{"id":"https://openalex.org/W2160885028","doi":"https://doi.org/10.1109/irds.2002.1041372","title":"Differentiation and localization of target primitives using infrared sensors","display_name":"Differentiation and localization of target primitives using infrared sensors","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2160885028","doi":"https://doi.org/10.1109/irds.2002.1041372","mag":"2160885028"},"language":"en","primary_location":{"id":"doi:10.1109/irds.2002.1041372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/irds.2002.1041372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/RSJ International Conference on Intelligent Robots and System","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/A5079250441","display_name":"Tayfun Ayta\u00e7","orcid":null},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"T. Aytac","raw_affiliation_strings":["Department of Electrical Engineering, Bilkent University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043240200","display_name":"Billur Barshan","orcid":"https://orcid.org/0000-0001-6783-6572"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"B. Barshan","raw_affiliation_strings":["Department of Electrical Engineering, Bilkent University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":69.7524,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.99672107,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"1","issue":null,"first_page":"105","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"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":0.995199978351593,"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/T10888","display_name":"Augmented Reality Applications","score":0.987500011920929,"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":0.7102916240692139},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6896423101425171},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.6811280250549316},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6735415458679199},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6094061136245728},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.5708447098731995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5548306703567505},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4853421747684479},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4744613766670227},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.469165176153183},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.46417781710624695},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4617846608161926},{"id":"https://openalex.org/keywords/target-acquisition","display_name":"Target acquisition","score":0.4522767663002014},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4317973256111145},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3423655927181244},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.21030819416046143},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15692931413650513},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14558592438697815},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13082557916641235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7102916240692139},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6896423101425171},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.6811280250549316},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6735415458679199},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6094061136245728},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.5708447098731995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5548306703567505},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4853421747684479},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4744613766670227},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.469165176153183},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.46417781710624695},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4617846608161926},{"id":"https://openalex.org/C2779726219","wikidata":"https://www.wikidata.org/wiki/Q7685884","display_name":"Target acquisition","level":2,"score":0.4522767663002014},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4317973256111145},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3423655927181244},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.21030819416046143},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15692931413650513},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14558592438697815},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13082557916641235},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/irds.2002.1041372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/irds.2002.1041372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/RSJ International Conference on Intelligent Robots and System","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.bilkent.edu.tr:11693/27586","is_oa":false,"landing_page_url":"http://hdl.handle.net/11693/27586","pdf_url":null,"source":{"id":"https://openalex.org/S4306400079","display_name":"Bilkent University Institutional Repository (Bilkent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168864056","host_organization_name":"Bilkent University","host_organization_lineage":["https://openalex.org/I168864056"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Intelligent Robots and Systems","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320290","display_name":"University of Oxford","ror":"https://ror.org/052gg0110"},{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"},{"id":"https://openalex.org/F4320323792","display_name":"Bilkent \u00dcniversitesi","ror":"https://ror.org/02vh8a032"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1565629474","https://openalex.org/W1662729581","https://openalex.org/W1868898071","https://openalex.org/W1896443842","https://openalex.org/W1983348509","https://openalex.org/W2054983348","https://openalex.org/W2059865551","https://openalex.org/W2103403892","https://openalex.org/W2130883172","https://openalex.org/W2151934550","https://openalex.org/W2153971332","https://openalex.org/W2160885028","https://openalex.org/W4231156366","https://openalex.org/W6639128858"],"related_works":["https://openalex.org/W3006474185","https://openalex.org/W2483195039","https://openalex.org/W2281797687","https://openalex.org/W2358411735","https://openalex.org/W2048211457","https://openalex.org/W4250650723","https://openalex.org/W2611761074","https://openalex.org/W2358598243","https://openalex.org/W2331534598","https://openalex.org/W2313632216"],"abstract_inverted_index":{"This":[0,79],"study":[1],"investigates":[2],"the":[3,10,55,66,83,91,142],"use":[4,67,143],"of":[5,14,68,87,112,130,144],"low-cost":[6],"infrared":[7,145],"sensors":[8,34,146,162],"in":[9,19,43,50,147],"differentiation":[11,56,152],"and":[12,27,41,57,72,120,127,133,153,166],"localization":[13,58,154],"commonly":[15],"encountered":[16],"target":[17,39,84,92,116],"primitives":[18],"indoor":[20],"environments,":[21],"such":[22,33],"as":[23,159],"planes,":[24],"corners,":[25],"edges,":[26],"cylinders.":[28],"The":[29,102,137],"intensity":[30,70],"readings":[31],"from":[32],"are":[35,122],"highly":[36],"dependent":[37],"on":[38],"location":[40],"properties":[42],"a":[44,51],"way":[45],"which":[46],"cannot":[47],"be":[48,100],"represented":[49],"simple":[52,160],"manner,":[53],"making":[54],"process":[59,77],"difficult.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"propose":[65],"angular":[69],"scans":[71],"present":[73],"an":[74],"algorithm":[75],"to":[76],"them.":[78],"approach":[80],"can":[81,98],"determine":[82],"type":[85,93],"independent":[86],"its":[88,96],"position.":[89],"Once":[90],"is":[94,104,118],"identified,":[95],"position":[97],"also":[99],"estimated.":[101],"method":[103,139],"verified":[105],"experimentally.":[106],"An":[107],"average":[108],"correct":[109],"classification":[110],"rate":[111],"97%":[113],"over":[114],"all":[115],"types":[117],"achieved":[119],"targets":[121],"localized":[123],"within":[124],"absolute":[125],"range":[126],"azimuth":[128],"errors":[129],"0.8":[131],"cm":[132],"1.6/spl":[134],"deg/,":[135],"respectively.":[136],"proposed":[138],"should":[140],"facilitate":[141],"mobile":[148],"robot":[149],"applications":[150],"for":[151,163],"beyond":[155],"their":[156],"common":[157],"usage":[158],"proximity":[161],"object":[164],"detection":[165],"collision":[167],"avoidance.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}