{"id":"https://openalex.org/W1981799318","doi":"https://doi.org/10.1109/ivs.2010.5548074","title":"On visual crosswalk detection for driver assistance systems","display_name":"On visual crosswalk detection for driver assistance systems","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W1981799318","doi":"https://doi.org/10.1109/ivs.2010.5548074","mag":"1981799318"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2010.5548074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2010.5548074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Intelligent Vehicles Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5008062078","display_name":"Anselm Haselhoff","orcid":"https://orcid.org/0009-0007-9489-6395"},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anselm Haselhoff","raw_affiliation_strings":["Faculty of Electrical Engineering, University of Wuppertal, Wuppertal, Germany","Faculty of Electrical Engineering, University of Wuppertal, 42097, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, University of Wuppertal, Wuppertal, Germany","institution_ids":["https://openalex.org/I167360494"]},{"raw_affiliation_string":"Faculty of Electrical Engineering, University of Wuppertal, 42097, Germany","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080666933","display_name":"Anton Kummert","orcid":"https://orcid.org/0000-0002-0282-5087"},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anton Kummert","raw_affiliation_strings":["Faculty of Electrical Engineering, University of Wuppertal, Wuppertal, Germany","Faculty of Electrical Engineering, University of Wuppertal, 42097, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, University of Wuppertal, Wuppertal, Germany","institution_ids":["https://openalex.org/I167360494"]},{"raw_affiliation_string":"Faculty of Electrical Engineering, University of Wuppertal, 42097, Germany","institution_ids":["https://openalex.org/I167360494"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I167360494"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"883","last_page":"888"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9986000061035156,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/schema-crosswalk","display_name":"Schema crosswalk","score":0.9365185499191284},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7274077534675598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6897094249725342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6250635385513306},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5763564109802246},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5192592144012451},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4514816701412201},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.434770405292511},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.188802570104599},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.11344078183174133},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.08510306477546692}],"concepts":[{"id":"https://openalex.org/C121193887","wikidata":"https://www.wikidata.org/wiki/Q7431117","display_name":"Schema crosswalk","level":3,"score":0.9365185499191284},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7274077534675598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6897094249725342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6250635385513306},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5763564109802246},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5192592144012451},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4514816701412201},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.434770405292511},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.188802570104599},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.11344078183174133},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.08510306477546692},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2010.5548074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2010.5548074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Intelligent Vehicles Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5799999833106995,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W121961354","https://openalex.org/W204807492","https://openalex.org/W1490760466","https://openalex.org/W1920166271","https://openalex.org/W1994275275","https://openalex.org/W2004705050","https://openalex.org/W2106129972","https://openalex.org/W2145938889","https://openalex.org/W2152930517","https://openalex.org/W2153779563","https://openalex.org/W2159498975","https://openalex.org/W2164598857","https://openalex.org/W2975461012","https://openalex.org/W2998216295","https://openalex.org/W4229632472","https://openalex.org/W4244494905","https://openalex.org/W4285719527","https://openalex.org/W6608327798","https://openalex.org/W6683344514","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W3048841968","https://openalex.org/W4292121402","https://openalex.org/W2357606590","https://openalex.org/W1964467305","https://openalex.org/W2809634635","https://openalex.org/W2303498155","https://openalex.org/W3013578941","https://openalex.org/W2588274242","https://openalex.org/W2004705050","https://openalex.org/W2168382779"],"abstract_inverted_index":{"In":[0],"this":[1,41],"paper":[2,42],"a":[3,22,33,113,119,134],"new":[4],"crosswalk":[5,105],"detection":[6,24,128],"strategy":[7],"is":[8,13,43,66,80,130],"presented.":[9],"The":[10,37,89,126],"application":[11],"area":[12],"narrowed":[14],"down":[15],"to":[16,20,27,47,83,95,112],"driver":[17],"assistance":[18],"systems":[19],"guarantee":[21],"reliable":[23],"result":[25,129],"and":[26,59],"benefit":[28],"from":[29,86],"the":[30,75,78,84,87],"properties":[31],"of":[32,40,70,77,97,101,104,121],"vehicle":[34],"mounted":[35],"camera.":[36],"main":[38],"contribution":[39],"an":[44,62,71],"efficient":[45],"method":[46],"detect":[48],"line":[49],"segments":[50,91],"that":[51,117],"are":[52,92,109],"typical":[53],"for":[54,124],"road":[55],"markings":[56],"like":[57],"lanes":[58],"crosswalks.":[60],"Therefore":[61],"adaptive":[63],"Haar-like":[64],"filter":[65,79],"applied":[67],"by":[68,99,133],"means":[69,100],"integral":[72],"image,":[73],"where":[74],"pass-band":[76],"adjusted":[81],"according":[82],"distance":[85],"vehicle.":[88],"detected":[90],"then":[93,110,131],"combined":[94],"regions":[96,108],"interest":[98],"prior":[102],"knowledge":[103],"dimensions.":[106],"These":[107],"passed":[111],"simple":[114],"classifying":[115],"module":[116],"utilizes":[118],"set":[120],"moment":[122],"invariants":[123],"classification.":[125],"final":[127],"tracked":[132],"standard":[135],"Kalman":[136],"filter.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}