{"id":"https://openalex.org/W2134603794","doi":"https://doi.org/10.1017/s0263574714000642","title":"Worst-case analysis of moving obstacle avoidance systems for unmanned vehicles","display_name":"Worst-case analysis of moving obstacle avoidance systems for unmanned vehicles","publication_year":2014,"publication_date":"2014-04-15","ids":{"openalex":"https://openalex.org/W2134603794","doi":"https://doi.org/10.1017/s0263574714000642","mag":"2134603794"},"language":"en","primary_location":{"id":"doi:10.1017/s0263574714000642","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0263574714000642","pdf_url":null,"source":{"id":"https://openalex.org/S92163612","display_name":"Robotica","issn_l":"0263-5747","issn":["0263-5747","1469-8668"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Robotica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dspace.lboro.ac.uk/2134/18328","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052195669","display_name":"Sivaranjini Srikanthakumar","orcid":null},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Sivaranjini Srikanthakumar","raw_affiliation_strings":["Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire LE11 3TU, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire LE11 3TU, UK","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100428822","display_name":"Wen\u2010Hua Chen","orcid":"https://orcid.org/0000-0003-3356-2889"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wen-Hua Chen","raw_affiliation_strings":["Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire LE11 3TU, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire LE11 3TU, UK","institution_ids":["https://openalex.org/I143804889"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5052195669"],"corresponding_institution_ids":["https://openalex.org/I143804889"],"apc_list":null,"apc_paid":null,"fwci":0.2426,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.61653911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"33","issue":"4","first_page":"807","last_page":"827"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.7965084314346313},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.7692850828170776},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6046909689903259},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.5771697759628296},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5059751868247986},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.49594125151634216},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48686450719833374},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39799827337265015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38381293416023254},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.22451835870742798},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17060348391532898},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.14701369404792786}],"concepts":[{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.7965084314346313},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.7692850828170776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6046909689903259},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.5771697759628296},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5059751868247986},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.49594125151634216},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48686450719833374},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39799827337265015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38381293416023254},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.22451835870742798},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17060348391532898},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.14701369404792786},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1017/s0263574714000642","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0263574714000642","pdf_url":null,"source":{"id":"https://openalex.org/S92163612","display_name":"Robotica","issn_l":"0263-5747","issn":["0263-5747","1469-8668"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Robotica","raw_type":"journal-article"},{"id":"pmh:oai:dspace.lboro.ac.uk:2134/18328","is_oa":true,"landing_page_url":"https://dspace.lboro.ac.uk/2134/18328","pdf_url":null,"source":{"id":"https://openalex.org/S4306401023","display_name":"Loughborough University Institutional Repository (Loughborough University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I143804889","host_organization_name":"Loughborough University","host_organization_lineage":["https://openalex.org/I143804889"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:figshare.com:article/9224042","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Worst-case_analysis_of_moving_obstacle_avoidance_systems_for_unmanned_vehicles/9224042","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:dspace.lboro.ac.uk:2134/18328","is_oa":true,"landing_page_url":"https://dspace.lboro.ac.uk/2134/18328","pdf_url":null,"source":{"id":"https://openalex.org/S4306401023","display_name":"Loughborough University Institutional Repository (Loughborough University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I143804889","host_organization_name":"Loughborough University","host_organization_lineage":["https://openalex.org/I143804889"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W32104792","https://openalex.org/W156986664","https://openalex.org/W585720652","https://openalex.org/W1487678510","https://openalex.org/W1497256448","https://openalex.org/W1604314819","https://openalex.org/W1608481154","https://openalex.org/W1638373997","https://openalex.org/W2001833310","https://openalex.org/W2022120107","https://openalex.org/W2024174582","https://openalex.org/W2034140518","https://openalex.org/W2090207452","https://openalex.org/W2097679359","https://openalex.org/W2111200069","https://openalex.org/W2130543103","https://openalex.org/W2141698884","https://openalex.org/W2147476333","https://openalex.org/W2506591572","https://openalex.org/W2528234406","https://openalex.org/W2540770098","https://openalex.org/W3148444946","https://openalex.org/W4298872671","https://openalex.org/W4323517655","https://openalex.org/W6676757604"],"related_works":["https://openalex.org/W2930076404","https://openalex.org/W4253519380","https://openalex.org/W2071957557","https://openalex.org/W2596413128","https://openalex.org/W2356867392","https://openalex.org/W2913749762","https://openalex.org/W2782776446","https://openalex.org/W2155948905","https://openalex.org/W3043170174","https://openalex.org/W1971413691"],"abstract_inverted_index":{"SUMMARY":[0],"This":[1],"paper":[2],"investigates":[3],"worst-case":[4,27,75,116],"analysis":[5],"of":[6,22,66],"a":[7,16,39,43,81,98,134],"moving":[8,44,82],"obstacle":[9,45,83],"avoidance":[10,46],"algorithm":[11,47],"for":[12],"unmanned":[13],"vehicles":[14],"in":[15,19,56,73,90],"dynamic":[17],"environment":[18],"the":[20,50,63,67,74,128],"presence":[21],"uncertainties":[23,55],"and":[24,36,61,107],"variations.":[25],"Automatic":[26],"search":[28,92,131],"algorithms":[29],"are":[30,69,111],"developed":[31,48],"based":[32],"on":[33],"optimization":[34,101,109],"techniques,":[35],"illustrated":[37],"by":[38],"Pioneer":[40],"robot":[41,68],"with":[42],"using":[49],"potential":[51],"field":[52],"method.":[53],"The":[54,77,118],"physical":[57],"parameters,":[58],"sensor":[59],"measurements,":[60],"even":[62],"model":[64],"structure":[65],"taken":[70],"into":[71],"account":[72],"analysis.":[76,117],"minimum":[78],"distance":[79],"to":[80,113,125],"is":[84,95,122],"considered":[85],"as":[86],"an":[87],"objective":[88],"function":[89],"automatic":[91,130],"process.":[93],"It":[94],"demonstrated":[96],"that":[97,127],"local":[99],"nonlinear":[100],"method":[102],"may":[103],"not":[104],"be":[105],"adequate,":[106],"global":[108],"techniques":[110],"necessary":[112],"provide":[114,133],"reliable":[115],"Monte":[119],"Carlo":[120],"simulation":[121],"carried":[123],"out":[124],"demonstrate":[126],"proposed":[129],"methods":[132],"significant":[135],"advantage":[136],"over":[137],"random":[138],"sampling":[139],"approaches.":[140]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
