{"id":"https://openalex.org/W2026520611","doi":"https://doi.org/10.1109/iros.2010.5650300","title":"Self-supervised learning method for unstructured road detection using Fuzzy Support Vector Machines","display_name":"Self-supervised learning method for unstructured road detection using Fuzzy Support Vector Machines","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2026520611","doi":"https://doi.org/10.1109/iros.2010.5650300","mag":"2026520611"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2010.5650300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2010.5650300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5111791983","display_name":"Shengyan Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I68581759","display_name":"China Academy of Launch Vehicle Technology","ror":"https://ror.org/012z62f48","country_code":"CN","type":"facility","lineage":["https://openalex.org/I68581759"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shengyan Zhou","raw_affiliation_strings":["Intelligent Vehicle Research Center, Beijing Institute of Technology, China","[Intelligent Vehicle Research Center, Beijing Institute of Technology, China]"],"affiliations":[{"raw_affiliation_string":"Intelligent Vehicle Research Center, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I68581759","https://openalex.org/I125839683"]},{"raw_affiliation_string":"[Intelligent Vehicle Research Center, Beijing Institute of Technology, China]","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109992129","display_name":"Karl Iagnemma","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K Iagnemma","raw_affiliation_strings":["Robotic Mobility Group, Massachusetts Institute of Technology, USA","Robotic Mobility Group, MIT, USA"],"affiliations":[{"raw_affiliation_string":"Robotic Mobility Group, Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Robotic Mobility Group, MIT, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111791983"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I68581759"],"apc_list":null,"apc_paid":null,"fwci":5.7341,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.95530237,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1183","last_page":"1189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9990000128746033,"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":0.9990000128746033,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"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/T10616","display_name":"Smart Agriculture and AI","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7408056259155273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6371729969978333},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6030498147010803},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5558128952980042},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5069553852081299},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4850551187992096},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.46521925926208496},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.43674731254577637},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.42496469616889954},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.41875240206718445},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.4153633415699005},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4134054481983185},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.40088358521461487},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3368756175041199}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7408056259155273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6371729969978333},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6030498147010803},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5558128952980042},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5069553852081299},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4850551187992096},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.46521925926208496},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.43674731254577637},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.42496469616889954},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.41875240206718445},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.4153633415699005},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4134054481983185},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.40088358521461487},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3368756175041199},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2010.5650300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2010.5650300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W49348824","https://openalex.org/W1561442812","https://openalex.org/W1968256263","https://openalex.org/W1994807229","https://openalex.org/W2059432853","https://openalex.org/W2097825766","https://openalex.org/W2099703313","https://openalex.org/W2101753071","https://openalex.org/W2105036859","https://openalex.org/W2122579756","https://openalex.org/W2123345555","https://openalex.org/W2136087021","https://openalex.org/W2139212933","https://openalex.org/W2153251605","https://openalex.org/W2153635508","https://openalex.org/W2167667767","https://openalex.org/W2505399031","https://openalex.org/W3120421331","https://openalex.org/W6602049457","https://openalex.org/W6674459913","https://openalex.org/W6674956544"],"related_works":["https://openalex.org/W2281433634","https://openalex.org/W2143648480","https://openalex.org/W1986633584","https://openalex.org/W2098239572","https://openalex.org/W1756896031","https://openalex.org/W2380231294","https://openalex.org/W2130903752","https://openalex.org/W1571236831","https://openalex.org/W3210156800","https://openalex.org/W2616146705"],"abstract_inverted_index":{"Road":[0],"detection":[1,37],"is":[2,59,95],"a":[3,35],"crucial":[4],"problem":[5],"in":[6,25,129],"the":[7,18,61,73,84,97,132,136],"application":[8],"of":[9,17,56,63,77,86,92],"autonomous":[10],"vehicle":[11],"and":[12,49,66,80,110],"on-road":[13],"mobile":[14],"robot.":[15],"Most":[16],"recent":[19],"methods":[20],"only":[21],"achieve":[22],"reliable":[23],"results":[24],"some":[26],"particular":[27],"well-arranged":[28],"environments.":[29],"In":[30],"this":[31,57,93],"paper,":[32],"we":[33],"describe":[34],"road":[36,44,101],"algorithm":[38,74,99,137],"for":[39],"front-view":[40],"monocular":[41],"camera":[42],"using":[43],"probabilistic":[45],"distribution":[46],"model":[47],"(RPDM)":[48],"online":[50,113,130],"learning":[51,79,82],"method.":[52],"The":[53,89],"primary":[54],"contribution":[55,91],"paper":[58,94],"that":[60,96],"combination":[62],"dynamical":[64],"RPDM":[65],"Fuzzy":[67],"Support":[68],"Vector":[69],"Machines":[70],"(FSVMs)":[71],"makes":[72,115,135],"being":[75],"capable":[76],"self-supervised":[78],"optimized":[81],"from":[83],"inheritance":[85],"previous":[87],"result.":[88],"secondary":[90],"proposed":[98],"uses":[100],"geometrical":[102],"assumption":[103,106],"to":[104,118,139],"extract":[105],"based":[107],"misclassified":[108,121],"points":[109,124],"retrains":[111],"itself":[112],"which":[114,134],"it":[116],"easier":[117],"find":[119],"potential":[120],"points.":[122],"Those":[123],"take":[125],"an":[126],"important":[127],"role":[128],"retraining":[131],"classifier":[133],"adaptive":[138],"environment":[140],"changing.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}