{"id":"https://openalex.org/W4389879952","doi":"https://doi.org/10.1109/tgrs.2023.3344103","title":"PolyRoad: Polyline Transformer for Topological Road-Boundary Detection","display_name":"PolyRoad: Polyline Transformer for Topological Road-Boundary Detection","publication_year":2023,"publication_date":"2023-12-18","ids":{"openalex":"https://openalex.org/W4389879952","doi":"https://doi.org/10.1109/tgrs.2023.3344103"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3344103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3344103","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5006947125","display_name":"Yuan Hu","orcid":"https://orcid.org/0000-0003-1256-7023"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Hu","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information Systems, School of Earth and Space Sciences, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information Systems, School of Earth and Space Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073622954","display_name":"Zhibin Wang","orcid":"https://orcid.org/0000-0001-7618-7973"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Wang","raw_affiliation_strings":["DAMO Academy, Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010022619","display_name":"Zhou Huang","orcid":"https://orcid.org/0000-0002-1255-1913"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Huang","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information Systems, School of Earth and Space Sciences, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information Systems, School of Earth and Space Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100345691","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-0016-2902"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information Systems, School of Earth and Space Sciences, Peking University, Beijing, China","Peking University Ordos Research Institute of Energy, Ordos, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information Systems, School of Earth and Space Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University Ordos Research Institute of Energy, Ordos, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006947125"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.2335,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77137227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12682","display_name":"Smart Materials for Construction","score":0.9395999908447266,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4500945210456848},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4413456618785858},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4286192059516907},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3494299650192261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3321595788002014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16171452403068542},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11894434690475464},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0776490569114685}],"concepts":[{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4500945210456848},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4413456618785858},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4286192059516907},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3494299650192261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3321595788002014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16171452403068542},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11894434690475464},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0776490569114685}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3344103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3344103","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6700000166893005,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2753709519","https://openalex.org/W2780861787","https://openalex.org/W2798925380","https://openalex.org/W2811199523","https://openalex.org/W2901633833","https://openalex.org/W2915007085","https://openalex.org/W2918989099","https://openalex.org/W2956134899","https://openalex.org/W2962766617","https://openalex.org/W2963351448","https://openalex.org/W2969786836","https://openalex.org/W2975194617","https://openalex.org/W2984281342","https://openalex.org/W2988499426","https://openalex.org/W3008689687","https://openalex.org/W3035012694","https://openalex.org/W3088517784","https://openalex.org/W3089040116","https://openalex.org/W3096609285","https://openalex.org/W3110395491","https://openalex.org/W3126772615","https://openalex.org/W3138516171","https://openalex.org/W3141797743","https://openalex.org/W3179351458","https://openalex.org/W3186564193","https://openalex.org/W3187359482","https://openalex.org/W4225742096","https://openalex.org/W4239943352","https://openalex.org/W4362449408","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6784094891","https://openalex.org/W6797399245","https://openalex.org/W6798837711","https://openalex.org/W6838633692","https://openalex.org/W6843220696","https://openalex.org/W6843456391"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2324615561","https://openalex.org/W2086120259","https://openalex.org/W2390279801","https://openalex.org/W2245170124","https://openalex.org/W2076393078","https://openalex.org/W2358668433","https://openalex.org/W3106323631","https://openalex.org/W3151822016"],"abstract_inverted_index":{"Topological":[0],"road-boundary":[1,28,75,186],"detection":[2],"using":[3],"remote":[4],"sensing":[5],"imagery":[6],"plays":[7],"a":[8,44,65,69,122],"critical":[9],"role":[10],"in":[11,47,94,253],"creating":[12],"high-definition":[13],"(HD)":[14],"maps":[15],"and":[16,38,67,86,101,117,135,160,241,256,271,285],"enabling":[17],"autonomous":[18],"driving.":[19],"Previous":[20],"approaches":[21],"follow":[22],"an":[23],"iterative":[24],"graph-growing":[25],"paradigm":[26],"for":[27,73,145],"extraction,":[29],"where":[30],"road":[31,59,92],"boundaries":[32,60,93],"are":[33,234],"predicted":[34,118,202,221],"vertex":[35,37],"by":[36,40,204,223],"instance":[39,41],"to":[42,126,176,195],"output":[43],"graph,":[45],"resulting":[46],"limitations":[48],"of":[49,64,89,133,181,184,200,209,219],"low":[50],"inference":[51,102,281],"speed.":[52],"In":[53,138],"this":[54],"work,":[55],"we":[56,120,140],"formulate":[57],"the":[58,83,99,106,114,128,131,149,173,178,185,192,197,201,206,216,220,225,237],"as":[61],"polylines":[62,203,222,227],"instead":[63],"graph":[66],"propose":[68,141],"novel":[70],"polyline":[71,123,147],"transformer":[72,84],"topological":[74],"detection,":[76],"termed":[77],"PolyRoad.":[78],"PolyRoad":[79,246,261],"is":[80,87],"built":[81],"on":[82,236],"architecture":[85],"capable":[88],"detecting":[90],"all":[91],"parallel,":[95],"which":[96],"greatly":[97],"improves":[98],"training":[100],"speed":[103],"compared":[104],"with":[105],"graph-based":[107],"methods.":[108],"To":[109],"perform":[110],"bipartite":[111],"matching":[112,124],"between":[113],"ground":[115],"truth":[116],"polylines,":[119],"develop":[121],"cost":[125],"measure":[127],"distance,":[129],"considering":[130],"order":[132],"open":[134],"closed":[136],"polylines.":[137,187],"addition,":[139],"three":[142],"different":[143],"losses":[144],"supervising":[146,205],"learning:":[148],"order-oriented":[150,164],"<inline-formula":[151,165,263,272],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[152,166,264,273],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[153,167,265,274],"<tex-math":[154,168,266,275],"notation=\"LaTeX\">$L1$":[155,169],"</tex-math></inline-formula>":[156,170,270,279],"loss,":[157,159],"direction":[158,189],"mask":[161,213],"loss.":[162],"The":[163,188,212],"loss":[171,190,214],"provides":[172,191,215],"point-level":[174],"supervision":[175,194,218],"constrain":[177,196],"absolute":[179],"position":[180,208],"each":[182],"point":[183],"direction-level":[193],"geometry":[198],"shape":[199],"relative":[207],"adjacent":[210],"points.":[211],"pixel-level":[217,255],"converting":[224],"vector-format":[226],"into":[228],"raster-format":[229],"binary":[230],"masks.":[231],"Comprehensive":[232],"experiments":[233],"conducted":[235],"Topo-boundary":[238],"dataset.":[239],"Quantitative":[240],"qualitative":[242],"results":[243],"show":[244],"that":[245],"achieves":[247,262],"superior":[248],"performance":[249],"than":[250,283],"prior":[251],"methods":[252],"both":[254],"geometry-level":[257],"metrics.":[258],"More":[259],"notably,":[260],"notation=\"LaTeX\">$3.37":[267],"\\times":[268,277],"$":[269,278],"notation=\"LaTeX\">$22.85":[276],"faster":[280],"speeds":[282],"Enhanced-iCurb":[284],"VecRoad,":[286],"respectively.":[287]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}