{"id":"https://openalex.org/W2058295955","doi":"https://doi.org/10.1145/2448196.2448200","title":"Hybrid long-range collision avoidance for crowd simulation","display_name":"Hybrid long-range collision avoidance for crowd simulation","publication_year":2013,"publication_date":"2013-03-21","ids":{"openalex":"https://openalex.org/W2058295955","doi":"https://doi.org/10.1145/2448196.2448200","mag":"2058295955"},"language":"en","primary_location":{"id":"doi:10.1145/2448196.2448200","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2448196.2448200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics 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/A5070783395","display_name":"Abhinav Golas","orcid":"https://orcid.org/0000-0003-2332-7957"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abhinav Golas","raw_affiliation_strings":["University of North Carolina at Chapel Hill"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081238468","display_name":"Rahul Narain","orcid":"https://orcid.org/0000-0003-4905-6649"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Narain","raw_affiliation_strings":["University of California, Berkeley"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ming Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Lin","raw_affiliation_strings":["University of North Carolina at Chapel Hill"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070783395"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":16.7455,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.99386238,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10524","display_name":"Traffic control and management","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10331","display_name":"Video Surveillance and Tracking Methods","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"}}],"keywords":[{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.9500325918197632},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.6836676597595215},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.682636559009552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6375942230224609},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6184384226799011},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5812596678733826},{"id":"https://openalex.org/keywords/crowd-simulation","display_name":"Crowd simulation","score":0.528028130531311},{"id":"https://openalex.org/keywords/cutoff","display_name":"Cutoff","score":0.448040634393692},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3604569435119629},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3289019465446472},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15140172839164734},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10077270865440369},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.09902781248092651},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08988222479820251}],"concepts":[{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.9500325918197632},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.6836676597595215},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.682636559009552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6375942230224609},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6184384226799011},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5812596678733826},{"id":"https://openalex.org/C45617602","wikidata":"https://www.wikidata.org/wiki/Q465266","display_name":"Crowd simulation","level":3,"score":0.528028130531311},{"id":"https://openalex.org/C2778217198","wikidata":"https://www.wikidata.org/wiki/Q556977","display_name":"Cutoff","level":2,"score":0.448040634393692},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3604569435119629},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3289019465446472},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15140172839164734},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10077270865440369},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.09902781248092651},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08988222479820251},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2448196.2448200","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2448196.2448200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.671.5754","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.671.5754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://gamma.cs.unc.edu/lookahead/golas-2013-hybridcrowd-tvcg.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.673.306","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.673.306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://gamma.cs.unc.edu/lookahead/golas-2013-hybridcrowd.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G6696817298","display_name":null,"funder_award_id":"W911NF-04-1-0088","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G7854952735","display_name":null,"funder_award_id":"0917040, 0904990, 100057, 1117127","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320307102","display_name":"Intel Corporation","ror":"https://ror.org/01ek73717"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W192919555","https://openalex.org/W1967907012","https://openalex.org/W1976134581","https://openalex.org/W2002440441","https://openalex.org/W2004094485","https://openalex.org/W2006779554","https://openalex.org/W2011913982","https://openalex.org/W2018028329","https://openalex.org/W2018193765","https://openalex.org/W2019530605","https://openalex.org/W2020895320","https://openalex.org/W2028415715","https://openalex.org/W2047908296","https://openalex.org/W2095862804","https://openalex.org/W2098786017","https://openalex.org/W2100477395","https://openalex.org/W2103422354","https://openalex.org/W2103944530","https://openalex.org/W2117266227","https://openalex.org/W2130476529","https://openalex.org/W2140973417","https://openalex.org/W2142943472","https://openalex.org/W2145175424","https://openalex.org/W2150312211","https://openalex.org/W2150797680","https://openalex.org/W2156838542","https://openalex.org/W2163137879","https://openalex.org/W2167052694","https://openalex.org/W2293527364","https://openalex.org/W2599946977","https://openalex.org/W2914391295","https://openalex.org/W2963102771","https://openalex.org/W3098415823","https://openalex.org/W3145671133","https://openalex.org/W4230025240","https://openalex.org/W6630064352"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W2280250567","https://openalex.org/W1819938260","https://openalex.org/W2340892746","https://openalex.org/W3163022373","https://openalex.org/W3005999311","https://openalex.org/W2172235251"],"abstract_inverted_index":{"Local":[0],"collision":[1,45,64,71,77],"avoidance":[2,46,65,78],"algorithms":[3,66],"in":[4,21,24],"crowd":[5],"simulation":[6],"often":[7],"ignore":[8],"agents":[9,30,51],"beyond":[10],"a":[11,14,58],"neighborhood":[12],"of":[13,29],"certain":[15],"size.":[16],"This":[17],"cutoff":[18],"can":[19],"result":[20],"sharp":[22],"changes":[23],"trajectory":[25],"when":[26],"large":[27,54],"groups":[28,82],"enter":[31],"or":[32],"exit":[33],"these":[34],"neighborhoods.":[35],"In":[36],"this":[37],"work,":[38],"we":[39],"exploit":[40],"the":[41],"insight":[42],"that":[43,87],"exact":[44],"is":[47],"not":[48],"necessary":[49],"between":[50],"at":[52,97],"such":[53],"distances,":[55],"and":[56,96],"propose":[57],"novel":[59],"algorithm":[60],"for":[61,79],"extending":[62],"existing":[63],"to":[67,83],"perform":[68],"approximate,":[69],"long-range":[70,76],"avoidance.":[72],"Our":[73],"formulation":[74],"performs":[75],"distant":[80],"agent":[81],"efficiently":[84],"compute":[85],"trajectories":[86],"are":[88],"smoother":[89],"than":[90],"those":[91],"obtained":[92],"with":[93],"state-of-the-art":[94],"techniques":[95],"faster":[98],"rates.":[99]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}