Low-Cost RGB-D-SLAM Experimental Results for Real Building Interior Mapping
The result's identifiers
Result code in 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>
Alternative codes found
RIV/60162694:G43__/20:00537171
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Low-Cost RGB-D-SLAM Experimental Results for Real Building Interior Mapping
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MODELLING AND SIMULATION FOR AUTONOMOUS SYSTEMS (MESAS 2019)
ISBN
978-3-030-43890-6
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
11
Pages from-to
39-49
Publisher name
SPRINGER INTERNATIONAL PUBLISHING AG
Place of publication
Palermo
Event location
Palermo, ITALY
Event date
Oct 29, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000628847000004