{"id":"https://openalex.org/W6907375754","doi":"https://doi.org/10.2312/sca.20141128","title":"Holonomic Collision Avoidance for Virtual Crowds","display_name":"Holonomic Collision Avoidance for Virtual Crowds","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W6907375754","doi":"https://doi.org/10.2312/sca.20141128"},"language":"en","primary_location":{"id":"doi:10.2312/sca.20141128","is_oa":true,"landing_page_url":"https://doi.org/10.2312/sca.20141128","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/sca.20141128","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hughes, Rowan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hughes, Rowan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Ondrej, Jan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ondrej, Jan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Dingliana, John","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dingliana, John","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.8881999850273132},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.8810999989509583},{"id":"https://openalex.org/keywords/holonomic","display_name":"Holonomic","score":0.8349000215530396},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.5465999841690063},{"id":"https://openalex.org/keywords/crowd-simulation","display_name":"Crowd simulation","score":0.508400022983551},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.42500001192092896},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.3971000015735626}],"concepts":[{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.8881999850273132},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.8810999989509583},{"id":"https://openalex.org/C2777964439","wikidata":"https://www.wikidata.org/wiki/Q5884201","display_name":"Holonomic","level":2,"score":0.8349000215530396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6226999759674072},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.5465999841690063},{"id":"https://openalex.org/C45617602","wikidata":"https://www.wikidata.org/wiki/Q465266","display_name":"Crowd simulation","level":3,"score":0.508400022983551},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42500001192092896},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.3971000015735626},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.34869998693466187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32850000262260437},{"id":"https://openalex.org/C2777016798","wikidata":"https://www.wikidata.org/wiki/Q2001988","display_name":"Collision avoidance system","level":4,"score":0.2865000069141388},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.2818000018596649},{"id":"https://openalex.org/C150303390","wikidata":"https://www.wikidata.org/wiki/Q1983852","display_name":"Virtual actor","level":3,"score":0.26510000228881836},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C199668693","wikidata":"https://www.wikidata.org/wiki/Q1550329","display_name":"Collision detection","level":3,"score":0.26010000705718994},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/sca.20141128","is_oa":true,"landing_page_url":"https://doi.org/10.2312/sca.20141128","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.2312/sca.20141128","is_oa":true,"landing_page_url":"https://doi.org/10.2312/sca.20141128","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"All":[0],"approaches":[1],"to":[2,12,22,87,107,115],"simulating":[3],"human":[4],"collision":[5,70,120,145],"avoidance":[6,71,121,146],"for":[7,73],"virtual":[8],"crowds":[9],"make":[10],"simplifications":[11,20],"the":[13,18,36,90,100],"underlying":[14],"behaviour.":[15,147],"One":[16],"of":[17,39],"prevalent":[19],"is":[21,79,112],"ignore":[23],"it's":[24],"holonomic":[25,69,94],"aspect":[26],"(i.e.":[27],"sidestepping,":[28],"walking":[29],"backwards).":[30],"This":[31],"does":[32],"not,":[33],"however,":[34],"capture":[35],"full":[37],"range":[38],"how":[40],"humans":[41],"avoid":[42,108],"collisions.":[43],"In":[44,62],"real":[45],"world":[46],"scenarios":[47],"we":[48,65,134],"can":[49],"often":[50],"observe":[51,89],"people":[52],"sidestepping":[53],"around":[54],"each":[55],"other":[56,119],"and":[57,133],"obstacles":[58],"in":[59,138],"their":[60],"environment.":[61],"this":[63],"paper":[64],"present":[66],"a":[67],"new":[68],"algorithm":[72],"real-time":[74],"crowd":[75],"simulation.":[76],"Our":[77,110],"model":[78,111],"elaborated":[80],"from":[81,130],"experimental":[82],"data,":[83],"which":[84,93,139],"allowed":[85],"us":[86],"both":[88],"conditions":[91],"under":[92],"interactions":[95,106],"occur,":[96],"as":[97,99],"well":[98],"strategies":[101],"walkers":[102],"use":[103],"during":[104],"such":[105],"collision.":[109],"general":[113],"enough":[114],"be":[116],"used":[117],"with":[118],"techniques.":[122],"We":[123],"validate":[124],"our":[125,131,140],"approach":[126],"by":[127],"reproducing":[128],"situations":[129],"experiments":[132],"demonstrate":[135],"several":[136],"examples":[137],"method":[141],"provides":[142],"more":[143],"plausible":[144]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
