{"id":"https://openalex.org/W7135226511","doi":"https://doi.org/10.1109/iccp68926.2025.11427111","title":"GPU-based Parallel Collision Detection for AGV Path Planning","display_name":"GPU-based Parallel Collision Detection for AGV Path Planning","publication_year":2025,"publication_date":"2025-10-16","ids":{"openalex":"https://openalex.org/W7135226511","doi":"https://doi.org/10.1109/iccp68926.2025.11427111"},"language":null,"primary_location":{"id":"doi:10.1109/iccp68926.2025.11427111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp68926.2025.11427111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Intelligent Computer Communication and Processing (ICCP)","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/A5128944509","display_name":"Annalisa Panicieri","orcid":null},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Annalisa Panicieri","raw_affiliation_strings":["University of Parma,Dipartimento di Ingegneria e Architettura,Parco Area delle Scienze 181/A,Italy,43124"],"affiliations":[{"raw_affiliation_string":"University of Parma,Dipartimento di Ingegneria e Architettura,Parco Area delle Scienze 181/A,Italy,43124","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045766754","display_name":"Ernesto Fontana","orcid":"https://orcid.org/0000-0002-1476-9094"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ernesto Fontana","raw_affiliation_strings":["University of Parma,Dipartimento di Ingegneria e Architettura,Parco Area delle Scienze 181/A,Italy,43124"],"affiliations":[{"raw_affiliation_string":"University of Parma,Dipartimento di Ingegneria e Architettura,Parco Area delle Scienze 181/A,Italy,43124","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046328529","display_name":"Dario Lodi Rizzini","orcid":"https://orcid.org/0000-0002-3904-0638"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dario Lodi Rizzini","raw_affiliation_strings":["University of Parma,Dipartimento di Ingegneria e Architettura,Parco Area delle Scienze 181/A,Italy,43124"],"affiliations":[{"raw_affiliation_string":"University of Parma,Dipartimento di Ingegneria e Architettura,Parco Area delle Scienze 181/A,Italy,43124","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067471531","display_name":"Stefano Caselli","orcid":"https://orcid.org/0000-0003-0774-7871"},"institutions":[{"id":"https://openalex.org/I4210109505","display_name":"Ambiente Italia (Italy)","ror":"https://ror.org/017epgn33","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210109505"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Caselli","raw_affiliation_strings":["Centro Interdipartimentale per l’Energia e l’Ambiente (CIDEA), University of Parma,RIMLab (Robotics and Intelligent Machines Laboratory),Dipartimento di Ingegneria e Architettura,Italy,43124"],"affiliations":[{"raw_affiliation_string":"Centro Interdipartimentale per l’Energia e l’Ambiente (CIDEA), University of Parma,RIMLab (Robotics and Intelligent Machines Laboratory),Dipartimento di Ingegneria e Architettura,Italy,43124","institution_ids":["https://openalex.org/I4210109505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5128944509"],"corresponding_institution_ids":["https://openalex.org/I124601658"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.76744664,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.8589000105857849,"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":0.8589000105857849,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.07590000331401825,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.0026000000070780516,"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/motion-planning","display_name":"Motion planning","score":0.5019000172615051},{"id":"https://openalex.org/keywords/collision-detection","display_name":"Collision detection","score":0.4733000099658966},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4374000132083893},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.3686000108718872},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.34060001373291016},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.3310999870300293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5605999827384949},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5019000172615051},{"id":"https://openalex.org/C199668693","wikidata":"https://www.wikidata.org/wiki/Q1550329","display_name":"Collision detection","level":3,"score":0.4733000099658966},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4374000132083893},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3458999991416931},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.34060001373291016},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3310999870300293},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3124000132083893},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3093000054359436},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.29490000009536743},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.2930000126361847},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2786000072956085},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2759000062942505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27459999918937683},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.25529998540878296},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp68926.2025.11427111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp68926.2025.11427111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1424654272","https://openalex.org/W1497695555","https://openalex.org/W1514685314","https://openalex.org/W1965312543","https://openalex.org/W1989407213","https://openalex.org/W1996615911","https://openalex.org/W2021257078","https://openalex.org/W2027931070","https://openalex.org/W2042342424","https://openalex.org/W2114510811","https://openalex.org/W2120633474","https://openalex.org/W2128044026","https://openalex.org/W2191404279","https://openalex.org/W2791724942","https://openalex.org/W2899934742","https://openalex.org/W3131739705","https://openalex.org/W3152770304","https://openalex.org/W3174155048","https://openalex.org/W4312307445","https://openalex.org/W4387860150","https://openalex.org/W4416308502"],"related_works":[],"abstract_inverted_index":{"The":[0,124],"growing":[1],"deployment":[2],"of":[3,36,63,129,138],"Automated":[4],"Guided":[5],"Vehicles":[6],"(AGVs)":[7],"in":[8,79],"industrial":[9],"and":[10,15,23,72,89,97,136],"logistical":[11],"environments":[12],"demands":[13],"efficient":[14],"scalable":[16],"collision":[17,46,73,131],"detection":[18,47,122,132],"mechanisms":[19],"to":[20,30,93,111,114,133],"ensure":[21],"safe":[22],"uninterrupted":[24],"operation.":[25],"Traditional":[26],"CPU-based":[27],"methods":[28],"struggle":[29],"meet":[31],"the":[32,60,127],"real-time":[33],"performance":[34],"requirements":[35],"large-scale,":[37],"dynamic":[38],"AGV":[39,104,140],"systems.":[40,141],"This":[41],"paper":[42],"presents":[43],"a":[44],"parallel":[45],"algorithm":[48],"specifically":[49],"optimized":[50],"for":[51],"execution":[52],"on":[53,103],"Graphics":[54],"Processing":[55],"Units":[56],"(GPUs).":[57],"By":[58],"leveraging":[59],"inherent":[61],"parallelism":[62],"GPU":[64],"architectures,":[65],"our":[66],"approach":[67],"significantly":[68],"accelerates":[69],"proximity":[70],"checks":[71],"resolution":[74],"among":[75],"multiple":[76],"AGVs":[77],"operating":[78],"complex":[80],"environments.":[81],"We":[82],"explore":[83],"data-parallel":[84],"strategies,":[85],"including":[86],"spatial":[87],"partitioning":[88],"bounding":[90],"volume":[91],"hierarchies,":[92],"manage":[94],"computational":[95],"load":[96],"reduce":[98],"latency.":[99],"Performance":[100],"evaluations":[101],"conducted":[102],"fleets":[105],"show":[106],"substantial":[107],"speed-up":[108],"\u2014":[109,118],"up":[110],"30x":[112],"compared":[113],"OpenMP-based":[115],"CPU":[116],"implementations":[117],"while":[119],"maintaining":[120],"high":[121],"accuracy.":[123],"results":[125],"highlight":[126],"potential":[128],"GPU-accelerated":[130],"enhance":[134],"responsiveness":[135],"safety":[137],"next-generation":[139]},"counts_by_year":[],"updated_date":"2026-03-15T07:15:06.534987","created_date":"2026-03-14T00:00:00"}