{"id":"https://openalex.org/W2918071287","doi":"https://doi.org/10.1109/tits.2019.2896375","title":"On Reliable Neural Network Sensorimotor Control in Autonomous Vehicles","display_name":"On Reliable Neural Network Sensorimotor Control in Autonomous Vehicles","publication_year":2019,"publication_date":"2019-02-18","ids":{"openalex":"https://openalex.org/W2918071287","doi":"https://doi.org/10.1109/tits.2019.2896375","mag":"2918071287"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2019.2896375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2896375","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5029810736","display_name":"Alice Plebe","orcid":"https://orcid.org/0000-0001-8567-0553"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alice Plebe","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0001-8567-0553","affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064263893","display_name":"Mauro Da Lio","orcid":"https://orcid.org/0000-0002-6619-9484"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mauro Da Lio","raw_affiliation_strings":["Department of Industrial Engineering, University of Trento, Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0002-6619-9484","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030987431","display_name":"D. Bortoluzzi","orcid":"https://orcid.org/0000-0003-2094-0668"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Bortoluzzi","raw_affiliation_strings":["Department of Industrial Engineering, University of Trento, Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0003-2094-0668","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":1.4807,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8299582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"21","issue":"2","first_page":"711","last_page":"722"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9986000061035156,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9976000189781189,"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":0.6691712141036987},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6259649991989136},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6252647042274475},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6086883544921875},{"id":"https://openalex.org/keywords/structuring","display_name":"Structuring","score":0.5834562182426453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5783814191818237},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.5338142514228821},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5093968510627747},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.505198061466217},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.48060986399650574},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.44016045331954956},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.42827707529067993},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.42056381702423096},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3276575803756714},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23081764578819275},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.2275276780128479},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.20213276147842407},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11098119616508484},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.0893191397190094},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08260703086853027}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6691712141036987},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6259649991989136},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6252647042274475},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6086883544921875},{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.5834562182426453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5783814191818237},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.5338142514228821},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5093968510627747},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.505198061466217},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.48060986399650574},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.44016045331954956},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.42827707529067993},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.42056381702423096},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3276575803756714},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23081764578819275},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.2275276780128479},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.20213276147842407},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11098119616508484},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0893191397190094},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08260703086853027},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tits.2019.2896375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2896375","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},{"id":"pmh:oai:iris.unitn.it:11572/230911","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/230911","pdf_url":null,"source":{"id":"https://openalex.org/S4377196320","display_name":"Iris (University of Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4932681297","display_name":null,"funder_award_id":"H2020 731593","funder_id":"https://openalex.org/F4320334697","funder_display_name":"Directorate-General for Information Society and Media"}],"funders":[{"id":"https://openalex.org/F4320334697","display_name":"Directorate-General for Information Society and Media","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W59561090","https://openalex.org/W1162378864","https://openalex.org/W1511480476","https://openalex.org/W1667652561","https://openalex.org/W1673923490","https://openalex.org/W1872653397","https://openalex.org/W1883420340","https://openalex.org/W1932198206","https://openalex.org/W1945616565","https://openalex.org/W2015861736","https://openalex.org/W2059720101","https://openalex.org/W2076063813","https://openalex.org/W2097856935","https://openalex.org/W2099471712","https://openalex.org/W2118125647","https://openalex.org/W2119112357","https://openalex.org/W2122666990","https://openalex.org/W2123407276","https://openalex.org/W2136922672","https://openalex.org/W2150341604","https://openalex.org/W2167224731","https://openalex.org/W2261254692","https://openalex.org/W2282821441","https://openalex.org/W2332488709","https://openalex.org/W2342840547","https://openalex.org/W2460937040","https://openalex.org/W2477231637","https://openalex.org/W2478820856","https://openalex.org/W2489379902","https://openalex.org/W2505763307","https://openalex.org/W2508156266","https://openalex.org/W2525936901","https://openalex.org/W2559924584","https://openalex.org/W2563313883","https://openalex.org/W2583729509","https://openalex.org/W2611576673","https://openalex.org/W2734506812","https://openalex.org/W2734677449","https://openalex.org/W2744283806","https://openalex.org/W2753415590","https://openalex.org/W2759471388","https://openalex.org/W2790718240","https://openalex.org/W2951972811","https://openalex.org/W2962790223","https://openalex.org/W2963087201","https://openalex.org/W2963207607","https://openalex.org/W2963467071","https://openalex.org/W2964108846","https://openalex.org/W2964350391","https://openalex.org/W3104471247","https://openalex.org/W4205947740","https://openalex.org/W4299408792","https://openalex.org/W4300511536","https://openalex.org/W4302296459","https://openalex.org/W4320013936","https://openalex.org/W6602466129","https://openalex.org/W6639294450","https://openalex.org/W6640300313","https://openalex.org/W6640425456","https://openalex.org/W6684338915","https://openalex.org/W6694260854","https://openalex.org/W6718991148","https://openalex.org/W6725508424","https://openalex.org/W6742226558"],"related_works":["https://openalex.org/W4251394462","https://openalex.org/W1580673008","https://openalex.org/W1510936208","https://openalex.org/W2486167009","https://openalex.org/W1595575899","https://openalex.org/W2366107444","https://openalex.org/W756498608","https://openalex.org/W2135201366","https://openalex.org/W4285395220","https://openalex.org/W2493576743"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,72,109],"(deep)":[4],"neural":[5,24],"network":[6,25],"implementations":[7],"of":[8,36],"sensorimotor":[9],"control":[10],"for":[11,130],"automated":[12],"driving.":[13],"We":[14,126],"show":[15],"how":[16],"to":[17,40,65,75,98,143],"construct":[18],"complex":[19,55,77],"behaviors":[20,56,78],"by":[21,79],"re-using":[22],"elementary":[23,84,100],"building":[26],"blocks":[27],"that":[28,48,114],"can":[29,139],"be":[30,141],"trained":[31,51],"and":[32,45],"tested":[33],"extensively;":[34],"one":[35],"our":[37],"goals":[38],"is":[39,91],"mitigate":[41],"the":[42,63,73,81,94,103,106,110,115,136],"\u201cblack":[43],"box\u201d":[44],"verifiability":[46],"issues":[47],"affect":[49],"end-to-end":[50],"networks.":[52],"By":[53],"structuring":[54],"within":[57],"a":[58],"subsumption":[59,111],"architecture,":[60],"we":[61],"retain":[62],"ability":[64,74],"learn":[66,99],"(mostly":[67],"at":[68],"motor":[69],"primitives":[70],"level)":[71],"create":[76],"subsuming":[80],"(well-known)":[82],"learned":[83],"perception-action":[85],"loops.":[86],"The":[87],"learning":[88],"process":[89],"itself":[90],"simplified,":[92],"since":[93],"agent":[95,116],"needs":[96],"only":[97],"behaviors.":[101],"At":[102],"same":[104],"time,":[105],"structure":[107],"imposed":[108],"architecture":[112],"ensures":[113],"behaves":[117],"in":[118],"predictable":[119],"ways":[120],"(e.g.,":[121],"treating":[122],"all":[123],"obstacles":[124],"uniformly).":[125],"demonstrate":[127],"these":[128],"ideas":[129],"longitudinal":[131],"obstacle":[132],"avoidance":[133],"behavior,":[134],"but":[135],"proposed":[137],"approach":[138],"also":[140],"adapted":[142],"other":[144],"situations.":[145]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
