{"id":"https://openalex.org/W2799417740","doi":"https://doi.org/10.1186/s13640-018-0260-3","title":"Unpaved road detection based on spatial fuzzy clustering algorithm","display_name":"Unpaved road detection based on spatial fuzzy clustering algorithm","publication_year":2018,"publication_date":"2018-04-20","ids":{"openalex":"https://openalex.org/W2799417740","doi":"https://doi.org/10.1186/s13640-018-0260-3","mag":"2799417740"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-018-0260-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-018-0260-3","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0260-3","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0260-3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003710752","display_name":"Jining Bao","orcid":"https://orcid.org/0000-0003-0227-1608"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jining Bao","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038287028","display_name":"Yunzhou Zhang","orcid":"https://orcid.org/0000-0003-0610-3732"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunzhou Zhang","raw_affiliation_strings":["Faculty of Robot Science and Engineering, Northeastern University, Shenyang, 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Robot Science and Engineering, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109509243","display_name":"Xiaolin Su","orcid":"https://orcid.org/0009-0003-9045-7257"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Su","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041006174","display_name":"Rui Zheng","orcid":"https://orcid.org/0000-0003-0391-2454"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Zheng","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038287028"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":2.2499,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86099351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2018","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T13282","display_name":"Automated Road and Building Extraction","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9970999956130981,"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":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6991456747055054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6597777009010315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.653960645198822},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.633973240852356},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6136049628257751},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5548216700553894},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5365436673164368},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5318337082862854},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.47861093282699585},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4546738564968109},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36634886264801025},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2091880738735199}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6991456747055054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6597777009010315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.653960645198822},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.633973240852356},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6136049628257751},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5548216700553894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5365436673164368},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5318337082862854},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.47861093282699585},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4546738564968109},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36634886264801025},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2091880738735199},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13640-018-0260-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-018-0260-3","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0260-3","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bd8f7f4eb96749c396dc67e3fede8a4c","is_oa":true,"landing_page_url":"https://doaj.org/article/bd8f7f4eb96749c396dc67e3fede8a4c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-15 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13640-018-0260-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-018-0260-3","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0260-3","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2007767059","display_name":null,"funder_award_id":"61471110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6072728718","display_name":null,"funder_award_id":"L2014090","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2799417740.pdf","grobid_xml":"https://content.openalex.org/works/W2799417740.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1563820124","https://openalex.org/W1977947019","https://openalex.org/W1984126194","https://openalex.org/W1999404358","https://openalex.org/W2000461531","https://openalex.org/W2004025832","https://openalex.org/W2020955519","https://openalex.org/W2026520611","https://openalex.org/W2029009799","https://openalex.org/W2046670074","https://openalex.org/W2059515884","https://openalex.org/W2064189386","https://openalex.org/W2076426145","https://openalex.org/W2096262263","https://openalex.org/W2105332041","https://openalex.org/W2108897342","https://openalex.org/W2117823680","https://openalex.org/W2128326150","https://openalex.org/W2130420002","https://openalex.org/W2131350633","https://openalex.org/W2133059825","https://openalex.org/W2134160453","https://openalex.org/W2137189349","https://openalex.org/W2138361487","https://openalex.org/W2147598751","https://openalex.org/W2157738829","https://openalex.org/W2160328717","https://openalex.org/W2309023958","https://openalex.org/W2546013547","https://openalex.org/W2560645629","https://openalex.org/W2573558504","https://openalex.org/W2604436650","https://openalex.org/W2607751617","https://openalex.org/W2760998155","https://openalex.org/W2762383441","https://openalex.org/W4236060337","https://openalex.org/W6600277285","https://openalex.org/W6601010567","https://openalex.org/W6632602330"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W2107628111","https://openalex.org/W2394004323","https://openalex.org/W148178222","https://openalex.org/W2398764543","https://openalex.org/W2104657898","https://openalex.org/W2027335291","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W2804364458"],"abstract_inverted_index":{"Vision-based":[0],"unpaved":[1,29],"road":[2,30,71,103,132,177],"detection":[3,31,204],"is":[4,20,66,81,107,151],"a":[5,17,50,62,92,131],"challenging":[6],"task":[7],"due":[8],"to":[9,22,56,69,98,153,168],"the":[10,24,58,70,99,102,111,118,123,126,138,147,161,176,180,191],"complex":[11],"nature":[12],"scene.":[13],"In":[14],"this":[15,42],"paper,":[16],"novel":[18],"algorithm":[19,192],"proposed":[21,67],"improve":[23],"accuracy":[25,181,205],"and":[26,32,61,122,142,179,206],"robustness":[27],"of":[28,41,113,172,203],"boundary":[33],"extraction":[34],"with":[35,53,91,117],"low":[36],"computational":[37],"costs.":[38],"The":[39,186],"novelties":[40],"paper":[43],"are":[44],"as":[45],"follows:":[46],"(1)":[47],"We":[48],"use":[49],"normal":[51],"distribution":[52],"infrared":[54],"images":[55],"detect":[57],"vanishing":[59],"line,":[60],"trapezoid":[63],"prediction":[64],"model":[65,121,141,150],"according":[68],"shape":[72],"features.":[73],"(2)":[74],"Road":[75],"recognition":[76,100,134],"based":[77,136],"on":[78,137,160],"connected":[79],"regions":[80],"implemented":[82],"by":[83,158],"an":[84,173],"improved":[85],"support":[86],"vector":[87],"machine":[88],"(SVM)":[89],"classifier":[90],"normalized":[93],"class":[94],"feature":[95],"vector.":[96],"According":[97],"results,":[101],"probability":[104,124,133],"confidence":[105,127],"map":[106],"obtained.":[108],"(3)":[109],"With":[110],"help":[112],"fusing":[114],"continuous":[115],"information":[116],"trapezoidal":[119,139],"forecasting":[120,140],"from":[125],"map,":[128],"we":[129],"present":[130],"method":[135],"spatial":[143],"fuzzy":[144],"clustering.":[145],"Furthermore,":[146],"histogram":[148],"backprojection":[149],"used":[152],"solve":[154],"interference":[155],"problems":[156],"caused":[157],"shadows":[159],"road.":[162],"It":[163],"takes":[164],"approximately":[165],"0.012~0.014":[166],"s":[167],"process":[169],"one":[170],"frame":[171],"image":[174],"for":[175],"recognition,":[178],"rate":[182],"can":[183,193],"reach":[184],"93.2%.":[185],"experimental":[187],"results":[188],"show":[189],"that":[190],"achieve":[194],"better":[195],"performance":[196],"than":[197],"some":[198],"state-of-the-art":[199],"methods":[200],"in":[201],"terms":[202],"speed.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
