{"id":"https://openalex.org/W2027421768","doi":"https://doi.org/10.1109/coginf.2005.1532626","title":"Map element extraction model for pedestrian route guidance map","display_name":"Map element extraction model for pedestrian route guidance map","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2027421768","doi":"https://doi.org/10.1109/coginf.2005.1532626","mag":"2027421768"},"language":"en","primary_location":{"id":"doi:10.1109/coginf.2005.1532626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginf.2005.1532626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourth IEEE Conference on Cognitive Informatics, 2005. (ICCI 2005).","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/A5057944783","display_name":"Toshihiro Osaragi","orcid":"https://orcid.org/0000-0002-6327-3976"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"T. Osaragi","raw_affiliation_strings":["Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology, Japan","Dept. of Mech. & Environ. Informatics, Tokyo Inst. of Technol., Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Dept. of Mech. & Environ. Informatics, Tokyo Inst. of Technol., Japan#TAB#","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053758041","display_name":"Soichi Onozuka","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Onozuka","raw_affiliation_strings":["Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology, Japan","Dept. of Mech. & Environ. Informatics, Tokyo Inst. of Technol., Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Dept. of Mech. & Environ. Informatics, Tokyo Inst. of Technol., Japan#TAB#","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057944783"],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.25719349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"49","issue":null,"first_page":"144","last_page":"153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11904","display_name":"Spatial Cognition and Navigation","score":0.9915000200271606,"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/T11106","display_name":"Data Management and Algorithms","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6272000670433044},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6115777492523193},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5430320501327515},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4544054865837097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43283581733703613},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.20586654543876648},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20289349555969238}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6272000670433044},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6115777492523193},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5430320501327515},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4544054865837097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43283581733703613},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.20586654543876648},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20289349555969238},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coginf.2005.1532626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginf.2005.1532626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourth IEEE Conference on Cognitive Informatics, 2005. (ICCI 2005).","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W566122877","https://openalex.org/W579194918","https://openalex.org/W616998666","https://openalex.org/W644112212","https://openalex.org/W1973465224","https://openalex.org/W1999182833","https://openalex.org/W2029437281","https://openalex.org/W2085827136","https://openalex.org/W2313412404","https://openalex.org/W2324126312","https://openalex.org/W2510471722","https://openalex.org/W2525696216","https://openalex.org/W3041192426","https://openalex.org/W6615930244","https://openalex.org/W6616968829","https://openalex.org/W6619251374","https://openalex.org/W6620860288","https://openalex.org/W6727724119"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747","https://openalex.org/W2170022336"],"abstract_inverted_index":{"A":[0],"model":[1,75,94],"that":[2,32,76],"can":[3,77],"generate":[4],"compact":[5],"and":[6,53,66,97],"intelligible":[7],"route":[8,19,35,70,87],"guidance":[9,20,36,88],"maps":[10,37,89],"is":[11],"essential":[12],"for":[13,68],"distributing":[14],"efficient":[15],"information":[16],"on":[17,29],"pedestrian":[18,69],"through":[21],"mobile":[22],"terminals.":[23],"In":[24],"this":[25],"research,":[26],"we":[27,72],"focus":[28],"the":[30,33,43,83,92,102],"fact":[31],"existing":[34,58,103],"have":[38],"been":[39],"prepared":[40],"by":[41,91],"considering":[42],"characteristics":[44],"of":[45],"people's":[46],"spatial":[47],"cognition.":[48],"By":[49],"analyzing":[50],"which":[51,61],"roads":[52],"buildings":[54],"are":[55,64,95],"represented":[56],"in":[57,99],"maps,":[59],"i.e.,":[60],"map":[62,80],"elements":[63,81],"important":[65],"necessary":[67],"guidance,":[71],"construct":[73],"a":[74],"extract":[78],"key":[79],"from":[82],"geographical":[84],"database.":[85],"The":[86],"generated":[90],"proposed":[93],"shown":[96],"evaluated":[98],"comparison":[100],"with":[101],"maps.":[104]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}