{"id":"https://openalex.org/W1968741116","doi":"https://doi.org/10.1109/itsc.2014.6957929","title":"A robust road segmentation method based on graph cut with learnable neighboring link weights","display_name":"A robust road segmentation method based on graph cut with learnable neighboring link weights","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1968741116","doi":"https://doi.org/10.1109/itsc.2014.6957929","mag":"1968741116"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2014.6957929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6957929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International IEEE Conference on Intelligent Transportation Systems (ITSC)","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/A5101527797","display_name":"Jun Yuan","orcid":"https://orcid.org/0000-0002-0667-3981"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Yuan","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190 China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190 China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111894883","display_name":"Shuming Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210135175","display_name":"Hefei Institute of Technology Innovation","ror":"https://ror.org/044wmmj34","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210135175"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuming Tang","raw_affiliation_strings":["High-Tech Innovation Engineering Center, Chinese Academy of Sciences, Beijing, China","High-Tech Innovation Engineering Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China"],"affiliations":[{"raw_affiliation_string":"High-Tech Innovation Engineering Center, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210135175"]},{"raw_affiliation_string":"High-Tech Innovation Engineering Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455958","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0003-3462-8472"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics of Xi'an Jiaotong University, Xi'an, China","Institute of Artificial Intelligence and Robotics of Xi'an Jiaotong University, 710049, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics of Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics of Xi'an Jiaotong University, 710049, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100430358","display_name":"Hong Zhang","orcid":"https://orcid.org/0000-0003-3176-3994"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["School of Information Engineering, Minzu University of China, Beijing, China","School of Information Engineering; MinZu University of China; Beijing 100081 China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]},{"raw_affiliation_string":"School of Information Engineering; MinZu University of China; Beijing 100081 China","institution_ids":["https://openalex.org/I145897649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101527797"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":1.40083507,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82157299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1644","last_page":"1649"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9994999766349792,"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":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6263025403022766},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5964574813842773},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.565022885799408},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5439205169677734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5409864187240601},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.5107734203338623},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4707867503166199},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.4676092863082886},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4250686466693878},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40673404932022095},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4012228548526764},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3654467463493347},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.23820462822914124},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2239026129245758},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12056201696395874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6263025403022766},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5964574813842773},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.565022885799408},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5439205169677734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5409864187240601},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.5107734203338623},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4707867503166199},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.4676092863082886},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4250686466693878},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40673404932022095},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4012228548526764},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3654467463493347},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.23820462822914124},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2239026129245758},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12056201696395874},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2014.6957929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6957929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International IEEE Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6800000071525574,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2024046085","https://openalex.org/W2026520611","https://openalex.org/W2067439266","https://openalex.org/W2086259000","https://openalex.org/W2096262263","https://openalex.org/W2106364138","https://openalex.org/W2109815793","https://openalex.org/W2113137767","https://openalex.org/W2117009177","https://openalex.org/W2117721169","https://openalex.org/W2124351162","https://openalex.org/W2126177236","https://openalex.org/W2136444677","https://openalex.org/W2140492705","https://openalex.org/W2143908786","https://openalex.org/W2168519618","https://openalex.org/W6656565719","https://openalex.org/W6676233112"],"related_works":["https://openalex.org/W3039673966","https://openalex.org/W1518185400","https://openalex.org/W2109407305","https://openalex.org/W2032319136","https://openalex.org/W2088651901","https://openalex.org/W2897997384","https://openalex.org/W1544828638","https://openalex.org/W2086619084","https://openalex.org/W2000036183","https://openalex.org/W2049858394"],"abstract_inverted_index":{"Road":[0],"region":[1],"detection":[2],"is":[3,36,46,105],"a":[4,27,31,54],"crucial":[5],"functionality":[6],"for":[7],"road":[8,24,87,98],"following":[9],"in":[10,23,38,53,71,118],"advanced":[11],"driver":[12],"assistance":[13],"systems":[14],"(ADAS).":[15],"To":[16],"address":[17],"the":[18,67,82,92,101,108,113,119,127,132],"problem":[19],"of":[20,43,49,84,97,131],"environment":[21],"interference":[22],"segmentation":[25,88],"through":[26],"monocular":[28],"vision":[29],"approach,":[30],"novel":[32],"graph-cut":[33,73,85,109],"based":[34,74,86],"method":[35],"proposed":[37,133],"this":[39,44],"paper.":[40],"The":[41],"novelty":[42],"proposal":[45],"that":[47],"weights":[48,78,117],"neighboring":[50,68],"links":[51],"(n-links)":[52],"s-t":[55,120],"graph":[56],"are":[57,123],"estimated":[58],"by":[59,66,79],"Multilayer":[60],"Perceptrons":[61],"(MLPs)":[62],"rather":[63],"than":[64],"calculating":[65],"contrast":[69],"simply":[70],"previous":[72],"methods.":[75],"Estimating":[76],"n-link":[77],"MLPs":[80],"reinforces":[81],"ability":[83],"algorithms":[89],"to":[90,111,125],"tolerate":[91],"complex":[93],"and":[94,129],"changeable":[95],"appearance":[96],"surfaces.":[99],"Additionally,":[100],"Gentle":[102],"AdaBoost":[103],"algorithm":[104],"integrated":[106],"into":[107],"framework":[110],"estimate":[112],"terminal":[114],"link":[115],"(t-link)":[116],"graph.":[121],"Experiments":[122],"conducted":[124],"show":[126],"robustness":[128],"efficiency":[130],"method.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
