{"id":"https://openalex.org/W4388726864","doi":"https://doi.org/10.1109/iecon51785.2023.10312659","title":"Autonomous Driving with Human Guided Image Feature Extraction","display_name":"Autonomous Driving with Human Guided Image Feature Extraction","publication_year":2023,"publication_date":"2023-10-16","ids":{"openalex":"https://openalex.org/W4388726864","doi":"https://doi.org/10.1109/iecon51785.2023.10312659"},"language":"en","primary_location":{"id":"doi:10.1109/iecon51785.2023.10312659","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iecon51785.2023.10312659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society","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/A5052583539","display_name":"Xianwei Chen","orcid":"https://orcid.org/0000-0002-5646-3245"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianwei Chen","raw_affiliation_strings":["College of Control Science and Engineering Zhejiang University,Hangzhou,China,310027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering Zhejiang University,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050210424","display_name":"Yilin Lang","orcid":"https://orcid.org/0000-0002-9381-9888"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilin Lang","raw_affiliation_strings":["College of Control Science and Engineering Zhejiang University,Hangzhou,China,310027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering Zhejiang University,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101540851","display_name":"Haoran Xu","orcid":"https://orcid.org/0000-0002-9943-6423"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Xu","raw_affiliation_strings":["College of Control Science and Engineering Zhejiang University,Hangzhou,China,310027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering Zhejiang University,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041199618","display_name":"Qinyuan Ren","orcid":"https://orcid.org/0000-0001-9487-2675"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinyuan Ren","raw_affiliation_strings":["College of Control Science and Engineering Zhejiang University,Hangzhou,China,310027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering Zhejiang University,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"31","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":0.9994999766349792,"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":0.9994999766349792,"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":0.9958000183105469,"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":0.9904999732971191,"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":0.7840619087219238},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7624701857566833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7351537346839905},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6324885487556458},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5612730383872986},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5465689301490784},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5385542511940002},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5362813472747803},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5200386047363281},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47749799489974976},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4377683401107788},{"id":"https://openalex.org/keywords/cloning","display_name":"Cloning (programming)","score":0.41770634055137634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7840619087219238},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7624701857566833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7351537346839905},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6324885487556458},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5612730383872986},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5465689301490784},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5385542511940002},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5362813472747803},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5200386047363281},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47749799489974976},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4377683401107788},{"id":"https://openalex.org/C121050878","wikidata":"https://www.wikidata.org/wiki/Q5135020","display_name":"Cloning (programming)","level":2,"score":0.41770634055137634},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/iecon51785.2023.10312659","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iecon51785.2023.10312659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society","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":17,"referenced_works":["https://openalex.org/W2233094356","https://openalex.org/W2460227421","https://openalex.org/W2792807706","https://openalex.org/W2889731659","https://openalex.org/W2903311463","https://openalex.org/W2921602285","https://openalex.org/W2930426397","https://openalex.org/W2990646107","https://openalex.org/W3022220688","https://openalex.org/W3046145925","https://openalex.org/W3090153548","https://openalex.org/W3090622150","https://openalex.org/W3097323743","https://openalex.org/W3135683069","https://openalex.org/W4226033182","https://openalex.org/W6754302822","https://openalex.org/W6810238945"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Autonomous":[0],"driving":[1,100,125],"is":[2,13,89],"currently":[3],"one":[4],"of":[5,32,43,105,111],"the":[6,14,25,60,83,87,103],"most":[7],"popular":[8],"topics,":[9],"and":[10,16],"computer":[11],"vision":[12],"key":[15],"perception-related":[17],"technology":[18],"in":[19,46,75],"this":[20,112],"field.":[21],"Although":[22],"images":[23,80],"have":[24],"ability":[26],"to":[27,67,96],"contain":[28],"a":[29,40,53,69,92,118],"large":[30],"amount":[31],"crucial":[33],"feature":[34],"information,":[35],"deep":[36,70],"learning":[37,54,76],"methods":[38],"require":[39],"significant":[41],"number":[42],"samples,":[44],"resulting":[45],"low":[47],"data":[48],"utilization.":[49],"This":[50],"paper":[51],"proposes":[52],"from":[55,63,78],"demonstration":[56],"approach":[57],"that":[58,122],"leverages":[59],"control":[61,94,120],"laws":[62],"human":[64,124],"expert":[65,107],"drivers":[66],"guide":[68],"convolutional":[71],"neural":[72],"network":[73],"(CNN)":[74],"features":[77],"RGB":[79],"captured":[81],"by":[82],"forward-facing":[84],"camera.":[85],"Subsequently,":[86],"CNN":[88],"utilized":[90],"as":[91],"differentiable":[93],"layer":[95],"obtain":[97],"an":[98,106],"autonomous":[99],"agent":[101],"with":[102],"capabilities":[104],"driver.":[108],"Experimental":[109],"results":[110],"method":[113],"are":[114],"analyzed":[115],"for":[116],"designing":[117],"lane-keeping":[119],"system":[121],"learns":[123],"style":[126],"via":[127],"behavioral":[128],"cloning.":[129]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}