{"id":"https://openalex.org/W2971453269","doi":"https://doi.org/10.1109/codit.2019.8820616","title":"Accuracy Improvement of Semantic Segmentation Using Appropriate Datasets for Robot Navigation","display_name":"Accuracy Improvement of Semantic Segmentation Using Appropriate Datasets for Robot Navigation","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2971453269","doi":"https://doi.org/10.1109/codit.2019.8820616","mag":"2971453269"},"language":"en","primary_location":{"id":"doi:10.1109/codit.2019.8820616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit.2019.8820616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5035420223","display_name":"Ryusuke Miyamoto","orcid":"https://orcid.org/0000-0001-9450-4493"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ryusuke Miyamoto","raw_affiliation_strings":["Department of Computer Science, School of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Science and Technology","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012782866","display_name":"Miho Adachi","orcid":"https://orcid.org/0009-0000-3802-4866"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miho Adachi","raw_affiliation_strings":["Department of Computer Science, School of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Science and Technology","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075468052","display_name":"Yuta Nakamura","orcid":"https://orcid.org/0000-0001-6962-6704"},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Nakamura","raw_affiliation_strings":["Department of Computer Science, Meiji University, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Meiji University, Kawasaki, Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102112729","display_name":"Takeshi Nakajima","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Nakajima","raw_affiliation_strings":["Department of Computer Science, Meiji University, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Meiji University, Kawasaki, Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101131836","display_name":"Hiroki Ishida","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hiroki Ishida","raw_affiliation_strings":["Department of Computer Science, School of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Science and Technology","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101060613","display_name":"Shingo Kobayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shingo Kobayashi","raw_affiliation_strings":["Department of Computer Science, Meiji University, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Meiji University, Kawasaki, Japan","institution_ids":["https://openalex.org/I16656306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5035420223"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1134,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.82239154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1610","last_page":"1615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9979000091552734,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9954000115394592,"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":0.7990161180496216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7846442461013794},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.777690052986145},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6997087001800537},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6954640746116638},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6535133123397827},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.519199013710022},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.512829601764679},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.4908667206764221},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.45251938700675964},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42925554513931274},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.13567903637886047},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10237923264503479},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09841945767402649}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7990161180496216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7846442461013794},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.777690052986145},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6997087001800537},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6954640746116638},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6535133123397827},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.519199013710022},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.512829601764679},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.4908667206764221},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.45251938700675964},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42925554513931274},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.13567903637886047},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10237923264503479},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09841945767402649},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit.2019.8820616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit.2019.8820616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2031489346","https://openalex.org/W2074777933","https://openalex.org/W2163605009","https://openalex.org/W2193145675","https://openalex.org/W2340897893","https://openalex.org/W2395611524","https://openalex.org/W2497039038","https://openalex.org/W2560023338","https://openalex.org/W2570343428","https://openalex.org/W2594507094","https://openalex.org/W2618530766","https://openalex.org/W2737258237","https://openalex.org/W2964217532","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W1904098742","https://openalex.org/W3158921809","https://openalex.org/W2161428574","https://openalex.org/W2077416514","https://openalex.org/W2618632915","https://openalex.org/W4292862729","https://openalex.org/W2150982344","https://openalex.org/W2157678966"],"abstract_inverted_index":{"The":[0],"use":[1,87,117],"of":[2,9,46,55,118],"detailed":[3],"metric":[4,36],"maps":[5],"for":[6,110,121],"autonomous":[7,53],"movement":[8,54],"robots":[10],"has":[11],"been":[12],"popularized":[13],"in":[14],"recent":[15],"times.":[16],"Three-dimensional":[17],"sensing":[18,47],"devices,":[19,48],"such":[20,63],"as":[21,64],"3D":[22],"LiDAR":[23],"and":[24,38,146],"RADAR,":[25],"which":[26],"are":[27,31],"expensive":[28],"yet":[29],"indispensable,":[30],"utilized":[32],"to":[33,51,72,75],"generate":[34],"these":[35],"maps,":[37],"ultimately,":[39],"perform":[40],"localization.":[41],"To":[42,106],"reduce":[43],"the":[44,116,131,154],"cost":[45],"we":[49],"try":[50],"realize":[52],"a":[56,147],"robot":[57,67,148],"using":[58,103],"only":[59],"cheap":[60],"image":[61,69],"sensors,":[62],"webcams.":[65],"For":[66],"navigation,":[68,112],"processing":[70],"tends":[71],"be":[73],"applied":[74],"collision":[76],"avoidance":[77],"by":[78],"finding":[79],"obstacles.":[80],"In":[81],"contrast,":[82],"our":[83],"approach":[84],"does":[85],"not":[86],"visual":[88,111],"object":[89],"detection":[90],"but":[91],"adopts":[92],"path":[93],"planning":[94],"based":[95,152],"on":[96,153],"movable":[97,132,156],"area":[98,133],"extraction":[99],"from":[100],"input":[101],"images":[102],"semantic":[104,122],"segmentation.":[105,123],"obtain":[107],"accurate":[108],"results":[109,125],"this":[113],"paper":[114],"proposes":[115],"novel":[119],"datasets":[120],"Experimental":[124],"showed":[126],"that":[127],"ICNet":[128],"could":[129],"extract":[130],"with":[134,143],"more":[135],"than":[136],"99%":[137],"accuracy":[138],"if":[139],"it":[140],"was":[141],"trained":[142],"appropriate":[144],"datasets,":[145],"can":[149],"run":[150],"automatically":[151],"extracted":[155],"area.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2026-01-17T23:10:49.606395","created_date":"2025-10-10T00:00:00"}