{"id":"https://openalex.org/W2921220155","doi":"https://doi.org/10.1109/robio.2018.8665133","title":"Road Boundary Estimation for Mobile Robot using Deep Learning and Particle Filter","display_name":"Road Boundary Estimation for Mobile Robot using Deep Learning and Particle Filter","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2921220155","doi":"https://doi.org/10.1109/robio.2018.8665133","mag":"2921220155"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2018.8665133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2018.8665133","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":"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/A5036882111","display_name":"Kazuki Mana","orcid":null},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazuki Mana","raw_affiliation_strings":["Department of Computer Science and Engineering, Toyohashi University of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055946696","display_name":"Hiroaki Masuzawa","orcid":"https://orcid.org/0000-0002-4838-9516"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroaki Masuzawa","raw_affiliation_strings":["Department of Computer Science and Engineering, Toyohashi University of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071725508","display_name":"Jun Miura","orcid":"https://orcid.org/0000-0003-0153-2570"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Miura","raw_affiliation_strings":["Department of Computer Science and Engineering, Toyohashi University of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018898701","display_name":"Igi Ardiyanto","orcid":"https://orcid.org/0000-0002-0006-1458"},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Igi Ardiyanto","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Indonesia","institution_ids":["https://openalex.org/I165230279"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036882111"],"corresponding_institution_ids":["https://openalex.org/I136259955"],"apc_list":null,"apc_paid":null,"fwci":0.7373,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75994077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1545","last_page":"1550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991000294685364,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9965999722480774,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/particle-filter","display_name":"Particle filter","score":0.7683985233306885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7092024683952332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.692480742931366},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.665794312953949},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6653509140014648},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5765591859817505},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5101883411407471},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5082218647003174},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4988124370574951},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38362348079681396},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.32803210616111755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13610020279884338}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7683985233306885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7092024683952332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.692480742931366},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.665794312953949},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6653509140014648},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5765591859817505},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5101883411407471},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5082218647003174},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4988124370574951},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38362348079681396},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.32803210616111755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13610020279884338},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2018.8665133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2018.8665133","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":[{"score":0.75,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1910657905","https://openalex.org/W2045325863","https://openalex.org/W2138567452","https://openalex.org/W2144794286","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2536208356","https://openalex.org/W2963307106","https://openalex.org/W2963881378","https://openalex.org/W6639780620","https://openalex.org/W6681666973"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2015530857","https://openalex.org/W2556064263","https://openalex.org/W1991846142","https://openalex.org/W1583020711","https://openalex.org/W2611989081","https://openalex.org/W2539990421","https://openalex.org/W1986073206","https://openalex.org/W3004220299","https://openalex.org/W2146873086"],"abstract_inverted_index":{"This":[0],"research":[1],"aims":[2],"to":[3,32,101],"develop":[4],"a":[5,63,74,81,91,95],"method":[6,75],"of":[7,67,76,83],"estimating":[8,77],"road":[9,34,78,107],"boundaries":[10,17,61,79],"by":[11,41,55,80,110],"deep":[12,42,84,111],"learning.":[13,112],"Existing":[14],"methods":[15],"detect":[16],"using":[18],"specifically":[19],"designed":[20],"features,":[21],"and":[22,57,86],"if":[23],"such":[24],"features":[25,48,54],"are":[26],"not":[27,45],"available,":[28],"it":[29,51,58,98],"is":[30,99],"difficult":[31],"estimate":[33,60],"boundaries.":[35],"On":[36],"the":[37],"other":[38],"hand,":[39],"estimation":[40],"learning":[43,85],"does":[44],"require":[46],"designing":[47],"beforehand":[49],"because":[50],"can":[52],"learn":[53],"itself,":[56],"could":[59],"for":[62],"more":[64],"diverse":[65],"set":[66],"roads.":[68],"In":[69],"this":[70],"research,":[71],"we":[72],"propose":[73],"combination":[82],"particle":[87,96],"filter.":[88],"By":[89],"performing":[90],"temporal":[92],"filtering":[93],"with":[94,103],"filter,":[97],"possible":[100],"deal":[102],"occasional":[104],"failures":[105],"in":[106],"boundary":[108],"recognition":[109]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
