{"id":"https://openalex.org/W2753323769","doi":"https://doi.org/10.1109/ifsa-scis.2017.8023347","title":"Learning based semantic segmentation for robot navigation in outdoor environment","display_name":"Learning based semantic segmentation for robot navigation in outdoor environment","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2753323769","doi":"https://doi.org/10.1109/ifsa-scis.2017.8023347","mag":"2753323769"},"language":"en","primary_location":{"id":"doi:10.1109/ifsa-scis.2017.8023347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifsa-scis.2017.8023347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)","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/A5102573739","display_name":"Janice Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Janice Lin","raw_affiliation_strings":["Department of Electrical Engineering, National Central University, Zhongli City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Central University, Zhongli City, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113422835","display_name":"Wen-June Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-June Wang","raw_affiliation_strings":["Department of Electrical Engineering, National Central University, Zhongli City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Central University, Zhongli City, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103953526","display_name":"Shengkai Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Kai Huang","raw_affiliation_strings":["Department of Electrical Engineering, National Central University, Zhongli City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Central University, Zhongli City, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071717800","display_name":"Hsiang-Chieh Chen","orcid":"https://orcid.org/0000-0003-0097-4318"},"institutions":[{"id":"https://openalex.org/I125934054","display_name":"National United University","ror":"https://ror.org/04twccc71","country_code":"TW","type":"education","lineage":["https://openalex.org/I125934054"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiang-Chieh Chen","raw_affiliation_strings":["Department of Electrical Engineering, National United University, Miaoli City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National United University, Miaoli City, Taiwan","institution_ids":["https://openalex.org/I125934054"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102573739"],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":1.0012,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.8521973,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9991999864578247,"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/T10586","display_name":"Robotic Path Planning Algorithms","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7652051448822021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7469292283058167},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6619023680686951},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6255415678024292},{"id":"https://openalex.org/keywords/mobile-robot-navigation","display_name":"Mobile robot navigation","score":0.617180585861206},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6020999550819397},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.539775550365448},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5314831733703613},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5080173015594482},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.42733651399612427},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42613479495048523},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.42368319630622864},{"id":"https://openalex.org/keywords/robot-control","display_name":"Robot control","score":0.41636645793914795}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7652051448822021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7469292283058167},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6619023680686951},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6255415678024292},{"id":"https://openalex.org/C26990112","wikidata":"https://www.wikidata.org/wiki/Q6887224","display_name":"Mobile robot navigation","level":5,"score":0.617180585861206},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6020999550819397},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.539775550365448},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5314831733703613},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5080173015594482},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.42733651399612427},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42613479495048523},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.42368319630622864},{"id":"https://openalex.org/C65401140","wikidata":"https://www.wikidata.org/wiki/Q7353385","display_name":"Robot control","level":4,"score":0.41636645793914795}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ifsa-scis.2017.8023347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifsa-scis.2017.8023347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5600000023841858,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1910657905","https://openalex.org/W1964046750","https://openalex.org/W2014257518","https://openalex.org/W2017062739","https://openalex.org/W2046839419","https://openalex.org/W2061395525","https://openalex.org/W2108967569","https://openalex.org/W2130706967","https://openalex.org/W2171943915","https://openalex.org/W2236231320","https://openalex.org/W2320342477","https://openalex.org/W2419448466","https://openalex.org/W2963881378","https://openalex.org/W3083258709","https://openalex.org/W4293406525","https://openalex.org/W6689906485"],"related_works":["https://openalex.org/W4285827401","https://openalex.org/W2965672371","https://openalex.org/W2047788632","https://openalex.org/W2123436641","https://openalex.org/W2041038525","https://openalex.org/W2118648141","https://openalex.org/W2096680898","https://openalex.org/W2064048336","https://openalex.org/W2134943711","https://openalex.org/W2151698195"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,9,28,49,56,73],"vision-based":[4],"navigation":[5,24,70],"control":[6,25],"strategy":[7],"for":[8,54],"wheeled":[10],"robot":[11],"traveling":[12,87],"outside.":[13],"The":[14],"main":[15],"achievements":[16],"contain":[17],"road":[18,46],"detection":[19],"with":[20,88],"deep":[21,31,74],"learning":[22],"and":[23,42,61,91],"scheme":[26],"of":[27,69,76],"robot.":[29],"A":[30],"convolutional":[32,77],"neural":[33],"network":[34],"is":[35,52],"first":[36],"employed":[37],"to":[38,44],"perform":[39],"pixel-wise":[40],"segmentation":[41],"thus":[43],"find":[45],"regions.":[47],"Next,":[48],"fuzzy":[50],"controller":[51],"designed":[53],"commanding":[55],"robot's":[57],"activities":[58],"including":[59],"movement":[60],"speed.":[62],"Experimental":[63],"results":[64],"verify":[65],"the":[66,81],"essential":[67],"capability":[68],"by":[71],"using":[72],"architecture":[75],"network.":[78],"In":[79],"brief,":[80],"proposed":[82],"approach":[83],"certainly":[84],"reaches":[85],"autonomous":[86],"collision":[89],"avoiding":[90],"wayfinding":[92],"functionalities.":[93]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}