Low-Cost RGB-D-SLAM Experimental Results for Real Building Interior Mapping

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F20%3A00537171" target="_blank" >RIV/60162694:G42__/20:00537171 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60162694:G43__/20:00537171

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-030-43890-6_4" target="_blank" >http://dx.doi.org/10.1007/978-3-030-43890-6_4</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-43890-6_4" target="_blank" >10.1007/978-3-030-43890-6_4</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Low-Cost RGB-D-SLAM Experimental Results for Real Building Interior Mapping

Popis výsledku v původním jazyce

Robot navigation inside a building relies on efficient localization of the device for motion planning. Mapping is also to be considered, and, along with high-end and costly solutions, low-cost devices prove to be useful. Therefore, this article presents well known low-cost solutions, with a methodology tailored for the mapping of a complex building floor. It takes care of the limitations of the sensor with some post-processing added to obtain beautiful point cloud as results of the experiments. Data acquired during an intensive campaign of measures by a trainee are presented. Finally, the analysis of the results shows the impact of the point cloud's size and the storage needed.

Název v anglickém jazyce

Low-Cost RGB-D-SLAM Experimental Results for Real Building Interior Mapping

Popis výsledku anglicky

Robot navigation inside a building relies on efficient localization of the device for motion planning. Mapping is also to be considered, and, along with high-end and costly solutions, low-cost devices prove to be useful. Therefore, this article presents well known low-cost solutions, with a methodology tailored for the mapping of a complex building floor. It takes care of the limitations of the sensor with some post-processing added to obtain beautiful point cloud as results of the experiments. Data acquired during an intensive campaign of measures by a trainee are presented. Finally, the analysis of the results shows the impact of the point cloud's size and the storage needed.

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

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

MODELLING AND SIMULATION FOR AUTONOMOUS SYSTEMS (MESAS 2019)

ISBN

978-3-030-43890-6

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

11

Strana od-do

39-49

Název nakladatele

SPRINGER INTERNATIONAL PUBLISHING AG

Místo vydání

Palermo

Místo konání akce

Palermo, ITALY

Datum konání akce

29. 10. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000628847000004