A Visibility and Spatial Constraint-Based Approach for Geopositioning

Yaouanc, Jean-Marie Le; Saux, Éric; Claramunt, Christophe

doi:10.1007/978-3-642-15300-6_11

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…Touya et al [ 39 ] present an ontology of spatial relations and further show how spatial relations could be modeled for improving the consistency of datasets, as well as support automated processes. In another study [ 40 ], semantics of data coupled with spatial relation reasoning has been used to support and improve geo-positioning. For the OSM dataset, Corcoran et al [ 41 ] propose a high level conceptual model of spatial relations.…”

Section: Related Studiesmentioning

confidence: 99%

A Rule-Based Spatial Reasoning Approach for OpenStreetMap Data Quality Enrichment; Case Study of Routing and Navigation

Mobasheri

2017

Sensors

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Finding relevant geospatial information is increasingly critical because of the growing volume of geospatial data available within the emerging “Big Data” era. Users are expecting that the availability of massive datasets will create more opportunities to uncover hidden information and answer more complex queries. This is especially the case with routing and navigation services where the ability to retrieve points of interest and landmarks make the routing service personalized, precise, and relevant. In this paper, we propose a new geospatial information approach that enables the retrieval of implicit information, i.e., geospatial entities that do not exist explicitly in the available source. We present an information broker that uses a rule-based spatial reasoning algorithm to detect topological relations. The information broker is embedded into a framework where annotations and mappings between OpenStreetMap data attributes and external resources, such as taxonomies, support the enrichment of queries to improve the ability of the system to retrieve information. Our method is tested with two case studies that leads to enriching the completeness of OpenStreetMap data with footway crossing points-of-interests as well as building entrances for routing and navigation purposes. It is concluded that the proposed approach can uncover implicit entities and contribute to extract required information from the existing datasets.

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Section: Related Studiesmentioning

confidence: 99%

A Rule-Based Spatial Reasoning Approach for OpenStreetMap Data Quality Enrichment; Case Study of Routing and Navigation

Mobasheri

2017

Sensors

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“…A location based service (LBS), such as a virtual city guide application [4], may direct the user's attention to a specific building using a narrative which singles it out in the current view, simulating a natural language description. Emergency services would also benefit from access to a building color database when attempting to locate people based on a description of their surroundings [34].…”

Section: Introductionmentioning

confidence: 99%

A combined GIS and stereo vision approach to identify building pixels in images and determine appropriate color terms

Bartie

Reitsma

Mills

2011

JOSIS

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Color information is a useful attribute to include in a building's description to assist the listener in identifying the intended target. Often this information is only available as image data, and not readily accessible for use in constructing referring expressions for verbal communication. The method presented uses a GIS building polygon layer in conjunction with street-level captured imagery to provide a method to automatically filter foreground objects and select pixels which correspond to building fac ¸ades. These selected pixels are then used to define the most appropriate color term for the building, and corresponding fuzzy color term histogram. The technique uses a single camera capturing images at a high frame rate, with the baseline distance between frames calculated from a GPS speed log. The expected distance from the camera to the building is measured from the polygon layer and refined from the calculated depth map, after which building pixels are selected. In addition significant foreground planar surfaces between the known road edge and building fac ¸ade are identified as possible boundary walls and hedges. The output is a dataset of the most appropriate color terms for both the building and boundary walls. Initial trials demonstrate the usefulness of the technique in automatically capturing color terms for buildings in urban regions.

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“…If a lower resolution DEM is used then large visible areas will be generalized. Research has been conducted on applications of and improvements to viewshed analysis (Riggs & Dean, 2007;Le Yaouanc, Saux, & Claramunt, 2010;Kim, Rana, & Wise, 2004). Riggs and Dean (2007) investigated causes for error in VSA tools.…”

Section: Viewshed Analysismentioning

confidence: 99%

A Prototype Path Prediction Tool

Woizesko

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I would like to thank my parents for supporting me through this project, the master's program, and throughout my life. Without them I would not be where I am today. These few sentences do not express my appreciation for them. I would also like to thank Ruijin Ma; he was an immensely helpful when discussing and working-out problems with the project. I would like to thank Doug Flewelling, Mark Kumler, and Fang Ren for their contributions to both the project and my education. Finally, I want to thank Debbie Riley for everything she does with the MS GIS program, she kept me on track, and generally made everything more pleasant.

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A Visibility and Spatial Constraint-Based Approach for Geopositioning

Cited by 5 publications

References 19 publications

A Rule-Based Spatial Reasoning Approach for OpenStreetMap Data Quality Enrichment; Case Study of Routing and Navigation

A Rule-Based Spatial Reasoning Approach for OpenStreetMap Data Quality Enrichment; Case Study of Routing and Navigation

A combined GIS and stereo vision approach to identify building pixels in images and determine appropriate color terms

A Prototype Path Prediction Tool

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