Statistical-Based Control Points Selection for Indoor Illuminance Measurement
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00340942" target="_blank" >RIV/68407700:21230/20:00340942 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/20:00340942
Result on the web
<a href="https://doi.org/10.1109/TIM.2020.2987635" target="_blank" >https://doi.org/10.1109/TIM.2020.2987635</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TIM.2020.2987635" target="_blank" >10.1109/TIM.2020.2987635</a>
Alternative languages
Result language
angličtina
Original language name
Statistical-Based Control Points Selection for Indoor Illuminance Measurement
Original language description
The distribution of indoor illuminance affects the health and the performance of humans, and is therefore subject to audits. Audits are performed after each modification of the light sources, and the currently adopted approach uses a human operator to perform measurements manually. This process is time-consuming, and we therefore aim to automate it with a mobile platform. In order to automate the process, we propose an online algorithm for selecting the control points. The algorithm is iterative, and it takes previous measurements into account in order to select the control points adaptively. We show how the proposed method can be combined with a mobile platform to perform the audit autonomously. Initially, the mobile platform, equipped with a laser range finder, is used to build the floor plan of the room. This floor plan is then used to restrict the area within which the control points can be selected. The whole measurement process is then executed without the presence or the intervention of a human operator, and this reduces the time needed for the audit. We have performed simulated and real experiments to demonstrate the performance of the proposed approach.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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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
Name of the periodical
IEEE Transactions on Instrumentation and Measurement
ISSN
0018-9456
e-ISSN
1557-9662
Volume of the periodical
69
Issue of the periodical within the volume
10
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
8362-8371
UT code for WoS article
000571849100101
EID of the result in the Scopus database
2-s2.0-85091763994