{"id":"https://openalex.org/W178184711","doi":"https://doi.org/10.1007/978-3-319-09333-8_7","title":"Optimization of Moving Objects Trajectory Using Particle Filter","display_name":"Optimization of Moving Objects Trajectory Using Particle Filter","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W178184711","doi":"https://doi.org/10.1007/978-3-319-09333-8_7","mag":"178184711"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-09333-8_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-09333-8_7","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5046580345","display_name":"Yang-Weon Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I195373058","display_name":"Honam University","ror":"https://ror.org/04vj5r404","country_code":"KR","type":"education","lineage":["https://openalex.org/I195373058"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yangweon Lee","raw_affiliation_strings":["Honam University, 417, Eodeung-daero, Gwangsan-gu, Gwangju, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honam University, 417, Eodeung-daero, Gwangsan-gu, Gwangju, Korea","institution_ids":["https://openalex.org/I195373058"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5046580345"],"corresponding_institution_ids":["https://openalex.org/I195373058"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.01474299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"60"},"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":0.9983000159263611,"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":0.9983000159263611,"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":0.9958000183105469,"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":0.9904000163078308,"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/observability","display_name":"Observability","score":0.8172978162765503},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7391097545623779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7364076375961304},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.7222875356674194},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6347295045852661},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6040372252464294},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5837368965148926},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5475587844848633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5006189346313477},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.43833670020103455},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42063283920288086},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37340423464775085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14228981733322144},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10561370849609375}],"concepts":[{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.8172978162765503},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7391097545623779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364076375961304},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7222875356674194},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6347295045852661},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6040372252464294},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5837368965148926},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5475587844848633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5006189346313477},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.43833670020103455},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42063283920288086},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37340423464775085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14228981733322144},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10561370849609375},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-09333-8_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-09333-8_7","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1482070154","https://openalex.org/W1532653240","https://openalex.org/W1604322045","https://openalex.org/W2039921094","https://openalex.org/W2049306082","https://openalex.org/W2068424163","https://openalex.org/W2093816903","https://openalex.org/W2120329636","https://openalex.org/W2126262069","https://openalex.org/W2161710599","https://openalex.org/W2502896360","https://openalex.org/W2504782928","https://openalex.org/W4206318793"],"related_works":["https://openalex.org/W1989212443","https://openalex.org/W2103644279","https://openalex.org/W2373557848","https://openalex.org/W4302986566","https://openalex.org/W2088970451","https://openalex.org/W1968585197","https://openalex.org/W2157008402","https://openalex.org/W2135362996","https://openalex.org/W2592302855","https://openalex.org/W2150578674"],"abstract_inverted_index":null,"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}