Rendering of 3D Maps with Additional Information for Operator of a Coal Mine Mobile Robot

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F16%3A86098553" target="_blank" >RIV/61989100:27230/16:86098553 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007/978-3-319-47605-6_18" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-47605-6_18</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-47605-6_18" target="_blank" >10.1007/978-3-319-47605-6_18</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Rendering of 3D Maps with Additional Information for Operator of a Coal Mine Mobile Robot

Popis výsledku v původním jazyce

The paper focuses on visualization of point clouds made by a 3D scanner mounted on a mobile robot Telerescuer designed for reconnaissance of coal mines affected by a disaster. Briefly are described some algorithms used for point cloud pre-processing - voxelization for data reduction, outliers removing for filtering of erroneous data and smoothing for additional filtering of noise data. These algorithms are implemented in C++ using the Point Cloud Library. The next parts focus on the rendering engine created for this application, with more detailed information about drawing individual points with specific size and using the point colours to support better representation of shapes in the map by shading/lighting and additional colouring based on orientation of normal vectors. Mentioned are also some crucial optimizations of rendering and processing performance build on a simple custom system similar to Octree. The final part presents some methods of adding additional information to the map, including sensor readings (temperature, gas concentration, wind speed etc.) and distance measurements (exact numeric measuring, rough dimension estimation by colour coding, corridor cross-section etc.). Integration of these data and the advanced rendering techniques not typically used for point cloud visualization are the innovative approaches described in this paper.

Název v anglickém jazyce

Rendering of 3D Maps with Additional Information for Operator of a Coal Mine Mobile Robot

Popis výsledku anglicky

The paper focuses on visualization of point clouds made by a 3D scanner mounted on a mobile robot Telerescuer designed for reconnaissance of coal mines affected by a disaster. Briefly are described some algorithms used for point cloud pre-processing - voxelization for data reduction, outliers removing for filtering of erroneous data and smoothing for additional filtering of noise data. These algorithms are implemented in C++ using the Point Cloud Library. The next parts focus on the rendering engine created for this application, with more detailed information about drawing individual points with specific size and using the point colours to support better representation of shapes in the map by shading/lighting and additional colouring based on orientation of normal vectors. Mentioned are also some crucial optimizations of rendering and processing performance build on a simple custom system similar to Octree. The final part presents some methods of adding additional information to the map, including sensor readings (temperature, gas concentration, wind speed etc.) and distance measurements (exact numeric measuring, rough dimension estimation by colour coding, corridor cross-section etc.). Integration of these data and the advanced rendering techniques not typically used for point cloud visualization are the innovative approaches described in this paper.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Lecture Notes in Computer Science. Volume 9991

ISBN

978-3-319-47605-6

ISSN

0302-9743

e-ISSN

neuvedeno

Počet stran výsledku

12

Strana od-do

214-225

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Řím

Datum konání akce

15. 6. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000389939300018