CODE: Complete Coverage UAV Exploration Planner using Dual-Type Viewpoints for Multi-Layer Complex Environments

We present an autonomous exploration method for unmanned aerial vehicles (UAVs) for three-dimensional (3D) exploration tasks. Our approach, utilizing a cooperation strategy between common viewpoints and frontier viewpoints, fully leverages the agility and flexibility of UAVs, demonstrating faster an...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE robotics and automation letters 2024-12, p.1-8
Hauptverfasser: Zhu, Huazhang, Lan, Tian, Ma, Shunzheng, Zhao, Xuan, Shang, Huiliang, Li, Ruijiao
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 8
container_issue
container_start_page 1
container_title IEEE robotics and automation letters
container_volume
creator Zhu, Huazhang
Lan, Tian
Ma, Shunzheng
Zhao, Xuan
Shang, Huiliang
Li, Ruijiao
description We present an autonomous exploration method for unmanned aerial vehicles (UAVs) for three-dimensional (3D) exploration tasks. Our approach, utilizing a cooperation strategy between common viewpoints and frontier viewpoints, fully leverages the agility and flexibility of UAVs, demonstrating faster and more comprehensive exploration than the current state-of-the-art. Common viewpoints, specifically designed for UAVs exploration, are evenly distributed throughout the 3D space for 3D exploration tasks. Frontier viewpoints are positioned at the centroids of clusters of frontier points to help the UAV maintain motivation to explore unknown complex 3D environments and navigate through narrow corners and passages. This strategy allows the UAV to access every corner of the 3D environment. Additionally, our method includes a refined relocation mechanism for UAVs specifically. Experimental comparisons show that our method ensures complete exploration coverage in environments with complex terrain. Our method outperforms TARE DSVP, GBP and MBP by the coverage rate of 64%, 63%, 54% and 49% respectively in garage-D. In narrow tunnels, ours and DSVP are the only two evaluated methods that achieve complete coverage, with ours outperforming DSVP by 35% in exploration efficiency.
doi_str_mv 10.1109/LRA.2024.3521179
format Article
fullrecord <record><control><sourceid>ieee_RIE</sourceid><recordid>TN_cdi_ieee_primary_10811860</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10811860</ieee_id><sourcerecordid>10811860</sourcerecordid><originalsourceid>FETCH-ieee_primary_108118603</originalsourceid><addsrcrecordid>eNqFjEFrwjAYhsNgMNm877DD9wda8yW2sbtJrezg2BjqVXL4lIw0CUnr7L-34O6e3geeh5exV-Q5Iq9mm59lLriY57IQiKp6YBMhlcqkKssnNk3pl3OOhVCyKibM11-r5h1q3wZLHY1wpqhPBLvlHppLsD7qzngH31Y7RxH6ZNwJVr222XYIBHtDf8Eb1yU4-gifve1MttHDmN5OL9C4s4netTRGL-zxqG2i6f8-s7d1s60_MkNEhxBNq-NwQL5AXJRc3tFXeM9Jag</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>CODE: Complete Coverage UAV Exploration Planner using Dual-Type Viewpoints for Multi-Layer Complex Environments</title><source>IEEE Electronic Library (IEL)</source><creator>Zhu, Huazhang ; Lan, Tian ; Ma, Shunzheng ; Zhao, Xuan ; Shang, Huiliang ; Li, Ruijiao</creator><creatorcontrib>Zhu, Huazhang ; Lan, Tian ; Ma, Shunzheng ; Zhao, Xuan ; Shang, Huiliang ; Li, Ruijiao</creatorcontrib><description>We present an autonomous exploration method for unmanned aerial vehicles (UAVs) for three-dimensional (3D) exploration tasks. Our approach, utilizing a cooperation strategy between common viewpoints and frontier viewpoints, fully leverages the agility and flexibility of UAVs, demonstrating faster and more comprehensive exploration than the current state-of-the-art. Common viewpoints, specifically designed for UAVs exploration, are evenly distributed throughout the 3D space for 3D exploration tasks. Frontier viewpoints are positioned at the centroids of clusters of frontier points to help the UAV maintain motivation to explore unknown complex 3D environments and navigate through narrow corners and passages. This strategy allows the UAV to access every corner of the 3D environment. Additionally, our method includes a refined relocation mechanism for UAVs specifically. Experimental comparisons show that our method ensures complete exploration coverage in environments with complex terrain. Our method outperforms TARE DSVP, GBP and MBP by the coverage rate of 64%, 63%, 54% and 49% respectively in garage-D. In narrow tunnels, ours and DSVP are the only two evaluated methods that achieve complete coverage, with ours outperforming DSVP by 35% in exploration efficiency.</description><identifier>EISSN: 2377-3766</identifier><identifier>DOI: 10.1109/LRA.2024.3521179</identifier><identifier>CODEN: IRALC6</identifier><language>eng</language><publisher>IEEE</publisher><subject>Aerial Systems: Applications ; Autonomous aerial vehicles ; Green products ; Maintenance ; Motion and Path Planning ; Navigation ; Planning ; Robot kinematics ; Robots ; Search and Rescue Robots ; Solids ; Space exploration ; Three-dimensional displays</subject><ispartof>IEEE robotics and automation letters, 2024-12, p.1-8</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-9553-1589 ; 0000-0001-8517-0276 ; 0009-0002-4207-190X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10811860$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,777,781,793,27905,27906,54739</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10811860$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhu, Huazhang</creatorcontrib><creatorcontrib>Lan, Tian</creatorcontrib><creatorcontrib>Ma, Shunzheng</creatorcontrib><creatorcontrib>Zhao, Xuan</creatorcontrib><creatorcontrib>Shang, Huiliang</creatorcontrib><creatorcontrib>Li, Ruijiao</creatorcontrib><title>CODE: Complete Coverage UAV Exploration Planner using Dual-Type Viewpoints for Multi-Layer Complex Environments</title><title>IEEE robotics and automation letters</title><addtitle>LRA</addtitle><description>We present an autonomous exploration method for unmanned aerial vehicles (UAVs) for three-dimensional (3D) exploration tasks. Our approach, utilizing a cooperation strategy between common viewpoints and frontier viewpoints, fully leverages the agility and flexibility of UAVs, demonstrating faster and more comprehensive exploration than the current state-of-the-art. Common viewpoints, specifically designed for UAVs exploration, are evenly distributed throughout the 3D space for 3D exploration tasks. Frontier viewpoints are positioned at the centroids of clusters of frontier points to help the UAV maintain motivation to explore unknown complex 3D environments and navigate through narrow corners and passages. This strategy allows the UAV to access every corner of the 3D environment. Additionally, our method includes a refined relocation mechanism for UAVs specifically. Experimental comparisons show that our method ensures complete exploration coverage in environments with complex terrain. Our method outperforms TARE DSVP, GBP and MBP by the coverage rate of 64%, 63%, 54% and 49% respectively in garage-D. In narrow tunnels, ours and DSVP are the only two evaluated methods that achieve complete coverage, with ours outperforming DSVP by 35% in exploration efficiency.</description><subject>Aerial Systems: Applications</subject><subject>Autonomous aerial vehicles</subject><subject>Green products</subject><subject>Maintenance</subject><subject>Motion and Path Planning</subject><subject>Navigation</subject><subject>Planning</subject><subject>Robot kinematics</subject><subject>Robots</subject><subject>Search and Rescue Robots</subject><subject>Solids</subject><subject>Space exploration</subject><subject>Three-dimensional displays</subject><issn>2377-3766</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqFjEFrwjAYhsNgMNm877DD9wda8yW2sbtJrezg2BjqVXL4lIw0CUnr7L-34O6e3geeh5exV-Q5Iq9mm59lLriY57IQiKp6YBMhlcqkKssnNk3pl3OOhVCyKibM11-r5h1q3wZLHY1wpqhPBLvlHppLsD7qzngH31Y7RxH6ZNwJVr222XYIBHtDf8Eb1yU4-gifve1MttHDmN5OL9C4s4netTRGL-zxqG2i6f8-s7d1s60_MkNEhxBNq-NwQL5AXJRc3tFXeM9Jag</recordid><startdate>20241220</startdate><enddate>20241220</enddate><creator>Zhu, Huazhang</creator><creator>Lan, Tian</creator><creator>Ma, Shunzheng</creator><creator>Zhao, Xuan</creator><creator>Shang, Huiliang</creator><creator>Li, Ruijiao</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><orcidid>https://orcid.org/0000-0002-9553-1589</orcidid><orcidid>https://orcid.org/0000-0001-8517-0276</orcidid><orcidid>https://orcid.org/0009-0002-4207-190X</orcidid></search><sort><creationdate>20241220</creationdate><title>CODE: Complete Coverage UAV Exploration Planner using Dual-Type Viewpoints for Multi-Layer Complex Environments</title><author>Zhu, Huazhang ; Lan, Tian ; Ma, Shunzheng ; Zhao, Xuan ; Shang, Huiliang ; Li, Ruijiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_108118603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aerial Systems: Applications</topic><topic>Autonomous aerial vehicles</topic><topic>Green products</topic><topic>Maintenance</topic><topic>Motion and Path Planning</topic><topic>Navigation</topic><topic>Planning</topic><topic>Robot kinematics</topic><topic>Robots</topic><topic>Search and Rescue Robots</topic><topic>Solids</topic><topic>Space exploration</topic><topic>Three-dimensional displays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhu, Huazhang</creatorcontrib><creatorcontrib>Lan, Tian</creatorcontrib><creatorcontrib>Ma, Shunzheng</creatorcontrib><creatorcontrib>Zhao, Xuan</creatorcontrib><creatorcontrib>Shang, Huiliang</creatorcontrib><creatorcontrib>Li, Ruijiao</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><jtitle>IEEE robotics and automation letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhu, Huazhang</au><au>Lan, Tian</au><au>Ma, Shunzheng</au><au>Zhao, Xuan</au><au>Shang, Huiliang</au><au>Li, Ruijiao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CODE: Complete Coverage UAV Exploration Planner using Dual-Type Viewpoints for Multi-Layer Complex Environments</atitle><jtitle>IEEE robotics and automation letters</jtitle><stitle>LRA</stitle><date>2024-12-20</date><risdate>2024</risdate><spage>1</spage><epage>8</epage><pages>1-8</pages><eissn>2377-3766</eissn><coden>IRALC6</coden><abstract>We present an autonomous exploration method for unmanned aerial vehicles (UAVs) for three-dimensional (3D) exploration tasks. Our approach, utilizing a cooperation strategy between common viewpoints and frontier viewpoints, fully leverages the agility and flexibility of UAVs, demonstrating faster and more comprehensive exploration than the current state-of-the-art. Common viewpoints, specifically designed for UAVs exploration, are evenly distributed throughout the 3D space for 3D exploration tasks. Frontier viewpoints are positioned at the centroids of clusters of frontier points to help the UAV maintain motivation to explore unknown complex 3D environments and navigate through narrow corners and passages. This strategy allows the UAV to access every corner of the 3D environment. Additionally, our method includes a refined relocation mechanism for UAVs specifically. Experimental comparisons show that our method ensures complete exploration coverage in environments with complex terrain. Our method outperforms TARE DSVP, GBP and MBP by the coverage rate of 64%, 63%, 54% and 49% respectively in garage-D. In narrow tunnels, ours and DSVP are the only two evaluated methods that achieve complete coverage, with ours outperforming DSVP by 35% in exploration efficiency.</abstract><pub>IEEE</pub><doi>10.1109/LRA.2024.3521179</doi><orcidid>https://orcid.org/0000-0002-9553-1589</orcidid><orcidid>https://orcid.org/0000-0001-8517-0276</orcidid><orcidid>https://orcid.org/0009-0002-4207-190X</orcidid></addata></record>
fulltext fulltext_linktorsrc
identifier EISSN: 2377-3766
ispartof IEEE robotics and automation letters, 2024-12, p.1-8
issn 2377-3766
language eng
recordid cdi_ieee_primary_10811860
source IEEE Electronic Library (IEL)
subjects Aerial Systems: Applications
Autonomous aerial vehicles
Green products
Maintenance
Motion and Path Planning
Navigation
Planning
Robot kinematics
Robots
Search and Rescue Robots
Solids
Space exploration
Three-dimensional displays
title CODE: Complete Coverage UAV Exploration Planner using Dual-Type Viewpoints for Multi-Layer Complex Environments
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T19%3A24%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=CODE:%20Complete%20Coverage%20UAV%20Exploration%20Planner%20using%20Dual-Type%20Viewpoints%20for%20Multi-Layer%20Complex%20Environments&rft.jtitle=IEEE%20robotics%20and%20automation%20letters&rft.au=Zhu,%20Huazhang&rft.date=2024-12-20&rft.spage=1&rft.epage=8&rft.pages=1-8&rft.eissn=2377-3766&rft.coden=IRALC6&rft_id=info:doi/10.1109/LRA.2024.3521179&rft_dat=%3Cieee_RIE%3E10811860%3C/ieee_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=10811860&rfr_iscdi=true