{"id":"https://openalex.org/W4214832555","doi":"https://doi.org/10.1109/icaiic54071.2022.9722658","title":"Image Prediction for Lane Following Assist using Convolutional Neural Network-based U-Net","display_name":"Image Prediction for Lane Following Assist using Convolutional Neural Network-based U-Net","publication_year":2022,"publication_date":"2022-02-21","ids":{"openalex":"https://openalex.org/W4214832555","doi":"https://doi.org/10.1109/icaiic54071.2022.9722658"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic54071.2022.9722658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic54071.2022.9722658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5066817703","display_name":"Byungchan Choi","orcid":"https://orcid.org/0000-0001-6902-6370"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Byung Chan Choi","raw_affiliation_strings":["Hanyang University,Division of Electrical Engineering,Ansan,Korea","RF Seeker R&D, LIG Nex1, Yongin, Korea","Division of Electrical Engineering, Hanyang University, Ansan, Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University,Division of Electrical Engineering,Ansan,Korea","institution_ids":["https://openalex.org/I4575257"]},{"raw_affiliation_string":"RF Seeker R&D, LIG Nex1, Yongin, Korea","institution_ids":[]},{"raw_affiliation_string":"Division of Electrical Engineering, Hanyang University, Ansan, Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045732610","display_name":"Jaerock Kwon","orcid":"https://orcid.org/0000-0002-5687-6998"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaerock Kwon","raw_affiliation_strings":["University of Michigan-Dearborn,College of Engineering and Computer Science,Dearborn,MI,USA","College of Engineering and Computer Science, University of Michigan-Dearborn, Dearborn, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan-Dearborn,College of Engineering and Computer Science,Dearborn,MI,USA","institution_ids":["https://openalex.org/I4210130704"]},{"raw_affiliation_string":"College of Engineering and Computer Science, University of Michigan-Dearborn, Dearborn, MI, USA","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014061593","display_name":"Haewoon Nam","orcid":"https://orcid.org/0000-0001-9847-7023"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Haewoon Nam","raw_affiliation_strings":["Hanyang University,Division of Electrical Engineering,Ansan,Korea","Division of Electrical Engineering, Hanyang University, Ansan, Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University,Division of Electrical Engineering,Ansan,Korea","institution_ids":["https://openalex.org/I4575257"]},{"raw_affiliation_string":"Division of Electrical Engineering, Hanyang University, Ansan, Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066817703"],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":0.215,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53805766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"078","last_page":"081"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.998199999332428,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9980000257492065,"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/T10982","display_name":"Motor Control and Adaptation","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7218050360679626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7129485607147217},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6017094254493713},{"id":"https://openalex.org/keywords/throttle","display_name":"Throttle","score":0.5882891416549683},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5785316228866577},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5169233679771423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4920496344566345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4804117977619171},{"id":"https://openalex.org/keywords/internal-model","display_name":"Internal model","score":0.42218726873397827},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.41782280802726746},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3467056453227997},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3446064889431},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19372424483299255},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14701247215270996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0880204439163208}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7218050360679626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7129485607147217},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6017094254493713},{"id":"https://openalex.org/C72971556","wikidata":"https://www.wikidata.org/wiki/Q961356","display_name":"Throttle","level":2,"score":0.5882891416549683},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5785316228866577},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5169233679771423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4920496344566345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4804117977619171},{"id":"https://openalex.org/C28427503","wikidata":"https://www.wikidata.org/wiki/Q13580300","display_name":"Internal model","level":3,"score":0.42218726873397827},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.41782280802726746},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3467056453227997},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3446064889431},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19372424483299255},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14701247215270996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0880204439163208},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic54071.2022.9722658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic54071.2022.9722658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1487432464","https://openalex.org/W1901129140","https://openalex.org/W1978297723","https://openalex.org/W2032139276","https://openalex.org/W2096356851","https://openalex.org/W2114414717","https://openalex.org/W2150920224","https://openalex.org/W2552723933","https://openalex.org/W2903618123","https://openalex.org/W2906340543","https://openalex.org/W2918071287","https://openalex.org/W3155411455","https://openalex.org/W4295719664","https://openalex.org/W6629199304","https://openalex.org/W6639824700","https://openalex.org/W6745935785"],"related_works":["https://openalex.org/W2955938200","https://openalex.org/W2285788670","https://openalex.org/W2748454020","https://openalex.org/W2998526951","https://openalex.org/W3119610945","https://openalex.org/W3181746755","https://openalex.org/W2521062615","https://openalex.org/W3090693157","https://openalex.org/W2810384904","https://openalex.org/W2377690029"],"abstract_inverted_index":{"Current":[0],"autonomous":[1,30],"driving":[2,31,134],"systems":[3],"compute":[4],"steering":[5,141],"and":[6,133,140,154,165],"throttle":[7],"control":[8,23,35],"commands":[9,86],"by":[10,67],"running":[11],"perception-decision-action":[12],"pipeline":[13],"at":[14],"high":[15],"frequency.":[16],"Although":[17],"human":[18,57],"drivers":[19,34,81],"cannot":[20],"react":[21],"or":[22],"the":[24,29,49,64,71,83,123,155,163,169],"vehicles":[25,37],"as":[26,28,107,138],"quickly":[27],"softwares,":[32],"most":[33],"their":[36,92],"to":[38,45,52,158],"stay":[39],"in":[40],"lane":[41,88,97,115,124,131,152],"unless":[42],"they":[43],"intend":[44],"break":[46],"away":[47],"from":[48],"lane.":[50],"According":[51],"forward":[53,112],"internal":[54,93,113],"model":[55],"theory,":[56],"can":[58,121],"choose":[59,82],"an":[60],"optimal":[61,84],"action":[62],"for":[63,87,111],"best":[65],"outcome":[66],"internally":[68],"simulating":[69],"all":[70],"possible":[72],"consequences":[73],"of":[74,95,126,168],"various":[75],"actions.":[76],"This":[77,99,118,143],"means":[78],"that":[79],"humans":[80],"motor":[85],"following":[89,116],"based":[90,128],"on":[91,129],"simulation":[94],"near-future":[96,127],"changes.":[98],"paper":[100,144],"proposes":[101],"a":[102,108],"convolutional":[103],"neural":[104],"network-based":[105],"U-Net":[106],"state":[109,119],"estimator":[110,120],"model-based":[114],"assist.":[117],"predict":[122],"image":[125,132,153],"current":[130,151],"status":[135],"data,":[136],"such":[137],"speed":[139],"angle.":[142],"also":[145],"explains":[146],"how":[147],"time":[148],"difference":[149],"between":[150],"next":[156],"one":[157],"be":[159],"predicted":[160],"will":[161],"affect":[162],"training":[164],"prediction":[166],"output":[167],"estimator.":[170]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
