2015
DOI: 10.1016/j.apgeog.2015.03.004
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An object-oriented data model built for blind navigation in outdoor space

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Cited by 21 publications
(15 citation statements)
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References 34 publications
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“…Beale et al (2006), Laakso et al (2013); Rice et al (2013aRice et al ( , 2013bRice et al ( , 2014 and the Pinhel Accessibility Platform (2014) offer useful examples of formal approaches for modeling pedestrian infrastructure for accessibility. Chen et al (2015) synthesize many of the best ideas from previous research in their objectoriented data model for blind navigation, including the complementary work of Laakso et al (2011Laakso et al ( , 2013. While our approach uses a data model, the crowdsourcing methodology described in this paper requires a less structured and more flexible approach for collecting transient obstacle and infrastructure data.…”
Section: Permanent and Transient Navigation Obstaclesmentioning
confidence: 95%
See 1 more Smart Citation
“…Beale et al (2006), Laakso et al (2013); Rice et al (2013aRice et al ( , 2013bRice et al ( , 2014 and the Pinhel Accessibility Platform (2014) offer useful examples of formal approaches for modeling pedestrian infrastructure for accessibility. Chen et al (2015) synthesize many of the best ideas from previous research in their objectoriented data model for blind navigation, including the complementary work of Laakso et al (2011Laakso et al ( , 2013. While our approach uses a data model, the crowdsourcing methodology described in this paper requires a less structured and more flexible approach for collecting transient obstacle and infrastructure data.…”
Section: Permanent and Transient Navigation Obstaclesmentioning
confidence: 95%
“…Rice et al (2011) and more recently, Karimi et al (2014) have adopted this approach with success. Laakso et al (2013) and Chen et al (2015) adopt approaches for accessibility through data modeling that allow for the definition of obstacles that can be traversed or avoided due to their minor nature. In the GMU Geocrowdsourcing Testbed, we have a moderator-generated process for tagging obstacles as being relevant to visually-impaired individuals and blind individuals, mobility-impaired individuals, or both.…”
Section: Pedestrian Network Coveragementioning
confidence: 99%
“…As reviewed in Rice et al (2013aRice et al ( , 2013b 89,90 and Qin et al (2015a) 91 , capturing and documenting obstacle information on pedestrian pathways can be difficult and time consuming, depending on the design of the system and data model specifications. Formal approaches for modeling accessibility obstacles, such as those proposed by Laakso et al (2013) 92 and Chen et al (2015) 93 are thorough, but not well adapted for transient events. A crowdsourcing approach with a relatively less structured, flexible workflow for collecting transient obstacle and infrastructure data has shown to be effective in our local area (Paez 2014, Rice 2015 94,95 .…”
Section: Obstacle Avoidance Routing In Pedestrian Networkmentioning
confidence: 99%
“…With the increasing development of data-processing and information discovery technologies, the ability to present spatial entities and geographic phenomena more dynamically and efficiently is required (Graham and Shelton 2013, Bandrova et al 2014, Chen et al 2015. Rendering map elements more efficiently is an important research target for satisfying both the visualization requirements and the demand for 2D/3D integrated information acquisition (Konecny 2011, Semmo et al 2012, Dübel et al 2014, Roth 2013.…”
Section: Introductionmentioning
confidence: 99%