PROBABILITY LINEAR METHOD POINT CLOUD APPROXIMATION
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F20%3APU138432" target="_blank" >RIV/00216305:26210/20:PU138432 - isvavai.cz</a>
Result on the web
<a href="https://www.engmech.cz/im/im/download/EM2020_proceedings.pdf" target="_blank" >https://www.engmech.cz/im/im/download/EM2020_proceedings.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21495/5896-3-306" target="_blank" >10.21495/5896-3-306</a>
Alternative languages
Result language
angličtina
Original language name
PROBABILITY LINEAR METHOD POINT CLOUD APPROXIMATION
Original language description
Fitting curves through point clouds is useful when the further computation is required to be fast or the data set is too large. The most common method to fit a curve into a point cloud is the approximation using the Least squares method (LSM) but it can be used only when the expected data have normal distribution. Data obtained from LIDAR often tend to have an error which can’t be solved by LSM, like data shifted in one angular direction. The main goal of this paper is to propose more efficient method for estimation of obstacle position and orientation. This method uses curve approximation based on probability; this can solve some classic errors that appear when processing data obtained by LIDAR. This method was tested and was found to have a disadvantage: great demand for computing power; its more than ten times slower than classic LSM and in cases with normal distribution gives the same results. It can be used in system where the emphasis is on accuracy or in multiagent solution when working with big data set is not desired.
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
20204 - Robotics and automatic control
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
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
ENGINEERING MECHANICS 2020 26th INTERNATIONAL CONFERENCE
ISBN
978-80-214-5896-3
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
306-309
Publisher name
Neuveden
Place of publication
neuveden
Event location
Online
Event date
Nov 24, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000667956100069