{"id":"https://openalex.org/W2739536504","doi":"https://doi.org/10.1109/ivs.2017.7995763","title":"Roadway feature mapping from point cloud data: A graph-based clustering approach","display_name":"Roadway feature mapping from point cloud data: A graph-based clustering approach","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2739536504","doi":"https://doi.org/10.1109/ivs.2017.7995763","mag":"2739536504"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2017.7995763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2017.7995763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://escholarship.org/content/qt5xj529hp/qt5xj529hp.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008198961","display_name":"Mohammad Billah","orcid":"https://orcid.org/0000-0002-4377-2065"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammad Billah","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, Riverside, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, Riverside, U.S.A","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081242386","display_name":"Arash Maskooki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arash Maskooki","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046773308","display_name":"Farzana Rahman","orcid":"https://orcid.org/0000-0002-5593-7242"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farzana Rahman","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, Riverside, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, Riverside, U.S.A","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084884757","display_name":"Jay A. Farrell","orcid":"https://orcid.org/0000-0002-2077-8691"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jay A. Farrell","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, University of California, Riverside, U.S.A"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, University of California, Riverside, U.S.A","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008198961"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":0.1539,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52477944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"475","last_page":"480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.995199978351593,"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/point-cloud","display_name":"Point cloud","score":0.8644924163818359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7827475070953369},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7169520854949951},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6237813830375671},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.620224118232727},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5336898565292358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49296069145202637},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4628962576389313},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4613478481769562},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45350268483161926},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4497815668582916},{"id":"https://openalex.org/keywords/digital-mapping","display_name":"Digital mapping","score":0.4176759719848633},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3663194179534912},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3509349524974823},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1714591383934021},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08603978157043457}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8644924163818359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7827475070953369},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7169520854949951},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6237813830375671},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.620224118232727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5336898565292358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49296069145202637},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4628962576389313},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4613478481769562},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45350268483161926},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4497815668582916},{"id":"https://openalex.org/C181672929","wikidata":"https://www.wikidata.org/wiki/Q4115141","display_name":"Digital mapping","level":2,"score":0.4176759719848633},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3663194179534912},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3509349524974823},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1714591383934021},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08603978157043457},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ivs.2017.7995763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2017.7995763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:qt5xj529hp","is_oa":true,"landing_page_url":"http://www.escholarship.org/uc/item/5xj529hp","pdf_url":"https://escholarship.org/content/qt5xj529hp/qt5xj529hp.pdf","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Billah, Mohammad; Farrell, Jay; Maskooki, Arash; &amp; Rahman, Farzana. (2017). Roadway Feature Mapping from Point Cloud Data: A Graph-Based Clustering Approach. IEEE Intelligent Vehicles Symposium. UC Riverside: Center for Environmental Research and Technology. Retrieved from: http://www.escholarship.org/uc/item/5xj529hp","raw_type":"article"},{"id":"pmh:oai:escholarship.org/ark:/13030/qt5xj529hp","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/5xj529hp","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"pmh:qt5xj529hp","is_oa":true,"landing_page_url":"http://www.escholarship.org/uc/item/5xj529hp","pdf_url":"https://escholarship.org/content/qt5xj529hp/qt5xj529hp.pdf","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Billah, Mohammad; Farrell, Jay; Maskooki, Arash; &amp; Rahman, Farzana. (2017). Roadway Feature Mapping from Point Cloud Data: A Graph-Based Clustering Approach. IEEE Intelligent Vehicles Symposium. UC Riverside: Center for Environmental Research and Technology. Retrieved from: http://www.escholarship.org/uc/item/5xj529hp","raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7300000190734863,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332550","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2739536504.pdf","grobid_xml":"https://content.openalex.org/works/W2739536504.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W573617743","https://openalex.org/W1564513266","https://openalex.org/W1976283188","https://openalex.org/W1999478155","https://openalex.org/W2027251975","https://openalex.org/W2035096367","https://openalex.org/W2057065983","https://openalex.org/W2058537106","https://openalex.org/W2077506631","https://openalex.org/W2085261163","https://openalex.org/W2088648144","https://openalex.org/W2133059825","https://openalex.org/W2341481962","https://openalex.org/W2741912366","https://openalex.org/W2773273687","https://openalex.org/W6680096826","https://openalex.org/W6704352750","https://openalex.org/W6742031046","https://openalex.org/W6746615148"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W4281783339","https://openalex.org/W1964041166","https://openalex.org/W4293094720","https://openalex.org/W2739701376"],"abstract_inverted_index":{"Connected":[0],"and":[1,24,59,86,169],"automated":[2],"vehicle":[3],"applications":[4],"are":[5],"facilitated":[6],"by":[7],"Enhanced":[8],"Digital":[9],"Maps":[10],"(EDMs)":[11],"of":[12,21,36,54,115,133,165],"the":[13,18,33,47,79,134,144,159,166,180],"roadway":[14,22,127,182],"environment.":[15],"Due":[16],"to":[17,51,118,153,162],"high":[19],"numbers":[20],"miles":[23],"signalized":[25],"intersections,":[26],"there":[27],"is":[28,136,151,177],"significant":[29],"research":[30],"interest":[31],"in":[32],"automatic":[34],"extraction":[35,58,85],"such":[37,94],"maps":[38],"from":[39,126,179],"georectified":[40],"LiDAR":[41,48,80],"data.":[42],"Most":[43],"existing":[44],"methods":[45,72],"convert":[46],"point":[49,81,102,145],"cloud":[50],"a":[52,99,108,111,137,173],"set":[53],"images":[55],"for":[56,83],"feature":[57,84],"mapping.":[60],"This":[61,90],"rasterization":[62],"step":[63],"loses":[64],"information":[65],"that":[66,75,96],"could":[67,82],"be":[68],"retained":[69],"if":[70],"new":[71,131],"were":[73],"developed":[74],"work":[76],"directly":[77,142],"on":[78,98,143],"mapping,":[87],"without":[88],"rasterization.":[89],"article":[91],"presents":[92],"one":[93],"approach":[95,135],"operates":[97],"road":[100,156],"surface":[101],"cloud,":[103],"processing":[104],"small":[105],"patches":[106],"at":[107],"time":[109],"using":[110],"locally":[112],"adaptive":[113],"version":[114],"Otsu's":[116],"method":[117,150],"discard":[119],"low":[120],"intensity":[121],"reflections":[122,125],"while":[123],"retaining":[124],"markings.":[128],"The":[129],"main":[130],"aspect":[132],"graph-based":[138],"clustering":[139],"algorithm":[140],"implemented":[141],"cloud.":[146],"A":[147],"cluster":[148],"growing":[149],"used":[152],"group":[154,161],"similar":[155],"markings":[157],"into":[158],"same":[160],"enable":[163],"detection":[164],"stop":[167],"bars":[168],"lane":[170],"edges.":[171],"Finally,":[172],"SAE-J2735":[174],"map":[175],"message":[176],"created":[178],"extracted":[181],"features.":[183]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
