{"id":"https://openalex.org/W2156205309","doi":"https://doi.org/10.1177/1059712311398669","title":"Landmark vectors with quantized distance information for homing navigation","display_name":"Landmark vectors with quantized distance information for homing navigation","publication_year":2011,"publication_date":"2011-03-11","ids":{"openalex":"https://openalex.org/W2156205309","doi":"https://doi.org/10.1177/1059712311398669","mag":"2156205309"},"language":"en","primary_location":{"id":"doi:10.1177/1059712311398669","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1059712311398669","pdf_url":null,"source":{"id":"https://openalex.org/S183337005","display_name":"Adaptive Behavior","issn_l":"1059-7123","issn":["1059-7123","1741-2633"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adaptive Behavior","raw_type":"journal-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/A5077113188","display_name":"Seung-Eun Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung-Eun Yu","raw_affiliation_strings":["Biological Cybernetics Laboratory, School of Electrical and Electronic Engineering, Yonsei University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biological Cybernetics Laboratory, School of Electrical and Electronic Engineering, Yonsei University, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073818070","display_name":"DaeEun Kim","orcid":"https://orcid.org/0000-0003-0863-1694"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"DaeEun Kim","raw_affiliation_strings":["Biological Cybernetics Laboratory, School of Electrical and Electronic Engineering, Yonsei University, South Korea,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biological Cybernetics Laboratory, School of Electrical and Electronic Engineering, Yonsei University, South Korea,","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073818070"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":1.0657,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.72372736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"19","issue":"2","first_page":"121","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10423","display_name":"Neurobiology and Insect Physiology Research","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12321","display_name":"Insect Pheromone Research and Control","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect 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/T13187","display_name":"Diffusion and Search Dynamics","score":0.9300000071525574,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.9843160510063171},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.718461275100708},{"id":"https://openalex.org/keywords/homing","display_name":"Homing (biology)","score":0.6956468224525452},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6261627674102783},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6160038709640503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5598729252815247},{"id":"https://openalex.org/keywords/euclidean-vector","display_name":"Euclidean vector","score":0.4539165794849396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17885276675224304},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08115702867507935}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.9843160510063171},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.718461275100708},{"id":"https://openalex.org/C151872237","wikidata":"https://www.wikidata.org/wiki/Q1410759","display_name":"Homing (biology)","level":2,"score":0.6956468224525452},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6261627674102783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6160038709640503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5598729252815247},{"id":"https://openalex.org/C118965365","wikidata":"https://www.wikidata.org/wiki/Q44528","display_name":"Euclidean vector","level":2,"score":0.4539165794849396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17885276675224304},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08115702867507935},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/1059712311398669","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1059712311398669","pdf_url":null,"source":{"id":"https://openalex.org/S183337005","display_name":"Adaptive Behavior","issn_l":"1059-7123","issn":["1059-7123","1741-2633"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adaptive Behavior","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1499736777","https://openalex.org/W1562619934","https://openalex.org/W1573054303","https://openalex.org/W1969970265","https://openalex.org/W1974746540","https://openalex.org/W1976596954","https://openalex.org/W1979533714","https://openalex.org/W1986210471","https://openalex.org/W1991768699","https://openalex.org/W1998458540","https://openalex.org/W2002255905","https://openalex.org/W2003138118","https://openalex.org/W2013630475","https://openalex.org/W2016155112","https://openalex.org/W2024467466","https://openalex.org/W2024909108","https://openalex.org/W2027966801","https://openalex.org/W2042348293","https://openalex.org/W2050804160","https://openalex.org/W2067191022","https://openalex.org/W2076868462","https://openalex.org/W2077321821","https://openalex.org/W2079390801","https://openalex.org/W2087622854","https://openalex.org/W2087676942","https://openalex.org/W2096387789","https://openalex.org/W2117364466","https://openalex.org/W2138491947","https://openalex.org/W2142294832","https://openalex.org/W2145232418","https://openalex.org/W2145780837","https://openalex.org/W2148741637","https://openalex.org/W2155566009","https://openalex.org/W2159111162","https://openalex.org/W2166558756","https://openalex.org/W2167077256","https://openalex.org/W2167264631","https://openalex.org/W4254446689","https://openalex.org/W4312092243"],"related_works":["https://openalex.org/W2016546218","https://openalex.org/W2055563346","https://openalex.org/W2352223314","https://openalex.org/W166366606","https://openalex.org/W2509104183","https://openalex.org/W2509618504","https://openalex.org/W2156243485","https://openalex.org/W2098911910","https://openalex.org/W2148343984","https://openalex.org/W2156205309"],"abstract_inverted_index":{"Returning":[0],"home":[1],"after":[2],"an":[3],"outward":[4],"journey":[5],"is":[6,67],"a":[7,55,74,90,130,139],"skill":[8],"important":[9],"to":[10],"the":[11,44,108,112,122,143],"survival":[12],"of":[13,47,93,103,114,133,135,142,159],"many":[14],"insects":[15],"and":[16,39,64,86,138],"other":[17,160],"animals.":[18],"Many":[19],"hymenopterans":[20],"perform":[21],"homing":[22,94,126,150],"navigation":[23,71,95,127,162],"using":[24,73],"snapshot":[25],"images":[26,32],"taken":[27],"at":[28],"specific":[29],"locations.":[30],"Snapshot":[31],"can":[33,83,147],"be":[34,84],"processed":[35],"in":[36,121],"various":[37],"ways,":[38],"this":[40,51,65,87],"article":[41],"focuses":[42],"on":[43,81,107],"vector":[45,58],"model":[46,59],"landmark":[48,57,78,97,104,123,136],"distribution.":[49],"In":[50],"article,":[52],"we":[53],"suggest":[54],"new":[56,91],"with":[60,96,157],"quantized":[61,115],"distance":[62,116,120],"information,":[63],"method":[66],"highly":[68],"successful":[69],"for":[70,125],"without":[72],"reference":[75],"compass.":[76],"The":[77],"distances":[79,137],"based":[80],"egomotion":[82],"obtained":[85],"information":[88,117],"produces":[89],"type":[92],"vectors.":[98],"It":[99],"includes":[100],"varying":[101],"sizes":[102],"vectors,":[105],"depending":[106],"distance.":[109],"We":[110],"investigate":[111],"effect":[113],"or":[118],"continuous":[119],"vectors":[124],"performance.":[128,151],"Even":[129],"few":[131],"classes":[132],"discretization":[134],"rough":[140],"estimation":[141],"current":[144],"agent":[145],"location":[146],"show":[148],"excellent":[149],"Our":[152],"experimental":[153],"results":[154],"are":[155],"compared":[156],"those":[158],"conventional":[161],"algorithms.":[163]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-05-01T06:04:38.248271","created_date":"2025-10-10T00:00:00"}