{"id":"https://openalex.org/W2990975303","doi":"https://doi.org/10.1109/smc.2019.8914219","title":"Comfort-oriented Haptic Guidance Steering via Deep Reinforcement Learning for Individualized Lane Keeping Assist","display_name":"Comfort-oriented Haptic Guidance Steering via Deep Reinforcement Learning for Individualized Lane Keeping Assist","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2990975303","doi":"https://doi.org/10.1109/smc.2019.8914219","mag":"2990975303"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2019.8914219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8914219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5087162559","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0002-7589-7954"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010250787","display_name":"Zhanhong Yan","orcid":"https://orcid.org/0000-0002-4042-7573"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhanhong Yan","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023192293","display_name":"Kimihiko Nakano","orcid":"https://orcid.org/0000-0003-3532-960X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kimihiko Nakano","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":2.0124,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.8850165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4283","last_page":"4289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9987000226974487,"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":0.9987000226974487,"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/haptic-technology","display_name":"Haptic technology","score":0.9390890598297119},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7727277278900146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6052441000938416},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.5564916133880615},{"id":"https://openalex.org/keywords/guidance-system","display_name":"Guidance system","score":0.4700918197631836},{"id":"https://openalex.org/keywords/steering-wheel","display_name":"Steering wheel","score":0.449345201253891},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.4490427076816559},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.42799338698387146},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41124939918518066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32812416553497314},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26166704297065735},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.11115476489067078}],"concepts":[{"id":"https://openalex.org/C152086174","wikidata":"https://www.wikidata.org/wiki/Q3030571","display_name":"Haptic technology","level":2,"score":0.9390890598297119},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7727277278900146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6052441000938416},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.5564916133880615},{"id":"https://openalex.org/C201004817","wikidata":"https://www.wikidata.org/wiki/Q1707071","display_name":"Guidance system","level":2,"score":0.4700918197631836},{"id":"https://openalex.org/C2780354894","wikidata":"https://www.wikidata.org/wiki/Q679300","display_name":"Steering wheel","level":2,"score":0.449345201253891},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.4490427076816559},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.42799338698387146},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41124939918518066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32812416553497314},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26166704297065735},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.11115476489067078},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2019.8914219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8914219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6681202126","display_name":"Driver behavior modeling and its application to a guidance-as-needed steering system for individualized lane change assistance","funder_award_id":"19K20318","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W587752234","https://openalex.org/W1505940697","https://openalex.org/W1823588389","https://openalex.org/W1976479325","https://openalex.org/W2002200970","https://openalex.org/W2016576151","https://openalex.org/W2059361056","https://openalex.org/W2083261180","https://openalex.org/W2088163118","https://openalex.org/W2120328935","https://openalex.org/W2131076267","https://openalex.org/W2132479764","https://openalex.org/W2145339207","https://openalex.org/W2151068640","https://openalex.org/W2162489854","https://openalex.org/W2609654860","https://openalex.org/W2789260965","https://openalex.org/W2896680740","https://openalex.org/W2962776080"],"related_works":["https://openalex.org/W156716224","https://openalex.org/W2111871955","https://openalex.org/W3175380930","https://openalex.org/W1989694608","https://openalex.org/W2139876914","https://openalex.org/W1986738380","https://openalex.org/W2642061445","https://openalex.org/W2774691751","https://openalex.org/W2128161226","https://openalex.org/W1584069627"],"abstract_inverted_index":{"One":[0],"challenge":[1],"of":[2,32,81,100,118,167,178],"haptic":[3,35,119,124,131,139,185],"guidance":[4,36,120,125,132,140,186],"steering":[5,37,103,110,150,187],"system":[6,38,163,188],"is":[7,52,85],"to":[8,59,70,170,183],"be":[9],"both":[10],"efficient":[11],"on":[12,28,54,87,148],"reducing":[13,149],"lane":[14,44,88,101,157],"departure":[15],"risk":[16],"and":[17,30,67,102,129,194],"as":[18,20,77],"comfort":[19],"possible":[21],"for":[22,43,189],"driver":[23,68,192],"acceptance.":[24],"This":[25,173],"paper":[26,174],"focuses":[27],"design":[29,51,184],"evaluation":[31,84],"a":[33,55,155],"comfort-oriented":[34],"via":[39,141],"deep":[40,180],"reinforcement":[41,142,181],"learning":[42,143,182],"keeping":[45,89,158],"purpose":[46],"by":[47,92,107],"numerical":[48],"simulation.":[49],"The":[50,83,135],"based":[53,86],"Deep":[56],"Q":[57],"Network":[58],"learn":[60],"an":[61],"end-to-end":[62],"mapping":[63],"from":[64,97],"environmental":[65],"observation":[66],"input":[69],"agent":[71],"action":[72],"values,":[73],"with":[74,126],"task":[75],"reward":[76],"the":[78,98,145,161,176],"only":[79],"form":[80],"supervision.":[82],"accuracy":[90],"measured":[91,106],"mean":[93,108],"absolute":[94,109],"lateral":[95],"error":[96],"centerline":[99],"control":[104,151],"activity":[105,152],"wheel":[111],"angle.":[112],"By":[113],"comparison,":[114],"other":[115],"two":[116],"types":[117],"steering,":[121],"namely":[122],"continuous":[123],"constant":[127],"gain":[128],"threshold-based":[130],"are":[133],"addressed.":[134],"results":[136],"indicate":[137],"that":[138],"has":[144],"best":[146],"performance":[147],"while":[153],"remaining":[154],"high":[156],"accuracy.":[159],"Furthermore,":[160],"proposed":[162],"shows":[164],"its":[165],"capability":[166],"being":[168],"adaptive":[169],"individualized":[171,191],"drivers.":[172],"suggests":[175],"potential":[177],"using":[179],"improving":[190],"safety":[193],"comfort.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}