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Wyświetlanie 1-3 z 3
Tytuł:
3D object shape reconstruction from underwater multibeam data and over ground LiDAR scanning
Autorzy:
Kulawiak, M.
Łubniewski, Z.
Powiązania:
https://bibliotekanauki.pl/articles/260564.pdf
Data publikacji:
2018
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
multibeam sonar
laser scanning
three dimensional reconstruction
point cloud
triangulation
Opis:
The technologies of sonar and laser scanning are an efficient and widely used source of spatial information with regards to underwater and over ground environment respectively. The measurement data are usually available in the form of groups of separate points located irregularly in three-dimensional space, known as point clouds. This data model has known disadvantages, therefore in many applications a different form of representation, i.e. 3D surfaces composed of edges and facets, is preferred with respect to the terrain or seabed surface relief as well as various objects shape. In the paper, the authors propose a new approach to 3D shape reconstruction from both multibeam and LiDAR measurements. It is based on a multiple-step and to some extent adaptive process, in which the chosen set and sequence of particular stages may depend on a current type and characteristic features of the processed data. The processing scheme includes: 1) pre-processing which may include noise reduction, rasterization and pre-classification, 2) detection and separation of objects for dedicated processing (e.g. steep walls, masts), and 3) surface reconstruction in 3D by point cloud triangulation and with the aid of several dedicated procedures. The benefits of using the proposed methods, including algorithms for detecting various features and improving the regularity of the data structure, are presented and discussed. Several different shape reconstruction algorithms were tested in combination with the proposed data processing methods and the strengths and weaknesses of each algorithm were highlighted.
Źródło:
Polish Maritime Research; 2018, 2; 47-56
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The analyzes of PDOP factors for a ZigBee ground – based augmentation systems
Autorzy:
Janowski, A.
Rapinski, J.
Powiązania:
https://bibliotekanauki.pl/articles/258808.pdf
Data publikacji:
2017
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
point cloud processing
GNSS
ZigBee
GBAS
PDOP
navigation in harbor
Opis:
This paper presents the analysis of PDOP factors for a ZigBee ground – based augmentation systems. It presents the idea of such a system followed by the results of assessment of application in Gdansk Marina. The results of the experiment show that the application of ZigBee can significantly improve PDOP value in harsh measurement environment. The analysis shows that it is possible to select an optimal location of ground-based transceiver on the basis of predicted trajectory and obstructions measured with laser scanning.
Źródło:
Polish Maritime Research; 2017, S 1; 108-114
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Depth images filtering in distributed streaming
Autorzy:
Dziubich, T.
Szymański, J.
Brzeski, A. M.
Cychnerski, J.
Korłub, W. M.
Powiązania:
https://bibliotekanauki.pl/articles/259864.pdf
Data publikacji:
2016
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
point cloud processing
distributed system
parallel processing
depth image filtering
Opis:
In this paper, we propose a distributed system for point cloud processing and transferring them via computer network regarding to effectiveness-related requirements. We discuss the comparison of point cloud filters focusing on their usage for streaming optimization. For the filtering step of the stream pipeline processing we evaluate four filters: Voxel Grid, Radial Outliner Remover, Statistical Outlier Removal and Pass Through. For each of the filters we perform a series of tests for evaluating the impact on the point cloud size and transmitting frequency (analysed for various fps ratio). We present results of the optimization process used for point cloud consolidation in a distributed environment. We describe the processing of the point clouds before and after the transmission. Pre- and post-processing allow the user to send the cloud via network without any delays. The proposed pre-processing compression of the cloud and the post-processing reconstruction of it are focused on assuring that the end-user application obtains the cloud with a given precision.
Źródło:
Polish Maritime Research; 2016, 2; 91-98
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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