{"id":"https://openalex.org/W4294974843","doi":"https://doi.org/10.1109/embc48229.2022.9871787","title":"Obstacle Segmentation with Encoder-Decoder Architectures in Low Structured Environments for the Navigation of Visually Impaired People","display_name":"Obstacle Segmentation with Encoder-Decoder Architectures in Low Structured Environments for the Navigation of Visually Impaired People","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4294974843","doi":"https://doi.org/10.1109/embc48229.2022.9871787","pmid":"https://pubmed.ncbi.nlm.nih.gov/36085946"},"language":"en","primary_location":{"id":"doi:10.1109/embc48229.2022.9871787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871787","pdf_url":null,"source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5030353793","display_name":"Julian Se\u00dfner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157642","display_name":"Institute of Automation","ror":"https://ror.org/056qj1t15","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210157642","https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Julian Sessner","raw_affiliation_strings":["Institute for Factory Automation and Production Systems (FAPS) from Fricdrich-Alexandcr-Universtitat Erlangen-Nurnberg,Germany","Institute for Factory Automation and Production Systems (FAPS) from Fricdrich-Alexandcr-Universtitat Erlangen-Nurnberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Factory Automation and Production Systems (FAPS) from Fricdrich-Alexandcr-Universtitat Erlangen-Nurnberg,Germany","institution_ids":["https://openalex.org/I4210157642"]},{"raw_affiliation_string":"Institute for Factory Automation and Production Systems (FAPS) from Fricdrich-Alexandcr-Universtitat Erlangen-Nurnberg, Germany","institution_ids":["https://openalex.org/I4210157642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048198080","display_name":"Fabian Schade","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157642","display_name":"Institute of Automation","ror":"https://ror.org/056qj1t15","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210157642","https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabian Schade","raw_affiliation_strings":["Institute for Factory Automation and Production Systems (FAPS) from Fricdrich-Alexandcr-Universtitat Erlangen-Nurnberg,Germany","Institute for Factory Automation and Production Systems (FAPS) from Fricdrich-Alexandcr-Universtitat Erlangen-Nurnberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Factory Automation and Production Systems (FAPS) from Fricdrich-Alexandcr-Universtitat Erlangen-Nurnberg,Germany","institution_ids":["https://openalex.org/I4210157642"]},{"raw_affiliation_string":"Institute for Factory Automation and Production Systems (FAPS) from Fricdrich-Alexandcr-Universtitat Erlangen-Nurnberg, Germany","institution_ids":["https://openalex.org/I4210157642"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059197069","display_name":"J\u00f6rg Franke","orcid":"https://orcid.org/0000-0003-0700-2028"},"institutions":[{"id":"https://openalex.org/I4210157642","display_name":"Institute of Automation","ror":"https://ror.org/056qj1t15","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210157642","https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jorg Franke","raw_affiliation_strings":["Institute for Factory Automation and Production Systems (FAPS) from Fricdrich-Alexandcr-Universtitat Erlangen-Nurnberg,Germany","Institute for Factory Automation and Production Systems (FAPS) from Fricdrich-Alexandcr-Universtitat Erlangen-Nurnberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Factory Automation and Production Systems (FAPS) from Fricdrich-Alexandcr-Universtitat Erlangen-Nurnberg,Germany","institution_ids":["https://openalex.org/I4210157642"]},{"raw_affiliation_string":"Institute for Factory Automation and Production Systems (FAPS) from Fricdrich-Alexandcr-Universtitat Erlangen-Nurnberg, Germany","institution_ids":["https://openalex.org/I4210157642"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030353793"],"corresponding_institution_ids":["https://openalex.org/I4210157642"],"apc_list":null,"apc_paid":null,"fwci":0.3989,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46596859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"2022","issue":null,"first_page":"4269","last_page":"4273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.8188287019729614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6935576796531677},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6618174314498901},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6286124587059021},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6036564707756042},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5911074876785278},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5414921641349792},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5162346363067627}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8188287019729614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6935576796531677},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6618174314498901},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6286124587059021},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6036564707756042},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5911074876785278},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5414921641349792},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5162346363067627},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011788","descriptor_name":"Quality of Life","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011788","descriptor_name":"Quality of Life","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011788","descriptor_name":"Quality of Life","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019987","descriptor_name":"Visually Impaired Persons","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019987","descriptor_name":"Persons with Visual Disabilities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019987","descriptor_name":"Persons with Visual Disabilities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc48229.2022.9871787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871787","pdf_url":null,"source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:36085946","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36085946","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1924453835","https://openalex.org/W2131564441","https://openalex.org/W2170772499","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2587989515","https://openalex.org/W2749554940","https://openalex.org/W2752782242","https://openalex.org/W2800931606","https://openalex.org/W2804860796","https://openalex.org/W2919115771","https://openalex.org/W2920929355","https://openalex.org/W2939362969","https://openalex.org/W2942840392","https://openalex.org/W2964842853","https://openalex.org/W2987943010","https://openalex.org/W2990591727","https://openalex.org/W2995958891","https://openalex.org/W3094066356","https://openalex.org/W3110054227","https://openalex.org/W4297775537","https://openalex.org/W6639824700","https://openalex.org/W6733387591"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W2611989081","https://openalex.org/W3155418658","https://openalex.org/W4243199227"],"abstract_inverted_index":{"Orientation":[0],"and":[1,27,54,78,81,102,163],"mobility":[2,12],"of":[3,43,76,128,135,141,148,154,160,176,190],"visually":[4,177],"impaired":[5,33,178],"people":[6],"usually":[7],"requires":[8],"intensive":[9],"training":[10,63],"with":[11,98],"aids":[13],"(e.g.":[14],"white":[15],"canes).":[16],"Assistance":[17],"systems":[18],"capture":[19],"information":[20],"from":[21],"the":[22,29,32,66,82,126,129,133,139,152,157,161,174],"environment,":[23],"process":[24],"sensor":[25],"data":[26,64],"provide":[28],"results":[30,116],"to":[31,100,131,187],"user.":[34],"The":[35,114,171],"paper":[36],"presents":[37],"an":[38,58,73,121,145],"approach":[39,130,172],"for":[40,61],"efficient":[41,59,146],"segmentation":[42],"obstacles":[44],"in":[45],"low-structured":[46],"outdoor":[47],"environments":[48],"using":[49,65],"encoder-decoder":[50,89],"deep":[51,164],"learning":[52,165],"architectures":[53,90,110],"depth":[55,79],"images.":[56],"Therefore,":[57],"method":[60,68],"generating":[62],"v-disparity":[67],"is":[69],"presented.":[70],"Based":[71],"on":[72,93],"extensive":[74],"dataset":[75],"RGB":[77],"images":[80],"corresponding":[83],"binary":[84],"label":[85],"images,":[86],"different":[87],"state-of-the-art":[88],"are":[91,111],"evaluated":[92],"a":[94,182],"mobile":[95],"computing":[96],"unit":[97],"respect":[99],"accuracy":[101],"efficiency.":[103],"Besides":[104],"pure":[105],"depth-based":[106],"architectures,":[107],"RGB-D":[108],"fused":[109],"evaluated,":[112],"too.":[113],"quantitative":[115],"show":[117],"some":[118],"limitations,":[119],"but":[120],"additional":[122],"qualitative":[123],"evaluation":[124],"proves":[125],"applicability":[127],"support":[132],"navigation":[134,175],"VIP":[136],"by":[137],"mapping":[138],"position":[140],"surrounding":[142],"obstacles.":[143],"Thus,":[144],"combination":[147],"classical":[149],"image":[150],"processing,":[151],"integration":[153],"knowledge":[155],"about":[156],"physical":[158],"nature":[159],"environment":[162],"can":[166],"be":[167],"made.":[168],"Clinical":[169],"Relevance-":[170],"supports":[173],"people,":[179],"which":[180],"enables":[181],"more":[183],"self-sufficient":[184],"life":[185],"related":[186],"higher":[188],"quality":[189],"life.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-05T09:01:59.212387","created_date":"2025-10-10T00:00:00"}
