{"id":"https://openalex.org/W2921807670","doi":"https://doi.org/10.1109/robio.2018.8665288","title":"A Stereo Visual Obstacle Detection Approach Using Fuzzy Logic and Neural Network in Agriculture","display_name":"A Stereo Visual Obstacle Detection Approach Using Fuzzy Logic and Neural Network in Agriculture","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2921807670","doi":"https://doi.org/10.1109/robio.2018.8665288","mag":"2921807670"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2018.8665288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2018.8665288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100944421","display_name":"Jin Yan","orcid":"https://orcid.org/0000-0002-9859-9052"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Yan","raw_affiliation_strings":["Nanjing University of Science and Technology, Jiangsu, CO, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Jiangsu, CO, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102013358","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0003-4098-2339"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Nanjing University of Science and Technology, Jiangsu, CO, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Jiangsu, CO, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1539","last_page":"1544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9771000146865845,"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":0.704193115234375},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.7033920884132385},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6526025533676147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6236884593963623},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6222840547561646},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5564970374107361},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.48048797249794006},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0706644356250763}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704193115234375},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.7033920884132385},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6526025533676147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6236884593963623},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6222840547561646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5564970374107361},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.48048797249794006},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0706644356250763},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2018.8665288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2018.8665288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1542373025","https://openalex.org/W1592075725","https://openalex.org/W1677409904","https://openalex.org/W1924453835","https://openalex.org/W1972223457","https://openalex.org/W2034430035","https://openalex.org/W2086701430","https://openalex.org/W2102978542","https://openalex.org/W2104572919","https://openalex.org/W2110946546","https://openalex.org/W2111308925","https://openalex.org/W2113018220","https://openalex.org/W2117228865","https://openalex.org/W2128758960","https://openalex.org/W2134311587","https://openalex.org/W2141584146","https://openalex.org/W2145056072","https://openalex.org/W2146939114","https://openalex.org/W2151103935","https://openalex.org/W2153486154","https://openalex.org/W2156973554","https://openalex.org/W2170282673","https://openalex.org/W2291536712","https://openalex.org/W2548204421","https://openalex.org/W2754362825","https://openalex.org/W3146868461","https://openalex.org/W4285719527","https://openalex.org/W6632421878","https://openalex.org/W6637400245","https://openalex.org/W6676797363","https://openalex.org/W6677308130","https://openalex.org/W6685227622","https://openalex.org/W6729614784","https://openalex.org/W6744455385"],"related_works":["https://openalex.org/W2126807813","https://openalex.org/W2891167363","https://openalex.org/W2390004782","https://openalex.org/W2114267838","https://openalex.org/W2031620013","https://openalex.org/W2356962014","https://openalex.org/W125675508","https://openalex.org/W1536406305","https://openalex.org/W2391245565","https://openalex.org/W2370729752"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,26],"stereo":[4],"visual":[5],"obstacle":[6,20],"detection":[7],"approach":[8],"using":[9],"fuzzy":[10],"logic":[11],"and":[12,21,64,87],"neural":[13,28],"network":[14],"in":[15,38,60,91],"agriculture.":[16],"Firstly,":[17],"by":[18],"training":[19],"non-obstacle":[22],"colour":[23],"features":[24],"with":[25],"6-input":[27],"network,":[29],"appearance_based":[30],"method":[31],"is":[32,75],"applied":[33],"to":[34,46],"extract":[35,47],"novel":[36],"regions":[37],"monocular":[39],"image.":[40],"We":[41],"apply":[42],"improved":[43],"FAST":[44],"algorithm":[45,74],"features,":[48],"which":[49],"adapts":[50],"illumination":[51],"variation":[52],"better.":[53],"At":[54],"last,":[55],"we":[56],"match":[57],"feature":[58],"points":[59],"the":[61,66,73],"image":[62],"pairs":[63],"obtain":[65],"disparity":[67],"information.":[68],"The":[69],"results":[70],"show":[71],"that":[72],"capable":[76],"of":[77],"detecting":[78],"obstacles":[79,90],"such":[80],"as":[81],"vehicles,":[82],"humans,":[83],"trees,":[84],"plastic":[85],"bar":[86],"other":[88],"common":[89],"agricultural":[92],"environment":[93],"successfully.":[94]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}