{"id":"https://openalex.org/W2413206197","doi":"https://doi.org/10.1109/icra.2016.7487800","title":"Towards visual mapping in industrial environments - a heterogeneous task-specific and saliency driven approach","display_name":"Towards visual mapping in industrial environments - a heterogeneous task-specific and saliency driven approach","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2413206197","doi":"https://doi.org/10.1109/icra.2016.7487800","mag":"2413206197"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2016.7487800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2016.7487800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-51234","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070926916","display_name":"Rafid Siddiqui","orcid":"https://orcid.org/0000-0003-4692-5415"},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"J. Rafid Siddiqui","raw_affiliation_strings":["\u00d6rebro University, Sweden"],"affiliations":[{"raw_affiliation_string":"\u00d6rebro University, Sweden","institution_ids":["https://openalex.org/I26437253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024851825","display_name":"Henrik Andreasson","orcid":"https://orcid.org/0000-0002-2953-1564"},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Henrik Andreasson","raw_affiliation_strings":["\u00d6rebro University, Sweden"],"affiliations":[{"raw_affiliation_string":"\u00d6rebro University, Sweden","institution_ids":["https://openalex.org/I26437253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009212622","display_name":"Dimiter Driankov","orcid":null},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Dimiter Driankov","raw_affiliation_strings":["\u00d6rebro University, Sweden"],"affiliations":[{"raw_affiliation_string":"\u00d6rebro University, Sweden","institution_ids":["https://openalex.org/I26437253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088586617","display_name":"Achim J. Lilienthal","orcid":"https://orcid.org/0000-0003-0217-9326"},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Achim J. Lilienthal","raw_affiliation_strings":["\u00d6rebro University, Sweden"],"affiliations":[{"raw_affiliation_string":"\u00d6rebro University, Sweden","institution_ids":["https://openalex.org/I26437253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070926916"],"corresponding_institution_ids":["https://openalex.org/I26437253"],"apc_list":null,"apc_paid":null,"fwci":0.668,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76415997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"24","issue":null,"first_page":"5766","last_page":"5773"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994000196456909,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994000196456909,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9891999959945679,"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"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.7831056118011475},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.618293285369873},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6080193519592285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5677089095115662},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5627411603927612},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5546813011169434},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.54278165102005},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4889277517795563},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4315853714942932},{"id":"https://openalex.org/keywords/industrial-robot","display_name":"Industrial robot","score":0.4287180006504059},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.42322802543640137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2651001513004303},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1048700213432312},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.0887957513332367}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7831056118011475},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.618293285369873},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6080193519592285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5677089095115662},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5627411603927612},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5546813011169434},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.54278165102005},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4889277517795563},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4315853714942932},{"id":"https://openalex.org/C2776126113","wikidata":"https://www.wikidata.org/wiki/Q1128980","display_name":"Industrial robot","level":3,"score":0.4287180006504059},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.42322802543640137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2651001513004303},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1048700213432312},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0887957513332367},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icra.2016.7487800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2016.7487800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:oru-51234","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-51234","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:oru-51234","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-51234","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1799366690","https://openalex.org/W1813599753","https://openalex.org/W2000321478","https://openalex.org/W2017814585","https://openalex.org/W2037954058","https://openalex.org/W2038034534","https://openalex.org/W2067191022","https://openalex.org/W2071988647","https://openalex.org/W2084317025","https://openalex.org/W2084911271","https://openalex.org/W2086791339","https://openalex.org/W2093190734","https://openalex.org/W2100470808","https://openalex.org/W2108712229","https://openalex.org/W2117539524","https://openalex.org/W2133844819","https://openalex.org/W2141125852","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W3097096317","https://openalex.org/W3214102110","https://openalex.org/W4299586661","https://openalex.org/W6638638512","https://openalex.org/W6680715401"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2070401501","https://openalex.org/W4244907930","https://openalex.org/W2171912896"],"abstract_inverted_index":{"The":[0,84,93,114],"highly":[1],"percipient":[2],"nature":[3],"of":[4,50,68,111],"human":[5,17],"mind":[6],"in":[7,138],"avoiding":[8],"sensory":[9],"overload":[10],"is":[11,65,87,116],"a":[12,47,56,70,90,97,107,122,127],"crucial":[13],"factor":[14],"which":[15,45,73,100],"gives":[16],"vision":[18],"an":[19,66,75,102],"advantage":[20],"over":[21],"machine":[22],"vision,":[23],"the":[24,39,51,112],"latter":[25],"has":[26],"otherwise":[27],"powerful":[28],"computational":[29],"resources":[30],"at":[31],"its":[32],"disposal":[33],"given":[34],"today's":[35],"technology.":[36],"This":[37,63],"stresses":[38],"need":[40],"to":[41,54,105],"focus":[42],"on":[43,89,118,126],"methods":[44],"extract":[46],"concise":[48,108],"representation":[49,110],"environment":[52],"inorder":[53],"approach":[55],"complex":[57],"problem":[58],"such":[59],"as":[60],"visual":[61,109,135],"mapping.":[62],"article":[64],"attempt":[67],"creating":[69],"mapping":[71,136],"system,":[72],"proposes":[74],"architecture":[76],"that":[77],"combines":[78],"task-specific":[79],"and":[80,130],"saliency":[81],"driven":[82],"approaches.":[83],"proposed":[85,94],"method":[86,115],"implemented":[88],"warehouse":[91],"robot.":[92],"solution":[95],"provide":[96],"priority":[98],"framework":[99],"enables":[101],"industrial":[103,139],"robot":[104,129],"build":[106],"environment.":[113],"evaluated":[117],"data":[119],"collected":[120],"by":[121],"RGBD":[123],"sensor":[124],"mounted":[125],"fork-lift":[128],"shows":[131],"promise":[132],"for":[133],"addressing":[134],"problems":[137],"environments.":[140]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
