulaziz University, Department of Geomatics, Jeddah, Saudi Arabia
Keywords: Transitory Obstacles, Accessibility, Geocrowdsourcing, Data Quality, Semantics Abstract. 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.
Conference paper (PDF, 1245 KB)


Citation: Qin, H., Aburizaiza, A. O., Rice, R. M., Paez, F., and Rice, M. T.: OBSTACLE CHARACTERIZATION IN A GEOCROWDSOURCED ACCESSIBILITY SYSTEM, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 179-185, doi:10.5194/isprsannals-II-3-W5-179-2015, 2015.

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