{"id":"https://openalex.org/W4304616973","doi":"https://doi.org/10.1145/3561975.3562948","title":"Stealthy path planning against dynamic observers","display_name":"Stealthy path planning against dynamic observers","publication_year":2022,"publication_date":"2022-10-11","ids":{"openalex":"https://openalex.org/W4304616973","doi":"https://doi.org/10.1145/3561975.3562948"},"language":"en","primary_location":{"id":"doi:10.1145/3561975.3562948","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3561975.3562948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM SIGGRAPH Conference on Motion, Interaction and Games","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025293027","display_name":"Wael Al Enezi","orcid":null},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Wael Al Enezi","raw_affiliation_strings":["McGill University, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001343030","display_name":"Clark Verbrugge","orcid":"https://orcid.org/0000-0003-0663-7347"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Clark Verbrugge","raw_affiliation_strings":["McGill University, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University, Canada","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025293027"],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10513926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9799000024795532,"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/T11197","display_name":"Digital Games and Media","score":0.9592999815940857,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pathfinding","display_name":"Pathfinding","score":0.810295581817627},{"id":"https://openalex.org/keywords/covert","display_name":"Covert","score":0.7796686887741089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7219094038009644},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.6708551049232483},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6200176477432251},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.569485604763031},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5563002228736877},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.49309298396110535},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.4216967225074768},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39974045753479004},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.35129326581954956},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.34786397218704224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26016271114349365},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1505383551120758},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.10504096746444702},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07800626754760742}],"concepts":[{"id":"https://openalex.org/C25321074","wikidata":"https://www.wikidata.org/wiki/Q1969601","display_name":"Pathfinding","level":4,"score":0.810295581817627},{"id":"https://openalex.org/C2779338814","wikidata":"https://www.wikidata.org/wiki/Q5179285","display_name":"Covert","level":2,"score":0.7796686887741089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7219094038009644},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.6708551049232483},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6200176477432251},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.569485604763031},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5563002228736877},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.49309298396110535},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.4216967225074768},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39974045753479004},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.35129326581954956},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.34786397218704224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26016271114349365},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1505383551120758},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.10504096746444702},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07800626754760742},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3561975.3562948","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3561975.3562948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM SIGGRAPH Conference on Motion, Interaction and Games","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7300000190734863,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2073134903","https://openalex.org/W2085922258","https://openalex.org/W2113474338","https://openalex.org/W2134436419","https://openalex.org/W2135125135","https://openalex.org/W2149110633","https://openalex.org/W2159584837","https://openalex.org/W2293316369","https://openalex.org/W3140331270","https://openalex.org/W4206122739"],"related_works":["https://openalex.org/W4285687848","https://openalex.org/W4289994039","https://openalex.org/W2240526870","https://openalex.org/W3100156731","https://openalex.org/W2623016776","https://openalex.org/W1967962134","https://openalex.org/W3128311703","https://openalex.org/W3101047024","https://openalex.org/W131718761","https://openalex.org/W2387449920"],"abstract_inverted_index":{"In":[0,34],"virtual":[1,95],"environments,":[2],"research":[3],"into":[4,114],"the":[5,72,82,88,115,119],"problem":[6],"of":[7,20,71,84,90,118],"stealthy":[8],"or":[9,22],"covert":[10,50,91,105],"path":[11,92],"planning":[12,93],"has":[13,23],"either":[14],"assumed":[15],"fixed":[16],"and":[17,66,75,108],"static":[18],"motion":[19,45],"observers":[21],"used":[24],"relatively":[25],"simple":[26],"probabilistic":[27],"models":[28],"that":[29,41,122],"statically":[30],"summarize":[31],"potential":[32],"behavior.":[33],"this":[35],"paper,":[36],"we":[37],"introduce":[38],"a":[39,53,100],"method":[40],"dynamically":[42],"estimates":[43],"enemy":[44],"in":[46,52,94,127],"order":[47],"to":[48,61,79,104],"plan":[49],"paths":[51],"prototype":[54],"game":[55],"environment.":[56],"We":[57],"compare":[58],"our":[59,109],"results":[60],"other":[62],"baseline":[63],"pathfinding":[64,106],"methods":[65],"conduct":[67],"an":[68],"extensive":[69],"exploration":[70],"many":[73],"parameters":[74],"design":[76,98,125],"choices":[77,126],"involved":[78],"better":[80],"understand":[81],"impact":[83],"different":[85,120],"settings":[86],"on":[87],"success":[89],"environments.":[96],"Our":[97],"provides":[99,111],"more":[101],"flexible":[102],"approach":[103],"problems,":[107],"analysis":[110],"useful":[112],"insights":[113],"relative":[116],"weighting":[117],"factors":[121],"can":[123],"improve":[124],"building":[128],"stealth":[129],"scenarios.":[130]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}