Network Models of 2d and 3d Carastral Data

Lewandowicz, Elżbieta

doi:10.3846/enviro.2014.227

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…The land and building cadastre is a very important element of the spatial information infrastructure, on the basis of which various analyses can be carried out [1]. It is assumed that in the future, the property cadastre database will contain sufficient data to carry out procedures aimed at sustainable development [2].…”

Section: Introductionmentioning

confidence: 99%

The Implementation of Spatial Planning Objects in a 3D Cadastral Model

Bydłosz

Bieda

Parzych

2018

IJGI

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The paper concerns spatial planning in Poland and its connection with the cadastre. The Polish spatial planning system defines the set of colours, lines, hatches, etc. destined for the preparations of spatial plans, though this has so far not been followed by a spatial planning model or application schema. The aim of this paper is to create a preliminary concept of the unified modelling language (UML) schema of database integrating 3D cadastre and 3D spatial planning. The authors initially define five unified modelling language classes representing spatial planning objects (four representing spatial objects and one a dictionary list). As spatial planning and cadastres are very strongly connected, these classes are implemented into a cadastral model that had been earlier enriched with 3D classes. The final results of this research are UML diagrams based on the Polish cadastral model as defined earlier in legal regulations. They comprise original cadastral model classes, 3D cadastral objects added in earlier research work, classes representing spatial planning objects and the relationships among them. Such a solution better connects cadastre and spatial planning on a structural level and introduces 3D elements into spatial planning which has basically been done in two dimensions.

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Section: Introductionmentioning

confidence: 99%

The Implementation of Spatial Planning Objects in a 3D Cadastral Model

Bydłosz

Bieda

Parzych

2018

IJGI

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3D Indoor Localization using 5G-based Particle Filtering and CAD Plans

Shoushtari

Askar

Harder

et al. 2021

2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN)

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Real-Time Map Matching with a Backtracking Particle Filter Using Geospatial Analysis

Harder

Shoushtari

Sternberg

2022

Sensors

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Inertial odometry is a typical localization method that is widely and easily accessible in many devices. Pedestrian positioning can benefit from this approach based on inertial measurement unit (IMU) values embedded in smartphones. Fitting the inertial odometry outputs, namely step length and step heading of a human for instance, with spatial information is an ubiquitous way to correct for the cumulative noises. This so-called map-matching process can be achieved in several ways. In this paper, a novel real-time map-matching approach was developed, using a backtracking particle filter that benefits from the implemented geospatial analysis, which reduces the complexity of spatial queries and provides flexibility in the use of different kinds of spatial constraints. The goal was to generalize the algorithm to permit the use of any kind of odometry data calculated by different sensors and approaches as the input. Further research, development, and comparisons have been done by the easy implementation of different spatial constraints and use cases due to the modular structure. Additionally, a simple map-based optimization using transition areas between floors has been developed. The developed algorithm could achieve accuracies of up to 3 m at approximately the 90th percentile for two different experiments in a complex building structure.

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Network Models of 2d and 3d Carastral Data

Cited by 3 publications

References 4 publications

The Implementation of Spatial Planning Objects in a 3D Cadastral Model

The Implementation of Spatial Planning Objects in a 3D Cadastral Model

3D Indoor Localization using 5G-based Particle Filtering and CAD Plans

Real-Time Map Matching with a Backtracking Particle Filter Using Geospatial Analysis

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