{"id":"https://openalex.org/W2095296133","doi":"https://doi.org/10.1145/2168556.2168581","title":"Self-localization using fixations as landmarks","display_name":"Self-localization using fixations as landmarks","publication_year":2012,"publication_date":"2012-03-28","ids":{"openalex":"https://openalex.org/W2095296133","doi":"https://doi.org/10.1145/2168556.2168581","mag":"2095296133"},"language":"en","primary_location":{"id":"doi:10.1145/2168556.2168581","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2168556.2168581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Symposium on Eye Tracking Research and Applications","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/A5086252073","display_name":"Lisa Tiberio","orcid":null},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lisa M. Tiberio","raw_affiliation_strings":["Raytheon Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Raytheon Corporation","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080884039","display_name":"Roxanne L. Canosa","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roxanne L. Canosa","raw_affiliation_strings":["Rochester Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14699468,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"155","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.991100013256073,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8483598828315735},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.826007068157196},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7569236755371094},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6863763928413391},{"id":"https://openalex.org/keywords/fixation","display_name":"Fixation (population genetics)","score":0.5714889168739319},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5656490325927734},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41297468543052673}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8483598828315735},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.826007068157196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7569236755371094},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6863763928413391},{"id":"https://openalex.org/C146249460","wikidata":"https://www.wikidata.org/wiki/Q2914991","display_name":"Fixation (population genetics)","level":3,"score":0.5714889168739319},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5656490325927734},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41297468543052673},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2168556.2168581","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2168556.2168581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Symposium on Eye Tracking Research and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W147723833","https://openalex.org/W177597988","https://openalex.org/W1533162639","https://openalex.org/W1570448133","https://openalex.org/W1971861040","https://openalex.org/W1978766369","https://openalex.org/W2047900005","https://openalex.org/W2090792358","https://openalex.org/W2101028261","https://openalex.org/W2105994593","https://openalex.org/W2142136129","https://openalex.org/W2147713266","https://openalex.org/W2170472272","https://openalex.org/W2914885528","https://openalex.org/W2966207845","https://openalex.org/W4244817674"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W4394266730","https://openalex.org/W1990856605","https://openalex.org/W2053783616","https://openalex.org/W2545348020","https://openalex.org/W2912751582"],"abstract_inverted_index":{"Self-localization":[0],"is":[1],"the":[2,27,31,39,52,62,72,79,83,88,96,99,108,114,118,139,148,206,210,213],"process":[3,32],"of":[4,29,33,46,51,61,78,98,111,147,177,209,215],"knowing":[5],"your":[6,12],"position":[7],"and":[8,42,92,127,135,155],"location":[9,97,208],"relative":[10],"to":[11,70,94,153,161,171,181,203],"surroundings.":[13],"This":[14,116,141],"research":[15],"integrated":[16],"artificial":[17],"intelligence":[18],"techniques":[19],"into":[20],"a":[21,44,49,144,173,198],"custom-built":[22],"portable":[23],"eye":[24,40],"tracker":[25,41],"for":[26,107,120,143,225],"purpose":[28],"automating":[30],"determining":[34,226],"indoor":[35,231],"self-localization.":[36],"Participants":[37],"wore":[38],"walked":[43],"series":[45],"corridors":[47],"while":[48],"video":[50,64],"scene":[53,63,89,129,149,192],"was":[54,158,201],"recorded":[55],"along":[56],"with":[57],"fixation":[58,66,85,200],"locations.":[59,193],"Patches":[60],"without":[65],"information":[67],"were":[68,90,105,169],"used":[69,93,106,223],"train":[71],"classifier":[73],"by":[74],"creating":[75],"feature":[76],"maps":[77],"corridors.":[80],"For":[81],"testing":[82],"classifier,":[84],"locations":[86],"in":[87,113,138,229],"extracted":[91],"determine":[95,162],"participant.":[100,211],"Scene":[101],"patches":[102,166],"surrounding":[103,167],"fixations":[104,168],"classification":[109,130],"instead":[110],"objects":[112,134,157],"environment.":[115,140],"eliminated":[117],"need":[119],"complex":[121],"computer":[122],"vision":[123],"object":[124],"recognition":[125],"algorithms":[126],"made":[128],"less":[131],"dependent":[132],"upon":[133],"their":[136],"placement":[137],"allowed":[142],"sparse":[145],"representation":[146],"since":[150],"image":[151,165,183,187],"processing":[152],"detect":[154],"recognize":[156],"not":[159,221],"necessary":[160],"location.":[163],"Experimentally,":[164],"found":[170],"be":[172],"highly":[174],"reliable":[175],"indicator":[176],"location,":[178],"as":[179],"compared":[180],"random":[182],"patches,":[184,188],"non-fixated":[185],"salient":[186],"or":[189,232],"other":[190],"non-salient":[191],"In":[194],"some":[195],"cases,":[196],"only":[197],"single":[199],"needed":[202],"accurately":[204],"identify":[205],"correct":[207],"To":[212],"best":[214],"our":[216],"knowledge,":[217],"this":[218],"technique":[219],"has":[220],"been":[222],"before":[224],"human":[227],"self-localization":[228],"either":[230],"outdoor":[233],"settings.":[234]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
