VPP: Visibility-Based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain Using a UAV Onboard Camera
The use of unmanned aerial vehicles with multiple onboard sensors has grown significantly in tasks involving terrain coverage such as environmental and civil monitoring, disaster management, and forest fire fighting. Many of these tasks require a quick and early response, which makes maximizing the...
Gespeichert in:
Veröffentlicht in: | IEEE journal of selected topics in applied earth observations and remote sensing 2022, Vol.15, p.944-955 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 955 |
---|---|
container_issue | |
container_start_page | 944 |
container_title | IEEE journal of selected topics in applied earth observations and remote sensing |
container_volume | 15 |
creator | Sanchez-Fernandez, Andres J. Romero, Luis F. Bandera, Gerardo Tabik, Siham |
description | The use of unmanned aerial vehicles with multiple onboard sensors has grown significantly in tasks involving terrain coverage such as environmental and civil monitoring, disaster management, and forest fire fighting. Many of these tasks require a quick and early response, which makes maximizing the land covered from the flight path a challenging objective, especially when the area to be monitored is irregular, large and includes many blind spots. Accordingly, state-of-the-art total viewshed algorithms can be of great help to analyze large areas and find new paths providing maximum visibility. This article shows how the total viewshed computation is a valuable tool for generating paths that provide maximum visibility during a flight. We introduce a new heuristic called visibility-based path planning (VPP) that offers a different solution to the path planning problem. VPP identifies the hidden areas of the target territory to generate a path that provides the highest visual coverage. Simulation results show that VPP can cover up to 98.7% of the Montes de Malaga Natural Park and 94.5% of the Sierra de las Nieves National Park, both located within the province of Malaga (Spain) and chosen as regions of interest. In addition, a real flight test confirmed the high visibility achieved using VPP. Our methodology and analysis can be easily applied to enhance monitoring in other large outdoor areas. |
doi_str_mv | 10.1109/JSTARS.2021.3134948 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1109_JSTARS_2021_3134948</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9647997</ieee_id><doaj_id>oai_doaj_org_article_411e2490ee404e3fbb5e876887db6809</doaj_id><sourcerecordid>2621064500</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-2c172f111663255e19adc9281144d3862931b7e9a034b0d528f6e7531c87195d3</originalsourceid><addsrcrecordid>eNo9kV1v0zAUhi0EEmXwC3ZjiesUH3_F5q5UwDYVrdra3lpOclJcpXGxU2n796TLtCtLx-_7no-HkGtgcwBmv909bhYPj3POOMwFCGmleUdmHBQUoIR6T2ZghS1AMvmRfMr5wJjmpRUz8rRbr7_TXcihCl0YnosfPmND1374S9ed7_vQ7-kNnlPIQ6hpGxP9E_swxHT5WPm0R_qA-xD7TGNLl_F46vCJbjAlH3q6zReZp9vFjt73VfSpoUt_xOQ_kw-t7zJ-eX2vyPbXz83ypljd_75dLlZFLZkZCl5DyVsA0FpwpRCsb2rLDYCUjTCaWwFVidYzISvWKG5ajaUSUJsSrGrEFbmdcpvoD-6UwtGnZxd9cC-FmPbOp3G1Dp0EQC4tQxzvhKKtKoWm1MaUTaUNs2PW1ynrlOK_M-bBHeI59eP4jmsOTEvF2KgSk6pOMeeE7VtXYO6Cy0243AWXe8U1uq4nV0DEN4fVsrS2FP8BC1-O3g</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2621064500</pqid></control><display><type>article</type><title>VPP: Visibility-Based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain Using a UAV Onboard Camera</title><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Sanchez-Fernandez, Andres J. ; Romero, Luis F. ; Bandera, Gerardo ; Tabik, Siham</creator><creatorcontrib>Sanchez-Fernandez, Andres J. ; Romero, Luis F. ; Bandera, Gerardo ; Tabik, Siham</creatorcontrib><description>The use of unmanned aerial vehicles with multiple onboard sensors has grown significantly in tasks involving terrain coverage such as environmental and civil monitoring, disaster management, and forest fire fighting. Many of these tasks require a quick and early response, which makes maximizing the land covered from the flight path a challenging objective, especially when the area to be monitored is irregular, large and includes many blind spots. Accordingly, state-of-the-art total viewshed algorithms can be of great help to analyze large areas and find new paths providing maximum visibility. This article shows how the total viewshed computation is a valuable tool for generating paths that provide maximum visibility during a flight. We introduce a new heuristic called visibility-based path planning (VPP) that offers a different solution to the path planning problem. VPP identifies the hidden areas of the target territory to generate a path that provides the highest visual coverage. Simulation results show that VPP can cover up to 98.7% of the Montes de Malaga Natural Park and 94.5% of the Sierra de las Nieves National Park, both located within the province of Malaga (Spain) and chosen as regions of interest. In addition, a real flight test confirmed the high visibility achieved using VPP. Our methodology and analysis can be easily applied to enhance monitoring in other large outdoor areas.</description><identifier>ISSN: 1939-1404</identifier><identifier>EISSN: 2151-1535</identifier><identifier>DOI: 10.1109/JSTARS.2021.3134948</identifier><identifier>CODEN: IJSTHZ</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Algorithms ; Area coverage ; Cameras ; Computation ; Disaster management ; Emergency preparedness ; Fire control ; Fire fighting ; fire prevention ; Flight ; Flight tests ; Forest & brush fires ; Forest fires ; Forestry ; Heuristic ; Heuristic algorithms ; Monitoring ; monitoring path ; National parks ; Path planning ; Problem solving ; Real-time systems ; Task analysis ; Terrain ; total viewshed ; unmanned aerial vehicle (UAV) ; Unmanned aerial vehicles ; Visibility ; visibility analysis</subject><ispartof>IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.944-955</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-2c172f111663255e19adc9281144d3862931b7e9a034b0d528f6e7531c87195d3</citedby><cites>FETCH-LOGICAL-c408t-2c172f111663255e19adc9281144d3862931b7e9a034b0d528f6e7531c87195d3</cites><orcidid>0000-0003-0809-1050 ; 0000-0001-6743-3570 ; 0000-0003-2959-2030 ; 0000-0003-4093-5356</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,2100,4022,27922,27923,27924</link.rule.ids></links><search><creatorcontrib>Sanchez-Fernandez, Andres J.</creatorcontrib><creatorcontrib>Romero, Luis F.</creatorcontrib><creatorcontrib>Bandera, Gerardo</creatorcontrib><creatorcontrib>Tabik, Siham</creatorcontrib><title>VPP: Visibility-Based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain Using a UAV Onboard Camera</title><title>IEEE journal of selected topics in applied earth observations and remote sensing</title><addtitle>JSTARS</addtitle><description>The use of unmanned aerial vehicles with multiple onboard sensors has grown significantly in tasks involving terrain coverage such as environmental and civil monitoring, disaster management, and forest fire fighting. Many of these tasks require a quick and early response, which makes maximizing the land covered from the flight path a challenging objective, especially when the area to be monitored is irregular, large and includes many blind spots. Accordingly, state-of-the-art total viewshed algorithms can be of great help to analyze large areas and find new paths providing maximum visibility. This article shows how the total viewshed computation is a valuable tool for generating paths that provide maximum visibility during a flight. We introduce a new heuristic called visibility-based path planning (VPP) that offers a different solution to the path planning problem. VPP identifies the hidden areas of the target territory to generate a path that provides the highest visual coverage. Simulation results show that VPP can cover up to 98.7% of the Montes de Malaga Natural Park and 94.5% of the Sierra de las Nieves National Park, both located within the province of Malaga (Spain) and chosen as regions of interest. In addition, a real flight test confirmed the high visibility achieved using VPP. Our methodology and analysis can be easily applied to enhance monitoring in other large outdoor areas.</description><subject>Algorithms</subject><subject>Area coverage</subject><subject>Cameras</subject><subject>Computation</subject><subject>Disaster management</subject><subject>Emergency preparedness</subject><subject>Fire control</subject><subject>Fire fighting</subject><subject>fire prevention</subject><subject>Flight</subject><subject>Flight tests</subject><subject>Forest & brush fires</subject><subject>Forest fires</subject><subject>Forestry</subject><subject>Heuristic</subject><subject>Heuristic algorithms</subject><subject>Monitoring</subject><subject>monitoring path</subject><subject>National parks</subject><subject>Path planning</subject><subject>Problem solving</subject><subject>Real-time systems</subject><subject>Task analysis</subject><subject>Terrain</subject><subject>total viewshed</subject><subject>unmanned aerial vehicle (UAV)</subject><subject>Unmanned aerial vehicles</subject><subject>Visibility</subject><subject>visibility analysis</subject><issn>1939-1404</issn><issn>2151-1535</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNo9kV1v0zAUhi0EEmXwC3ZjiesUH3_F5q5UwDYVrdra3lpOclJcpXGxU2n796TLtCtLx-_7no-HkGtgcwBmv909bhYPj3POOMwFCGmleUdmHBQUoIR6T2ZghS1AMvmRfMr5wJjmpRUz8rRbr7_TXcihCl0YnosfPmND1374S9ed7_vQ7-kNnlPIQ6hpGxP9E_swxHT5WPm0R_qA-xD7TGNLl_F46vCJbjAlH3q6zReZp9vFjt73VfSpoUt_xOQ_kw-t7zJ-eX2vyPbXz83ypljd_75dLlZFLZkZCl5DyVsA0FpwpRCsb2rLDYCUjTCaWwFVidYzISvWKG5ajaUSUJsSrGrEFbmdcpvoD-6UwtGnZxd9cC-FmPbOp3G1Dp0EQC4tQxzvhKKtKoWm1MaUTaUNs2PW1ynrlOK_M-bBHeI59eP4jmsOTEvF2KgSk6pOMeeE7VtXYO6Cy0243AWXe8U1uq4nV0DEN4fVsrS2FP8BC1-O3g</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Sanchez-Fernandez, Andres J.</creator><creator>Romero, Luis F.</creator><creator>Bandera, Gerardo</creator><creator>Tabik, Siham</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-0809-1050</orcidid><orcidid>https://orcid.org/0000-0001-6743-3570</orcidid><orcidid>https://orcid.org/0000-0003-2959-2030</orcidid><orcidid>https://orcid.org/0000-0003-4093-5356</orcidid></search><sort><creationdate>2022</creationdate><title>VPP: Visibility-Based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain Using a UAV Onboard Camera</title><author>Sanchez-Fernandez, Andres J. ; Romero, Luis F. ; Bandera, Gerardo ; Tabik, Siham</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-2c172f111663255e19adc9281144d3862931b7e9a034b0d528f6e7531c87195d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Area coverage</topic><topic>Cameras</topic><topic>Computation</topic><topic>Disaster management</topic><topic>Emergency preparedness</topic><topic>Fire control</topic><topic>Fire fighting</topic><topic>fire prevention</topic><topic>Flight</topic><topic>Flight tests</topic><topic>Forest & brush fires</topic><topic>Forest fires</topic><topic>Forestry</topic><topic>Heuristic</topic><topic>Heuristic algorithms</topic><topic>Monitoring</topic><topic>monitoring path</topic><topic>National parks</topic><topic>Path planning</topic><topic>Problem solving</topic><topic>Real-time systems</topic><topic>Task analysis</topic><topic>Terrain</topic><topic>total viewshed</topic><topic>unmanned aerial vehicle (UAV)</topic><topic>Unmanned aerial vehicles</topic><topic>Visibility</topic><topic>visibility analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sanchez-Fernandez, Andres J.</creatorcontrib><creatorcontrib>Romero, Luis F.</creatorcontrib><creatorcontrib>Bandera, Gerardo</creatorcontrib><creatorcontrib>Tabik, Siham</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE journal of selected topics in applied earth observations and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sanchez-Fernandez, Andres J.</au><au>Romero, Luis F.</au><au>Bandera, Gerardo</au><au>Tabik, Siham</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>VPP: Visibility-Based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain Using a UAV Onboard Camera</atitle><jtitle>IEEE journal of selected topics in applied earth observations and remote sensing</jtitle><stitle>JSTARS</stitle><date>2022</date><risdate>2022</risdate><volume>15</volume><spage>944</spage><epage>955</epage><pages>944-955</pages><issn>1939-1404</issn><eissn>2151-1535</eissn><coden>IJSTHZ</coden><abstract>The use of unmanned aerial vehicles with multiple onboard sensors has grown significantly in tasks involving terrain coverage such as environmental and civil monitoring, disaster management, and forest fire fighting. Many of these tasks require a quick and early response, which makes maximizing the land covered from the flight path a challenging objective, especially when the area to be monitored is irregular, large and includes many blind spots. Accordingly, state-of-the-art total viewshed algorithms can be of great help to analyze large areas and find new paths providing maximum visibility. This article shows how the total viewshed computation is a valuable tool for generating paths that provide maximum visibility during a flight. We introduce a new heuristic called visibility-based path planning (VPP) that offers a different solution to the path planning problem. VPP identifies the hidden areas of the target territory to generate a path that provides the highest visual coverage. Simulation results show that VPP can cover up to 98.7% of the Montes de Malaga Natural Park and 94.5% of the Sierra de las Nieves National Park, both located within the province of Malaga (Spain) and chosen as regions of interest. In addition, a real flight test confirmed the high visibility achieved using VPP. Our methodology and analysis can be easily applied to enhance monitoring in other large outdoor areas.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/JSTARS.2021.3134948</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-0809-1050</orcidid><orcidid>https://orcid.org/0000-0001-6743-3570</orcidid><orcidid>https://orcid.org/0000-0003-2959-2030</orcidid><orcidid>https://orcid.org/0000-0003-4093-5356</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1939-1404 |
ispartof | IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.944-955 |
issn | 1939-1404 2151-1535 |
language | eng |
recordid | cdi_crossref_primary_10_1109_JSTARS_2021_3134948 |
source | DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
subjects | Algorithms Area coverage Cameras Computation Disaster management Emergency preparedness Fire control Fire fighting fire prevention Flight Flight tests Forest & brush fires Forest fires Forestry Heuristic Heuristic algorithms Monitoring monitoring path National parks Path planning Problem solving Real-time systems Task analysis Terrain total viewshed unmanned aerial vehicle (UAV) Unmanned aerial vehicles Visibility visibility analysis |
title | VPP: Visibility-Based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain Using a UAV Onboard Camera |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T03%3A28%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=VPP:%20Visibility-Based%20Path%20Planning%20Heuristic%20for%20Monitoring%20Large%20Regions%20of%20Complex%20Terrain%20Using%20a%20UAV%20Onboard%20Camera&rft.jtitle=IEEE%20journal%20of%20selected%20topics%20in%20applied%20earth%20observations%20and%20remote%20sensing&rft.au=Sanchez-Fernandez,%20Andres%20J.&rft.date=2022&rft.volume=15&rft.spage=944&rft.epage=955&rft.pages=944-955&rft.issn=1939-1404&rft.eissn=2151-1535&rft.coden=IJSTHZ&rft_id=info:doi/10.1109/JSTARS.2021.3134948&rft_dat=%3Cproquest_cross%3E2621064500%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2621064500&rft_id=info:pmid/&rft_ieee_id=9647997&rft_doaj_id=oai_doaj_org_article_411e2490ee404e3fbb5e876887db6809&rfr_iscdi=true |