Low data loss point cloud to multi-line conversion and union

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F20%3APU138198" target="_blank" >RIV/00216305:26210/20:PU138198 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ME49197.2020.9286714" target="_blank" >http://dx.doi.org/10.1109/ME49197.2020.9286714</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ME49197.2020.9286714" target="_blank" >10.1109/ME49197.2020.9286714</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Low data loss point cloud to multi-line conversion and union

Popis výsledku v původním jazyce

Union of point clouds converted into lines is basically impossible nowadays. In big area mapping task, there is a problem how to represent scanned data. A point cloud is basic output from almost every mapping and environment scanning system, but as the area grows, there comes need for huge data storage and also the computation cost starts to grow rapidly. On the other side, curve representation is simple and easy to process, but all other data from point cloud get lost and further actualization of curve is basically impossible. In this article we present algorithms of robust procedure which can transfer point-cloud to curve and data. The final goal is to achieve the same result for two curves which are merged, as if two point-clouds were merged and transferred to curve.

Název v anglickém jazyce

Low data loss point cloud to multi-line conversion and union

Popis výsledku anglicky

Union of point clouds converted into lines is basically impossible nowadays. In big area mapping task, there is a problem how to represent scanned data. A point cloud is basic output from almost every mapping and environment scanning system, but as the area grows, there comes need for huge data storage and also the computation cost starts to grow rapidly. On the other side, curve representation is simple and easy to process, but all other data from point cloud get lost and further actualization of curve is basically impossible. In this article we present algorithms of robust procedure which can transfer point-cloud to curve and data. The final goal is to achieve the same result for two curves which are merged, as if two point-clouds were merged and transferred to curve.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20204 - Robotics and automatic control

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika (ME)

ISBN

978-1-7281-5600-2

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

1-4

Název nakladatele

Neuveden

Místo vydání

neuveden

Místo konání akce

Praha

Datum konání akce

2. 12. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000662155700059