{"id":"https://openalex.org/W3114393955","doi":"https://doi.org/10.1109/isncc49221.2020.9297192","title":"A platform for Sharing Artificial Intelligence Algorithms in Autonomous Driving : An overview of Enhanced LAOP","display_name":"A platform for Sharing Artificial Intelligence Algorithms in Autonomous Driving : An overview of Enhanced LAOP","publication_year":2020,"publication_date":"2020-10-20","ids":{"openalex":"https://openalex.org/W3114393955","doi":"https://doi.org/10.1109/isncc49221.2020.9297192","mag":"3114393955"},"language":"en","primary_location":{"id":"doi:10.1109/isncc49221.2020.9297192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc49221.2020.9297192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Symposium on Networks, Computers and Communications (ISNCC)","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/A5111655420","display_name":"Jihene Rezgui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118435","display_name":"Laboratoire Recherche Informatique Maisonneuve","ror":"https://ror.org/02r2sc792","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210118435"]},{"id":"https://openalex.org/I7321730","display_name":"Coll\u00e8ge de Maisonneuve","ror":"https://ror.org/04q77sg93","country_code":"CA","type":"education","lineage":["https://openalex.org/I7321730"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jihene REZGUI","raw_affiliation_strings":["Laboratoire Recherche Informatique Maisonneuve (LRIMa), Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire Recherche Informatique Maisonneuve (LRIMa), Montreal, Canada","institution_ids":["https://openalex.org/I7321730","https://openalex.org/I4210118435"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089624906","display_name":"Clement Bisaillon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118435","display_name":"Laboratoire Recherche Informatique Maisonneuve","ror":"https://ror.org/02r2sc792","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210118435"]},{"id":"https://openalex.org/I7321730","display_name":"Coll\u00e8ge de Maisonneuve","ror":"https://ror.org/04q77sg93","country_code":"CA","type":"education","lineage":["https://openalex.org/I7321730"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Clement BISAILLON","raw_affiliation_strings":["Laboratoire Recherche Informatique Maisonneuve (LRIMa), Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire Recherche Informatique Maisonneuve (LRIMa), Montreal, Canada","institution_ids":["https://openalex.org/I7321730","https://openalex.org/I4210118435"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088783781","display_name":"L\u00e9onard Oest O'leary","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118435","display_name":"Laboratoire Recherche Informatique Maisonneuve","ror":"https://ror.org/02r2sc792","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210118435"]},{"id":"https://openalex.org/I7321730","display_name":"Coll\u00e8ge de Maisonneuve","ror":"https://ror.org/04q77sg93","country_code":"CA","type":"education","lineage":["https://openalex.org/I7321730"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Leonard OEST O'LEARY","raw_affiliation_strings":["Laboratoire Recherche Informatique Maisonneuve (LRIMa), Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire Recherche Informatique Maisonneuve (LRIMa), Montreal, Canada","institution_ids":["https://openalex.org/I7321730","https://openalex.org/I4210118435"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18153726,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9986000061035156,"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":0.9986000061035156,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9973999857902527,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8097882866859436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7731499671936035},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6459857821464539},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6352023482322693},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6133955717086792},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5626654028892517},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47866544127464294},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35469213128089905}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8097882866859436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7731499671936035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6459857821464539},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6352023482322693},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6133955717086792},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5626654028892517},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47866544127464294},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35469213128089905},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isncc49221.2020.9297192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc49221.2020.9297192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Symposium on Networks, Computers and Communications (ISNCC)","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":4,"referenced_works":["https://openalex.org/W2342840547","https://openalex.org/W2888375042","https://openalex.org/W2962702341","https://openalex.org/W2962762260"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W2586732548","https://openalex.org/W4380075502"],"abstract_inverted_index":{"To":[0,30],"solve":[1],"the":[2,22,31,66,82,95,115,134],"Autonomous":[3],"Vehicle":[4],"(AV)":[5],"problem,":[6],"an":[7,78],"artificial":[8,69,98],"learning":[9,47,128,142,154,167],"model":[10],"that":[11,59,182],"translates":[12],"sensor":[13],"data":[14],"into":[15],"controls":[16],"must":[17],"be":[18],"built.":[19],"This":[20],"way,":[21],"vehicle":[23],"can":[24,42,63],"react":[25],"to":[26,55,106,125,155,168],"its":[27,170],"changing":[28],"environment.":[29],"best":[32],"of":[33,68,81,97,133,136],"our":[34,137],"knowledge,":[35],"there":[36],"are":[37],"no":[38],"platforms":[39],"where":[40],"researchers":[41,93],"both":[43],"develop":[44,100],"new":[45],"machine":[46],"models,":[48],"train":[49,156],"them":[50,53,105],"and":[51,71,109,172],"compare":[52,110],"directly":[54],"others.":[56],"We":[57,112,177],"believe":[58],"such":[60],"a":[61,131],"platform":[62],"greatly":[64],"impact":[65],"field":[67,96],"intelligence":[70,99],"AV.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76,139],"propose":[77],"enhanced":[79],"version":[80],"Learning":[83,116],"Algorithm":[84,117],"Optimization":[85],"Platform":[86,119],"LAOP,":[87],"called":[88],"LAOP":[89],"2.0.":[90],"It":[91],"helps":[92],"in":[94],"their":[101],"models":[102],"by":[103],"allowing":[104],"easily":[107],"test":[108],"them.":[111],"also":[113],"introduce":[114],"Sharing":[118],"(LASP),":[120],"which":[121],"makes":[122],"it":[123],"easy":[124],"share":[126],"deep":[127],"algorithms.":[129,143],"As":[130],"demonstration":[132],"versatility":[135],"platform,":[138],"compared":[140],"two":[141],"The":[144,158],"first":[145],"one,":[146,160],"Fully":[147],"Connected":[148],"Neural":[149],"Network":[150],"(FUCONN),":[151],"uses":[152,165],"reinforcement":[153],"itself.":[157],"second":[159],"Mimicking":[161],"HUman":[162],"Behaviour":[163],"(MHUB),":[164],"supervised":[166],"adjust":[169],"weights":[171],"learns":[173],"from":[174],"human":[175],"input.":[176],"demonstrate":[178],"through":[179],"extensive":[180],"simulations":[181],"FUCONN":[183],"outperforms":[184],"MHUB":[185],"after":[186],"being":[187],"trained.":[188]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}