{"id":"https://openalex.org/W2990169293","doi":"https://doi.org/10.1109/isncc.2019.8909159","title":"Finding better learning algorithms for self-driving cars: An overview of the LAOP platform","display_name":"Finding better learning algorithms for self-driving cars: An overview of the LAOP platform","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2990169293","doi":"https://doi.org/10.1109/isncc.2019.8909159","mag":"2990169293"},"language":"en","primary_location":{"id":"doi:10.1109/isncc.2019.8909159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc.2019.8909159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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":true,"raw_author_name":"Jihene Rezgui","raw_affiliation_strings":["Laboratoire Recherche Informatique Maisonneuve (LRIMa),Montreal,Canada","Laboratoire Recherche Informatique Maisonneuve (LRIMa), Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Laboratoire Recherche Informatique Maisonneuve (LRIMa),Montreal,Canada","institution_ids":["https://openalex.org/I7321730","https://openalex.org/I4210118435"]},{"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/I7321730","display_name":"Coll\u00e8ge de Maisonneuve","ror":"https://ror.org/04q77sg93","country_code":"CA","type":"education","lineage":["https://openalex.org/I7321730"]},{"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"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Cl\u00e9ment Bisaillon","raw_affiliation_strings":["Laboratoire Recherche Informatique Maisonneuve (LRIMa),Montreal,Canada","Laboratoire Recherche Informatique Maisonneuve (LRIMa), Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Laboratoire Recherche Informatique Maisonneuve (LRIMa),Montreal,Canada","institution_ids":["https://openalex.org/I7321730","https://openalex.org/I4210118435"]},{"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":"L\u00e9onard Oest O'Leary","raw_affiliation_strings":["Laboratoire Recherche Informatique Maisonneuve (LRIMa),Montreal,Canada","Laboratoire Recherche Informatique Maisonneuve (LRIMa), Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Laboratoire Recherche Informatique Maisonneuve (LRIMa),Montreal,Canada","institution_ids":["https://openalex.org/I7321730","https://openalex.org/I4210118435"]},{"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":["https://openalex.org/A5111655420"],"corresponding_institution_ids":["https://openalex.org/I4210118435","https://openalex.org/I7321730"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58574961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9983999729156494,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9977999925613403,"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/neuroevolution","display_name":"Neuroevolution","score":0.8241473436355591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7737576961517334},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7047210335731506},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.60112464427948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5808199644088745},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5595974922180176},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47090673446655273},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4633064866065979},{"id":"https://openalex.org/keywords/java","display_name":"Java","score":0.4545908570289612},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44535213708877563}],"concepts":[{"id":"https://openalex.org/C118070581","wikidata":"https://www.wikidata.org/wiki/Q2060528","display_name":"Neuroevolution","level":3,"score":0.8241473436355591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7737576961517334},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7047210335731506},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.60112464427948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5808199644088745},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5595974922180176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47090673446655273},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4633064866065979},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.4545908570289612},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44535213708877563},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isncc.2019.8909159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc.2019.8909159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Symposium on Networks, Computers and Communications (ISNCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2111935653","https://openalex.org/W2224737817","https://openalex.org/W4295719664"],"related_works":["https://openalex.org/W2168909409","https://openalex.org/W2144357723","https://openalex.org/W2950402165","https://openalex.org/W2114981325","https://openalex.org/W4302038648","https://openalex.org/W2099397840","https://openalex.org/W2249125133","https://openalex.org/W2857150653","https://openalex.org/W1696690530","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Cars":[0],"are":[1,30,47,152],"becoming":[2],"more":[3,5],"and":[4,28,66,107,143,183],"intelligent,":[6],"embedded":[7],"with":[8,124],"a":[9,70,81,120,125],"range":[10],"of":[11,18,146,157],"sensors":[12],"to":[13,99,105,130],"give":[14],"them":[15],"local":[16],"perception":[17],"their":[19,109],"environment":[20],"(LIDARs,":[21],"cameras,":[22],"etc.).":[23],"Trendy":[24],"companies":[25],"like":[26],"Google":[27],"Tesla":[29],"actively":[31],"testing":[32],"cars":[33],"on":[34,160],"American":[35],"roads":[36],"that":[37],"can":[38],"drive":[39],"without":[40],"any":[41],"human":[42],"interaction":[43],"[1].":[44],"Neural":[45,141],"networks":[46],"the":[48,62,95,138,144,155,166,179,184,188],"modern":[49],"approach":[50],"for":[51,103],"autonomous":[52,73],"cars.":[53],"However,":[54],"an":[55],"inefficient":[56],"neural":[57,126],"network":[58,127],"algorithm":[59,123],"will":[60,67,79,114,135,164],"make":[61,100],"learning":[63,159],"process":[64],"slower":[65],"result":[68],"in":[69,84,128,154,187],"less":[71],"reliable":[72],"vehicle.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78,97,113,117,134,163],"introduce":[80],"platform":[82],"built":[83],"JAVA":[85],"named":[86],"LAOP":[87,171],"(Learning":[88],"Algorithm":[89],"Optimization":[90],"Platform)":[91],"[2]":[92],"while":[93],"explaining":[94],"solutions":[96],"found":[98],"it":[101],"easy":[102],"researchers":[104],"test":[106],"compare":[108],"own":[110],"algorithms.":[111],"Then,":[112],"show":[115],"how":[116,137],"have":[118],"integrated":[119],"natural":[121],"selection":[122],"order":[129],"improve":[131],"them.":[132],"Moreover,":[133],"demonstrate":[136],"Fully":[139],"Connected":[140],"Network":[142],"NeuroEvolution":[145],"Augmenting":[147],"Topologies":[148],"(NEAT)":[149],"[3]":[150],"algorithms":[151],"implemented":[153],"context":[156],"vehicular":[158],"LAOP.":[161],"Finally,":[162],"display":[165],"different":[167],"results":[168],"extracted":[169],"from":[170],"by":[172],"tuning":[173],"several":[174],"various":[175],"parameters":[176],"such":[177],"as":[178],"weight":[180],"mutation":[181],"chance":[182],"car":[185],"density":[186],"simulation.":[189]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
