GNSS precise point positioning for autonomous robot navigation in green-house environment for integrated pest monitoring
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F18%3A43918306" target="_blank" >RIV/62156489:43210/18:43918306 - isvavai.cz</a>
Result on the web
<a href="https://www.pfri.uniri.hr/web/hr/dokumenti/2018-GNSS-12.pdf" target="_blank" >https://www.pfri.uniri.hr/web/hr/dokumenti/2018-GNSS-12.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
GNSS precise point positioning for autonomous robot navigation in green-house environment for integrated pest monitoring
Original language description
GreenPatrol robot is an autonomous robotic solution for early detection and control of pests in greenhouses. The importance of robot precise positioning inside the greenhouse is a key aspect to endow the robot with the ability to scout the environment, precisely register the detected pest location into accurate maps and to allow the later treatment. Greenhouses are a challenging environment in terms of multipath and signal blockage due to its metal-reinforced complex structures of glass or polycarbonate. GreenPatrol robot localization takes advantage of the higher accuracy and the multiple signal frequencies provided by the European Global Navigation Satellite System (EGNSS) of the Galileo constellation (E5Alt BOC), by means of precise positioning techniques combined with inertial measurement sensors, odometry and maps to provide an accurate global localization mechanism. This paper shows the results of a comparative analysis carried out in a Greenhouse environment in order to evaluate the performance of different processing techniques such as Precise Point Positioning (PPP) and Post Processed Kinematic (PPK). The purpose of this analysis is to study the advantages of the use of Galileo new signals and to determine the best global localization solution for the GreenPatrol robot. The results experimentally show that the use of PPP Galileo E5 AltBOC signal in a multi-constellation solution offers better signal quality and better positioning performance for the intended environment.
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
20205 - Automation and control systems
Result continuities
Project
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Continuities
O - Projekt operacniho programu
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
12th Annual Baška GNSS Conference: Proceedings
ISBN
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ISSN
1849-7306
e-ISSN
2670-8981
Number of pages
18
Pages from-to
51-68
Publisher name
University of Rijeka
Place of publication
Rijeka
Event location
Baška
Event date
May 6, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000532487700003