LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

A reliable odometry source is a prerequisite to enable complex autonomy behaviour in next-generation robots operating in extreme environments. In this work, we present a high-precision lidar odometry system to achieve robust and real-time operation under challenging perceptual conditions. LOCUS (Lid...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE robotics and automation letters 2021-04, Vol.6 (2), p.421-428
Hauptverfasser: Palieri, Matteo, Morrell, Benjamin, Thakur, Abhishek, Ebadi, Kamak, Nash, Jeremy, Chatterjee, Arghya, Kanellakis, Christoforos, Carlone, Luca, Guaragnella, Cataldo, Agha-mohammadi, Ali-akbar
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 428
container_issue 2
container_start_page 421
container_title IEEE robotics and automation letters
container_volume 6
creator Palieri, Matteo
Morrell, Benjamin
Thakur, Abhishek
Ebadi, Kamak
Nash, Jeremy
Chatterjee, Arghya
Kanellakis, Christoforos
Carlone, Luca
Guaragnella, Cataldo
Agha-mohammadi, Ali-akbar
description A reliable odometry source is a prerequisite to enable complex autonomy behaviour in next-generation robots operating in extreme environments. In this work, we present a high-precision lidar odometry system to achieve robust and real-time operation under challenging perceptual conditions. LOCUS (Lidar Odometry for Consistent operation in Uncertain Settings), provides an accurate multi-stage scan matching unit equipped with an health-aware sensor integration module for seamless fusion of additional sensing modalities. We evaluate the performance of the proposed system against state-of-the-art techniques in perceptually challenging environments, and demonstrate top-class localization accuracy along with substantial improvements in robustness to sensor failures. We then demonstrate real-time performance of LOCUS on various types of robotic mobility platforms involved in the autonomous exploration of the Satsop power plant in Elma, WA where the proposed system was a key element of the CoSTAR team's solution that won first place in the Urban Circuit of the DARPA Subterranean Challenge.
doi_str_mv 10.1109/LRA.2020.3044864
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_9293359</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9293359</ieee_id><sourcerecordid>2474855096</sourcerecordid><originalsourceid>FETCH-LOGICAL-c398t-5bf24840bda87c1fe8f33787b68fcf84cc3b4428200829b5b3f2cc30037cc4f03</originalsourceid><addsrcrecordid>eNpNkFFLwzAUhYsoKHPvgi8BX-28TdIm9W1s6oSOiVNfQ5smM6NratIi-_e2bAyf7uWe7xwuJwhuIphEEaQP2ft0ggHDhAClPKFnwRUmjIWEJcn5v_0yGHu_BYAoxoyk8VVQZqvZ5_oRTdGyq1oTrlXtrUOZKXMXzlTdOiPR2lZda2yNdC8tzOY7fHNKGj-cVqXdqdbtUV6XiMzRMm8aU2-QqdG7yqvww-zUdXCh88qr8XGOgs_np4_ZIsxWL6-zaRZKkvI2jAuNKadQlDlnMtKKa0IYZ0XCtdScSkkKSjHHABynRVwQjfsbAGFSUg1kFNwfcv2varpCNM7scrcXNjdibr6mwrqNqNpOcEwZ7fG7A944-9Mp34qt7VzdfygGnccxpElPwYGSznrvlD7FRiCG9kXfvhjaF8f2e8vtwWKUUic8xSkhcUr-AJRlfqM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2474855096</pqid></control><display><type>article</type><title>LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time</title><source>IEEE Electronic Library (IEL)</source><creator>Palieri, Matteo ; Morrell, Benjamin ; Thakur, Abhishek ; Ebadi, Kamak ; Nash, Jeremy ; Chatterjee, Arghya ; Kanellakis, Christoforos ; Carlone, Luca ; Guaragnella, Cataldo ; Agha-mohammadi, Ali-akbar</creator><creatorcontrib>Palieri, Matteo ; Morrell, Benjamin ; Thakur, Abhishek ; Ebadi, Kamak ; Nash, Jeremy ; Chatterjee, Arghya ; Kanellakis, Christoforos ; Carlone, Luca ; Guaragnella, Cataldo ; Agha-mohammadi, Ali-akbar</creatorcontrib><description>A reliable odometry source is a prerequisite to enable complex autonomy behaviour in next-generation robots operating in extreme environments. In this work, we present a high-precision lidar odometry system to achieve robust and real-time operation under challenging perceptual conditions. LOCUS (Lidar Odometry for Consistent operation in Uncertain Settings), provides an accurate multi-stage scan matching unit equipped with an health-aware sensor integration module for seamless fusion of additional sensing modalities. We evaluate the performance of the proposed system against state-of-the-art techniques in perceptually challenging environments, and demonstrate top-class localization accuracy along with substantial improvements in robustness to sensor failures. We then demonstrate real-time performance of LOCUS on various types of robotic mobility platforms involved in the autonomous exploration of the Satsop power plant in Elma, WA where the proposed system was a key element of the CoSTAR team's solution that won first place in the Urban Circuit of the DARPA Subterranean Challenge.</description><identifier>ISSN: 2377-3766</identifier><identifier>EISSN: 2377-3766</identifier><identifier>DOI: 10.1109/LRA.2020.3044864</identifier><identifier>CODEN: IRALC6</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Agricultural robots ; Autonomous exploration ; Autonomy ; Circuits ; Consistent operation ; Electric power generation ; Extreme environments ; Lidar ; Localization ; Localization accuracy ; Loci ; mapping ; Mobile robots ; Next generation robots ; Optical radar ; Path planning ; Performance evaluation ; Real time operation ; Real time performance ; Real-time systems ; Robotic mobility platforms ; Robotics and Artificial Intelligence ; robotics in hazardous fields ; Robotik och artificiell intelligens ; Sensor fusion ; Sensors ; Simultaneous localization and mapping ; SLAM ; State-of-the-art techniques</subject><ispartof>IEEE robotics and automation letters, 2021-04, Vol.6 (2), p.421-428</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c398t-5bf24840bda87c1fe8f33787b68fcf84cc3b4428200829b5b3f2cc30037cc4f03</citedby><cites>FETCH-LOGICAL-c398t-5bf24840bda87c1fe8f33787b68fcf84cc3b4428200829b5b3f2cc30037cc4f03</cites><orcidid>0000-0001-8870-6718 ; 0000-0001-8218-3346 ; 0000-0002-1854-8504 ; 0000-0003-1884-5397 ; 0000-0001-5509-1841 ; 0000-0002-9768-3615 ; 0000-0003-4149-1312 ; 0000-0002-0110-2311</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9293359$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,776,780,792,881,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9293359$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-82474$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Palieri, Matteo</creatorcontrib><creatorcontrib>Morrell, Benjamin</creatorcontrib><creatorcontrib>Thakur, Abhishek</creatorcontrib><creatorcontrib>Ebadi, Kamak</creatorcontrib><creatorcontrib>Nash, Jeremy</creatorcontrib><creatorcontrib>Chatterjee, Arghya</creatorcontrib><creatorcontrib>Kanellakis, Christoforos</creatorcontrib><creatorcontrib>Carlone, Luca</creatorcontrib><creatorcontrib>Guaragnella, Cataldo</creatorcontrib><creatorcontrib>Agha-mohammadi, Ali-akbar</creatorcontrib><title>LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time</title><title>IEEE robotics and automation letters</title><addtitle>LRA</addtitle><description>A reliable odometry source is a prerequisite to enable complex autonomy behaviour in next-generation robots operating in extreme environments. In this work, we present a high-precision lidar odometry system to achieve robust and real-time operation under challenging perceptual conditions. LOCUS (Lidar Odometry for Consistent operation in Uncertain Settings), provides an accurate multi-stage scan matching unit equipped with an health-aware sensor integration module for seamless fusion of additional sensing modalities. We evaluate the performance of the proposed system against state-of-the-art techniques in perceptually challenging environments, and demonstrate top-class localization accuracy along with substantial improvements in robustness to sensor failures. We then demonstrate real-time performance of LOCUS on various types of robotic mobility platforms involved in the autonomous exploration of the Satsop power plant in Elma, WA where the proposed system was a key element of the CoSTAR team's solution that won first place in the Urban Circuit of the DARPA Subterranean Challenge.</description><subject>Agricultural robots</subject><subject>Autonomous exploration</subject><subject>Autonomy</subject><subject>Circuits</subject><subject>Consistent operation</subject><subject>Electric power generation</subject><subject>Extreme environments</subject><subject>Lidar</subject><subject>Localization</subject><subject>Localization accuracy</subject><subject>Loci</subject><subject>mapping</subject><subject>Mobile robots</subject><subject>Next generation robots</subject><subject>Optical radar</subject><subject>Path planning</subject><subject>Performance evaluation</subject><subject>Real time operation</subject><subject>Real time performance</subject><subject>Real-time systems</subject><subject>Robotic mobility platforms</subject><subject>Robotics and Artificial Intelligence</subject><subject>robotics in hazardous fields</subject><subject>Robotik och artificiell intelligens</subject><subject>Sensor fusion</subject><subject>Sensors</subject><subject>Simultaneous localization and mapping</subject><subject>SLAM</subject><subject>State-of-the-art techniques</subject><issn>2377-3766</issn><issn>2377-3766</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkFFLwzAUhYsoKHPvgi8BX-28TdIm9W1s6oSOiVNfQ5smM6NratIi-_e2bAyf7uWe7xwuJwhuIphEEaQP2ft0ggHDhAClPKFnwRUmjIWEJcn5v_0yGHu_BYAoxoyk8VVQZqvZ5_oRTdGyq1oTrlXtrUOZKXMXzlTdOiPR2lZda2yNdC8tzOY7fHNKGj-cVqXdqdbtUV6XiMzRMm8aU2-QqdG7yqvww-zUdXCh88qr8XGOgs_np4_ZIsxWL6-zaRZKkvI2jAuNKadQlDlnMtKKa0IYZ0XCtdScSkkKSjHHABynRVwQjfsbAGFSUg1kFNwfcv2varpCNM7scrcXNjdibr6mwrqNqNpOcEwZ7fG7A944-9Mp34qt7VzdfygGnccxpElPwYGSznrvlD7FRiCG9kXfvhjaF8f2e8vtwWKUUic8xSkhcUr-AJRlfqM</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Palieri, Matteo</creator><creator>Morrell, Benjamin</creator><creator>Thakur, Abhishek</creator><creator>Ebadi, Kamak</creator><creator>Nash, Jeremy</creator><creator>Chatterjee, Arghya</creator><creator>Kanellakis, Christoforos</creator><creator>Carlone, Luca</creator><creator>Guaragnella, Cataldo</creator><creator>Agha-mohammadi, Ali-akbar</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>ADTPV</scope><scope>AOWAS</scope><orcidid>https://orcid.org/0000-0001-8870-6718</orcidid><orcidid>https://orcid.org/0000-0001-8218-3346</orcidid><orcidid>https://orcid.org/0000-0002-1854-8504</orcidid><orcidid>https://orcid.org/0000-0003-1884-5397</orcidid><orcidid>https://orcid.org/0000-0001-5509-1841</orcidid><orcidid>https://orcid.org/0000-0002-9768-3615</orcidid><orcidid>https://orcid.org/0000-0003-4149-1312</orcidid><orcidid>https://orcid.org/0000-0002-0110-2311</orcidid></search><sort><creationdate>20210401</creationdate><title>LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time</title><author>Palieri, Matteo ; Morrell, Benjamin ; Thakur, Abhishek ; Ebadi, Kamak ; Nash, Jeremy ; Chatterjee, Arghya ; Kanellakis, Christoforos ; Carlone, Luca ; Guaragnella, Cataldo ; Agha-mohammadi, Ali-akbar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c398t-5bf24840bda87c1fe8f33787b68fcf84cc3b4428200829b5b3f2cc30037cc4f03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Agricultural robots</topic><topic>Autonomous exploration</topic><topic>Autonomy</topic><topic>Circuits</topic><topic>Consistent operation</topic><topic>Electric power generation</topic><topic>Extreme environments</topic><topic>Lidar</topic><topic>Localization</topic><topic>Localization accuracy</topic><topic>Loci</topic><topic>mapping</topic><topic>Mobile robots</topic><topic>Next generation robots</topic><topic>Optical radar</topic><topic>Path planning</topic><topic>Performance evaluation</topic><topic>Real time operation</topic><topic>Real time performance</topic><topic>Real-time systems</topic><topic>Robotic mobility platforms</topic><topic>Robotics and Artificial Intelligence</topic><topic>robotics in hazardous fields</topic><topic>Robotik och artificiell intelligens</topic><topic>Sensor fusion</topic><topic>Sensors</topic><topic>Simultaneous localization and mapping</topic><topic>SLAM</topic><topic>State-of-the-art techniques</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Palieri, Matteo</creatorcontrib><creatorcontrib>Morrell, Benjamin</creatorcontrib><creatorcontrib>Thakur, Abhishek</creatorcontrib><creatorcontrib>Ebadi, Kamak</creatorcontrib><creatorcontrib>Nash, Jeremy</creatorcontrib><creatorcontrib>Chatterjee, Arghya</creatorcontrib><creatorcontrib>Kanellakis, Christoforos</creatorcontrib><creatorcontrib>Carlone, Luca</creatorcontrib><creatorcontrib>Guaragnella, Cataldo</creatorcontrib><creatorcontrib>Agha-mohammadi, Ali-akbar</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>SwePub</collection><collection>SwePub Articles</collection><jtitle>IEEE robotics and automation letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Palieri, Matteo</au><au>Morrell, Benjamin</au><au>Thakur, Abhishek</au><au>Ebadi, Kamak</au><au>Nash, Jeremy</au><au>Chatterjee, Arghya</au><au>Kanellakis, Christoforos</au><au>Carlone, Luca</au><au>Guaragnella, Cataldo</au><au>Agha-mohammadi, Ali-akbar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time</atitle><jtitle>IEEE robotics and automation letters</jtitle><stitle>LRA</stitle><date>2021-04-01</date><risdate>2021</risdate><volume>6</volume><issue>2</issue><spage>421</spage><epage>428</epage><pages>421-428</pages><issn>2377-3766</issn><eissn>2377-3766</eissn><coden>IRALC6</coden><abstract>A reliable odometry source is a prerequisite to enable complex autonomy behaviour in next-generation robots operating in extreme environments. In this work, we present a high-precision lidar odometry system to achieve robust and real-time operation under challenging perceptual conditions. LOCUS (Lidar Odometry for Consistent operation in Uncertain Settings), provides an accurate multi-stage scan matching unit equipped with an health-aware sensor integration module for seamless fusion of additional sensing modalities. We evaluate the performance of the proposed system against state-of-the-art techniques in perceptually challenging environments, and demonstrate top-class localization accuracy along with substantial improvements in robustness to sensor failures. We then demonstrate real-time performance of LOCUS on various types of robotic mobility platforms involved in the autonomous exploration of the Satsop power plant in Elma, WA where the proposed system was a key element of the CoSTAR team's solution that won first place in the Urban Circuit of the DARPA Subterranean Challenge.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/LRA.2020.3044864</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-8870-6718</orcidid><orcidid>https://orcid.org/0000-0001-8218-3346</orcidid><orcidid>https://orcid.org/0000-0002-1854-8504</orcidid><orcidid>https://orcid.org/0000-0003-1884-5397</orcidid><orcidid>https://orcid.org/0000-0001-5509-1841</orcidid><orcidid>https://orcid.org/0000-0002-9768-3615</orcidid><orcidid>https://orcid.org/0000-0003-4149-1312</orcidid><orcidid>https://orcid.org/0000-0002-0110-2311</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2377-3766
ispartof IEEE robotics and automation letters, 2021-04, Vol.6 (2), p.421-428
issn 2377-3766
2377-3766
language eng
recordid cdi_ieee_primary_9293359
source IEEE Electronic Library (IEL)
subjects Agricultural robots
Autonomous exploration
Autonomy
Circuits
Consistent operation
Electric power generation
Extreme environments
Lidar
Localization
Localization accuracy
Loci
mapping
Mobile robots
Next generation robots
Optical radar
Path planning
Performance evaluation
Real time operation
Real time performance
Real-time systems
Robotic mobility platforms
Robotics and Artificial Intelligence
robotics in hazardous fields
Robotik och artificiell intelligens
Sensor fusion
Sensors
Simultaneous localization and mapping
SLAM
State-of-the-art techniques
title LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T16%3A50%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=LOCUS:%20A%20Multi-Sensor%20Lidar-Centric%20Solution%20for%20High-Precision%20Odometry%20and%203D%20Mapping%20in%20Real-Time&rft.jtitle=IEEE%20robotics%20and%20automation%20letters&rft.au=Palieri,%20Matteo&rft.date=2021-04-01&rft.volume=6&rft.issue=2&rft.spage=421&rft.epage=428&rft.pages=421-428&rft.issn=2377-3766&rft.eissn=2377-3766&rft.coden=IRALC6&rft_id=info:doi/10.1109/LRA.2020.3044864&rft_dat=%3Cproquest_RIE%3E2474855096%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2474855096&rft_id=info:pmid/&rft_ieee_id=9293359&rfr_iscdi=true