Redundant robot localization system based in wireless sensor network
Localization and Mapping of autonomous robots in an harsh and unstable environment such as a steep slope vineyard is a challenging research topic. Dead Reckoning systems can fail due to the harsh conditions of the terrain, and the Global Position System can be affected by noise or even be unavailabl...
Saved in:
Published in | 2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) pp. 154 - 159 |
---|---|
Main Authors | , , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.04.2018
|
Subjects | |
Online Access | Get full text |
DOI | 10.1109/ICARSC.2018.8374176 |
Cover
Abstract | Localization and Mapping of autonomous robots in an harsh and unstable environment such as a steep slope vineyard is a challenging research topic. Dead Reckoning systems can fail due to the harsh conditions of the terrain, and the Global Position System can be affected by noise or even be unavailable. Agriculture is moving towards precision agriculture, with advanced monitoring systems and wireless sensor networks. These systems and wireless sensors are installed in the crop field and can be considered relevant landmarks for robot localization. In this paper the distance accuracy provided by bluetooth based sensors is deeply studied and characterized. It is considered a multi antenna receiver bluetooth system and obtained the transfer functions (from Received Signal Strength Indication (RSSI) to distance estimation) for each set of antenna and sensors. The performance of this technology is compared against Time-of-flight based technologies (Pozyx). The obtained results show that the agricultural wireless sensors can be used as redundant artificial landmarks for localization purposes. Besides, the RSSI characterization allowed to improve the previous results of our Beacon Mapping Procedure (BMP) required for accurate and reliable localization systems. |
---|---|
AbstractList | Localization and Mapping of autonomous robots in an harsh and unstable environment such as a steep slope vineyard is a challenging research topic. Dead Reckoning systems can fail due to the harsh conditions of the terrain, and the Global Position System can be affected by noise or even be unavailable. Agriculture is moving towards precision agriculture, with advanced monitoring systems and wireless sensor networks. These systems and wireless sensors are installed in the crop field and can be considered relevant landmarks for robot localization. In this paper the distance accuracy provided by bluetooth based sensors is deeply studied and characterized. It is considered a multi antenna receiver bluetooth system and obtained the transfer functions (from Received Signal Strength Indication (RSSI) to distance estimation) for each set of antenna and sensors. The performance of this technology is compared against Time-of-flight based technologies (Pozyx). The obtained results show that the agricultural wireless sensors can be used as redundant artificial landmarks for localization purposes. Besides, the RSSI characterization allowed to improve the previous results of our Beacon Mapping Procedure (BMP) required for accurate and reliable localization systems. |
Author | Santos, Luis Mendes, Jorge Morais, Raul Sousa, Armando Ferraz, Nuno Reis, Ricardo Neves dos Santos, Filipe |
Author_xml | – sequence: 1 givenname: Ricardo surname: Reis fullname: Reis, Ricardo organization: INESC TEC, Porto, Portugal – sequence: 2 givenname: Jorge surname: Mendes fullname: Mendes, Jorge organization: INESC TEC and UTAD, Vila Real, Portugal – sequence: 3 givenname: Filipe surname: Neves dos Santos fullname: Neves dos Santos, Filipe organization: INESC TEC, Porto, Portugal – sequence: 4 givenname: Raul surname: Morais fullname: Morais, Raul organization: INESC TEC and UTAD, Vila Real, Portugal – sequence: 5 givenname: Nuno surname: Ferraz fullname: Ferraz, Nuno organization: INESC TEC, Vila Real, Portugal – sequence: 6 givenname: Luis surname: Santos fullname: Santos, Luis organization: INESC TEC, Porto, Portugal – sequence: 7 givenname: Armando surname: Sousa fullname: Sousa, Armando organization: INESC TEC and FEUP, Porto, Portugal |
BookMark | eNotj8tKAzEUQCPoQmu_oJv8wNSb3GQmWcr4KhSE2n3JTO5AcJpIEin16xXs6uwO59yx65giMbYSsBYC7MOmf9x99GsJwqwNdkp07RVb2s4IjabVUgq8ZU878t_Ru1h5TkOqfE6jm8OPqyFFXs6l0pEPrpDnIfJTyDRTKbxQLCnzSPWU8uc9u5ncXGh54YLtX573_VuzfX_9q9g2wUJttMLOWbSo_TRJAaRGHL1SALrrBAwjSE_a4mAMQKvkoARi650lAVLTiAu2-tcGIjp85XB0-Xy4rOEv3XNIUQ |
ContentType | Conference Proceeding |
DBID | 6IE 6IL CBEJK RIE RIL |
DOI | 10.1109/ICARSC.2018.8374176 |
DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume IEEE Xplore All Conference Proceedings IEEE Electronic Library (IEL) IEEE Proceedings Order Plans (POP All) 1998-Present |
DatabaseTitleList | |
Database_xml | – sequence: 1 dbid: RIE name: IEEE Xplore url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
DeliveryMethod | fulltext_linktorsrc |
EISBN | 9781538652213 1538652218 |
EndPage | 159 |
ExternalDocumentID | 8374176 |
Genre | orig-research |
GroupedDBID | 6IE 6IL CBEJK RIE RIL |
ID | FETCH-LOGICAL-i90t-5437a93935dff210e4c3cd440057710bc02de593b8800642b41336da9e1025ec3 |
IEDL.DBID | RIE |
IngestDate | Thu Jun 29 18:39:34 EDT 2023 |
IsPeerReviewed | false |
IsScholarly | false |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-i90t-5437a93935dff210e4c3cd440057710bc02de593b8800642b41336da9e1025ec3 |
PageCount | 6 |
ParticipantIDs | ieee_primary_8374176 |
PublicationCentury | 2000 |
PublicationDate | 2018-April |
PublicationDateYYYYMMDD | 2018-04-01 |
PublicationDate_xml | – month: 04 year: 2018 text: 2018-April |
PublicationDecade | 2010 |
PublicationTitle | 2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) |
PublicationTitleAbbrev | ICARSC |
PublicationYear | 2018 |
Publisher | IEEE |
Publisher_xml | – name: IEEE |
Score | 1.7082545 |
Snippet | Localization and Mapping of autonomous robots in an harsh and unstable environment such as a steep slope vineyard is a challenging research topic. Dead... |
SourceID | ieee |
SourceType | Publisher |
StartPage | 154 |
SubjectTerms | agricultural robotics Antennas Bluetooth precision agriculture Robot localization Robot sensing systems wireless sensor network Wireless sensor networks |
Title | Redundant robot localization system based in wireless sensor network |
URI | https://ieeexplore.ieee.org/document/8374176 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3PS8MwFH5sO3lS2cTf5ODRdN2StslRpmMKiswJu40meYWhtFK7i3-9eW2dKB68hZLSJK_tl5d83xeAC6MpsJHjqCLDZZpYnsZWc61kihIV7XUS2-Ihnj3Lu2W07MDlVguDiDX5DAMq1nv5rrAbWiob-mRKjpK4C13_mjVardZIaBTq4e3kav40IbaWCtqaP45MqRFjugv3X89qiCIvwaYygf34ZcP438bsweBbm8cet6izDx3M-3A9R1KD-VFiZWGKitUQ1UosWePWzAiwHFvnjOyJX_0fjr37HLYoWd5QwQewmN4sJjPeno_A1zqseCRFkmqS1ros85kbSiusk5L0pX7eYGw4dhhpYfwnSmmG8XglYpdq9JOKCK04gF5e5HgILMnoPmUSTIS0Shk1tqE1AjOpnTDhEfRpAFZvjQPGqu378d-XT2CHgtDwW06hV5UbPPPQXZnzOmaf7mObcg |
linkProvider | IEEE |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3PT8IwFH5BPOhJDRh_24NHNwbttvZoUAIKxCAm3MjaPhKi2QyOi3-9fdvEaDx4W5o17frSfn3r930FuNKKAhtaD2WoPZHExksiozwlRYICJZ11EttiHPWfxf0snNXgeqOFQcSCfIY-PRZn-TYza_pV1nLJlGjH0RZsO9wXYanWqqyE2oFqDbo3k6cu8bWkX73749KUAjN6ezD6aq2kirz461z75uOXEeN_u7MPzW91Hnvc4M4B1DBtwO0ESQ_mxomtMp3lrACpSmTJSr9mRpBl2TJlZFD86tY49u6y2GzF0pIM3oRp727a7XvVDQneUgW5FwoeJ4rEtXaxcLkbCsONFYIUpm7noE3QsRgqrt0kpURDO8TikU0Uum1FiIYfQj3NUjwCFi-ontQxxlwYKbXsmMBojguhLNfBMTRoAOZvpQfGvPr2k7-LL2GnPx0N58PB-OEUdikgJdvlDOr5ao3nDshzfVHE7xNCM56_ |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2018+IEEE+International+Conference+on+Autonomous+Robot+Systems+and+Competitions+%28ICARSC%29&rft.atitle=Redundant+robot+localization+system+based+in+wireless+sensor+network&rft.au=Reis%2C+Ricardo&rft.au=Mendes%2C+Jorge&rft.au=Neves+dos+Santos%2C+Filipe&rft.au=Morais%2C+Raul&rft.date=2018-04-01&rft.pub=IEEE&rft.spage=154&rft.epage=159&rft_id=info:doi/10.1109%2FICARSC.2018.8374176&rft.externalDocID=8374176 |