{"id":"https://openalex.org/W2765121588","doi":"https://doi.org/10.1109/ispa.2017.8073593","title":"Door detection in images of 3D scenes in an electronic travel aid for the blind","display_name":"Door detection in images of 3D scenes in an electronic travel aid for the blind","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2765121588","doi":"https://doi.org/10.1109/ispa.2017.8073593","mag":"2765121588"},"language":"en","primary_location":{"id":"doi:10.1109/ispa.2017.8073593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2017.8073593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis","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/A5026415519","display_name":"Piotr Skulimowski","orcid":"https://orcid.org/0000-0002-5168-5527"},"institutions":[{"id":"https://openalex.org/I188884621","display_name":"Lodz University of Technology","ror":"https://ror.org/00s8fpf52","country_code":"PL","type":"education","lineage":["https://openalex.org/I188884621"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Piotr Skulimowski","raw_affiliation_strings":["Institute of Electronics, Lodz University of Technology, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Lodz University of Technology, Poland","institution_ids":["https://openalex.org/I188884621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102971525","display_name":"Mateusz Owczarek","orcid":"https://orcid.org/0000-0003-2656-793X"},"institutions":[{"id":"https://openalex.org/I188884621","display_name":"Lodz University of Technology","ror":"https://ror.org/00s8fpf52","country_code":"PL","type":"education","lineage":["https://openalex.org/I188884621"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Mateusz Owczarek","raw_affiliation_strings":["Institute of Electronics, Lodz University of Technology, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Lodz University of Technology, Poland","institution_ids":["https://openalex.org/I188884621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051095136","display_name":"Pawe\u0142 Strumi\u0142\u0142o","orcid":"https://orcid.org/0000-0003-2757-9828"},"institutions":[{"id":"https://openalex.org/I188884621","display_name":"Lodz University of Technology","ror":"https://ror.org/00s8fpf52","country_code":"PL","type":"education","lineage":["https://openalex.org/I188884621"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Pawel Strumillo","raw_affiliation_strings":["Institute of Electronics, Lodz University of Technology, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Lodz University of Technology, Poland","institution_ids":["https://openalex.org/I188884621"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0924,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48272852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"14","issue":null,"first_page":"189","last_page":"194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9990000128746033,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9990000128746033,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7930131554603577},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7746864557266235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6686214804649353},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.6529309153556824},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.6512628197669983},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5462964177131653},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4970884621143341},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.48862963914871216},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.469551146030426},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4689091444015503},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.464807391166687},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.4148768484592438},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.41455763578414917},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.41117507219314575},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3262949287891388},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31318527460098267},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.231328547000885},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12860548496246338},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09326866269111633}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7930131554603577},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7746864557266235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6686214804649353},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.6529309153556824},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.6512628197669983},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5462964177131653},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4970884621143341},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.48862963914871216},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.469551146030426},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4689091444015503},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.464807391166687},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.4148768484592438},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.41455763578414917},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.41117507219314575},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3262949287891388},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31318527460098267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.231328547000885},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12860548496246338},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09326866269111633},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispa.2017.8073593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2017.8073593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W62356100","https://openalex.org/W1518046314","https://openalex.org/W1523030376","https://openalex.org/W1901384439","https://openalex.org/W1979174748","https://openalex.org/W1982585658","https://openalex.org/W1988790447","https://openalex.org/W2007168081","https://openalex.org/W2010561990","https://openalex.org/W2060252158","https://openalex.org/W2118877769","https://openalex.org/W2123436043","https://openalex.org/W2125539035","https://openalex.org/W2138888327","https://openalex.org/W2145023731","https://openalex.org/W2152057042","https://openalex.org/W2171886190","https://openalex.org/W2243958836","https://openalex.org/W2245749761","https://openalex.org/W2294636308","https://openalex.org/W2473344693","https://openalex.org/W6602589219","https://openalex.org/W6631446482","https://openalex.org/W6677548441","https://openalex.org/W6678976716"],"related_works":["https://openalex.org/W3169126738","https://openalex.org/W1994279415","https://openalex.org/W1999451535","https://openalex.org/W2558559991","https://openalex.org/W1986338341","https://openalex.org/W2133640447","https://openalex.org/W2545065926","https://openalex.org/W2980082320","https://openalex.org/W3134368758","https://openalex.org/W2355177902"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,80,113,134],"fast":[6],"method":[7,100],"for":[8,60,120,128,138,142],"detecting":[9,95],"doors":[10],"in":[11,34],"images":[12],"of":[13,24,38,69,136],"3D":[14],"scenes.":[15],"First,":[16],"the":[17,20,25,39,42,48,63,75,105,121,129],"equation":[18],"estimating":[19],"orientation":[21],"and":[22,52,140],"location":[23],"ground":[26,76],"surface":[27,77],"is":[28,32,45,132],"computed.":[29],"This":[30],"information":[31],"used":[33],"further":[35],"processing":[36],"steps":[37],"algorithm.":[40],"Then,":[41],"edge":[43,50],"image":[44],"calculated":[46],"(using":[47],"Canny":[49],"detector)":[51],"line":[53,71],"segments":[54,72],"justifying":[55],"predefined":[56],"conditions":[57],"are":[58,85],"searched":[59],"by":[61,94,112],"applying":[62],"Probabilistic":[64],"Hough":[65],"Transform":[66],"method.":[67],"Pairs":[68],"parallel":[70],"perpendicular":[73],"to":[74],"located":[78],"at":[79,133],"distance":[81],"range":[82],"80-110":[83],"cm":[84],"identified.":[86],"The":[87,98,123],"detection":[88,126],"performance":[89,127],"has":[90],"been":[91],"also":[92],"enhanced":[93],"door":[96,125],"handles.":[97],"proposed":[99],"was":[101],"successfully":[102],"verified":[103],"on":[104],"recorded":[106],"indoor":[107],"RGB-D":[108],"video":[109],"sequences":[110,131],"acquired":[111],"vision":[114],"based":[115],"Electronic":[116],"Travel":[117],"Aid":[118],"(ETA)":[119],"blind.":[122],"achieved":[124],"tested":[130],"level":[135],"63%":[137],"sensitivity":[139],"84%":[141],"positive":[143],"predictivity":[144],"values.":[145]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
