{"id":"https://openalex.org/W4389302505","doi":"https://doi.org/10.1109/cog57401.2023.10333163","title":"Efficient Ground Vehicle Path Following in Game AI","display_name":"Efficient Ground Vehicle Path Following in Game AI","publication_year":2023,"publication_date":"2023-08-21","ids":{"openalex":"https://openalex.org/W4389302505","doi":"https://doi.org/10.1109/cog57401.2023.10333163"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cog57401.2023.10333163","pdf_url":null,"source":{"id":"https://openalex.org/S4363608335","display_name":"2021 IEEE Conference on Games (CoG)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2307.03379","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009567562","display_name":"Rodrigue de Schaetzen","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"funder","lineage":["https://openalex.org/I151746483"]},{"id":"https://openalex.org/I4210113251","display_name":"Electronic Arts (United States)","ror":"https://ror.org/0269t5q92","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113251"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Rodrigue De Schaetzen","raw_affiliation_strings":["Electronic Arts (EA)","University of Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Electronic Arts (EA)","institution_ids":["https://openalex.org/I4210113251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087665560","display_name":"Alessandro Sestini","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113251","display_name":"Electronic Arts (United States)","ror":"https://ror.org/0269t5q92","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113251"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alessandro Sestini","raw_affiliation_strings":["SEED - Electronic Arts (EA)"],"affiliations":[{"raw_affiliation_string":"SEED - Electronic Arts (EA)","institution_ids":["https://openalex.org/I4210113251"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.876,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.621472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":65,"max":76},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9964,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9964,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T12290","display_name":"Human Motion and Animation","score":0.9924,"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/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9915,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.7647381},{"id":"https://openalex.org/keywords/unmanned-ground-vehicle","display_name":"Unmanned ground vehicle","score":0.5264816},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44102663}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7647381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6366503},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5927976},{"id":"https://openalex.org/C2776548393","wikidata":"https://www.wikidata.org/wiki/Q2031473","display_name":"Unmanned ground vehicle","level":2,"score":0.5264816},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4938284},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4484822},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44102663},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.42820236},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.4196844},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.4100693},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.335041},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.33088577},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32541418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2461656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18516228},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.067432225},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cog57401.2023.10333163","pdf_url":null,"source":{"id":"https://openalex.org/S4363608335","display_name":"2021 IEEE Conference on Games (CoG)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2307.03379","pdf_url":"https://arxiv.org/pdf/2307.03379","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2307.03379","pdf_url":"https://arxiv.org/pdf/2307.03379","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W100724795","https://openalex.org/W1495343868","https://openalex.org/W1998705234","https://openalex.org/W2013324368","https://openalex.org/W2091516633","https://openalex.org/W2140246545","https://openalex.org/W2738388077","https://openalex.org/W2761662906","https://openalex.org/W2992981726","https://openalex.org/W3188289886","https://openalex.org/W4232516005"],"related_works":["https://openalex.org/W972276598","https://openalex.org/W4324119010","https://openalex.org/W4321353415","https://openalex.org/W4246352526","https://openalex.org/W4230315250","https://openalex.org/W3128130598","https://openalex.org/W2745001401","https://openalex.org/W2378211422","https://openalex.org/W2130974462","https://openalex.org/W2028665553"],"abstract_inverted_index":{"This":[0],"short":[1],"paper":[2],"presents":[3],"an":[4,34,106],"efficient":[5,35],"path":[6,37,57,64,108],"following":[7,109],"solution":[8,40],"for":[9,33],"ground":[10],"vehicles":[11],"tailored":[12],"to":[13,23,44,54,105],"game":[14],"AI.":[15],"Our":[16,39],"focus":[17],"is":[18,66],"on":[19],"adapting":[20],"established":[21],"techniques":[22],"design":[24],"simple":[25],"solutions":[26],"with":[27],"parameters":[28],"that":[29],"are":[30],"easily":[31],"tunable":[32],"benchmark":[36],"follower.":[38],"pays":[41],"particular":[42],"attention":[43],"computing":[45],"a":[46,69,75,94],"target":[47],"speed":[48],"which":[49],"uses":[50],"quadratic":[51],"B\u00e9zier":[52],"curves":[53],"estimate":[55],"the":[56,62,98],"curvature.":[58],"The":[59],"performance":[60],"of":[61,71,88,101],"proposed":[63],"follower":[65],"evaluated":[67],"through":[68],"variety":[70],"test":[72],"scenarios":[73],"in":[74,84,97],"first-person":[76],"shooter":[77],"game,":[78],"demonstrating":[79],"its":[80],"effectiveness":[81],"and":[82,90],"robustness":[83],"handling":[85],"different":[86],"types":[87],"paths":[89],"vehicles.":[91],"We":[92],"achieved":[93],"70%":[95],"decrease":[96],"total":[99],"number":[100],"stuck":[102],"events":[103],"compared":[104],"existing":[107],"solution.":[110]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4389302505","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-04-24T00:42:11.256236","created_date":"2023-12-05"}