{"id":"https://openalex.org/W2147484844","doi":"https://doi.org/10.1109/iros.2003.1250642","title":"Identification of moving objects by a team of robots based on kinematic information","display_name":"Identification of moving objects by a team of robots based on kinematic information","publication_year":2004,"publication_date":"2004-07-08","ids":{"openalex":"https://openalex.org/W2147484844","doi":"https://doi.org/10.1109/iros.2003.1250642","mag":"2147484844"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2003.1250642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2003.1250642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5060302183","display_name":"Luis Montesano","orcid":"https://orcid.org/0000-0003-1183-349X"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"L. Montesano","raw_affiliation_strings":["Department de Inform\u00e1tics e Ingenier\u00eda de Sistemas, Universidad de Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department de Inform\u00e1tics e Ingenier\u00eda de Sistemas, Universidad de Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113286835","display_name":"Luis Montano","orcid":"https://orcid.org/0000-0002-0449-2300"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"L. Montano","raw_affiliation_strings":["Department de Inform\u00e1tica e Ingenier\u00eda de Sistemas, Universidad de Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department de Inform\u00e1tica e Ingenier\u00eda de Sistemas, Universidad de Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I255234318"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"284","last_page":"290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9925000071525574,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9868000149726868,"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/kinematics","display_name":"Kinematics","score":0.7671682834625244},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.7409356832504272},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6898274421691895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6643738150596619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6554045081138611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6331416368484497},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5607391595840454},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5512588024139404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13902732729911804}],"concepts":[{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.7671682834625244},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7409356832504272},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6898274421691895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6643738150596619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6554045081138611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6331416368484497},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5607391595840454},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5512588024139404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13902732729911804},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2003.1250642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2003.1250642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1757088154","https://openalex.org/W2103497972","https://openalex.org/W2107402720","https://openalex.org/W2126742341","https://openalex.org/W2128453677","https://openalex.org/W2129716255","https://openalex.org/W2138890480","https://openalex.org/W2140927080","https://openalex.org/W2152669093","https://openalex.org/W2167163859","https://openalex.org/W2571050459","https://openalex.org/W4234095850","https://openalex.org/W4301696323","https://openalex.org/W6679187224"],"related_works":["https://openalex.org/W2789522126","https://openalex.org/W2066693961","https://openalex.org/W2368363778","https://openalex.org/W122584421","https://openalex.org/W4244295168","https://openalex.org/W2753351751","https://openalex.org/W3185180338","https://openalex.org/W2889348933","https://openalex.org/W2351643838","https://openalex.org/W3033677963"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,12,41,75,83],"method":[4,39,91],"for":[5],"the":[6,48,57,60,65,90],"identification":[7],"of":[8,14,50,52,59,68],"moving":[9,28,69],"objects":[10,29,54,70],"by":[11,31,56],"team":[13],"robots":[15,33],"based":[16,46],"on":[17,47],"kinematic":[18],"information.":[19],"The":[20],"objective":[21],"is":[22,45],"to":[23,26,88],"be":[24],"able":[25],"identify":[27],"observed":[30],"different":[32],"without":[34],"using":[35,80],"specific":[36],"landmarks.":[37],"Our":[38],"uses":[40],"Bayesian":[42],"approach":[43],"and":[44,71,94],"matching":[49],"maps":[51,63],"dynamic":[53],"built":[55],"members":[58],"team.":[61],"These":[62],"contain":[64],"relative":[66],"position":[67],"their":[72],"velocity":[73],"at":[74],"given":[76],"time.":[77],"Experimental":[78],"results":[79],"data":[81],"from":[82],"real":[84],"environment":[85],"carried":[86],"out":[87],"validate":[89],"are":[92],"presented":[93],"discussed.":[95]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}