{"id":"https://openalex.org/W4416923876","doi":"https://doi.org/10.1109/iccais67508.2025.11262084","title":"Adaptive Tracking Method for Extended Target Based on Gaussian Processes","display_name":"Adaptive Tracking Method for Extended Target Based on Gaussian Processes","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W4416923876","doi":"https://doi.org/10.1109/iccais67508.2025.11262084"},"language":null,"primary_location":{"id":"doi:10.1109/iccais67508.2025.11262084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais67508.2025.11262084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 14th International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5076703524","display_name":"Jie Shi","orcid":"https://orcid.org/0000-0002-8545-5412"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Shi","raw_affiliation_strings":["School of Electrical and Control Engineering Shaanxi University of Science and Technology,Xi&#x0027;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering Shaanxi University of Science and Technology,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I51622183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103166298","display_name":"Xiaomeng Cao","orcid":"https://orcid.org/0000-0003-2668-9056"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomeng Cao","raw_affiliation_strings":["School of Electrical and Control Engineering Shaanxi University of Science and Technology,Xi&#x0027;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering Shaanxi University of Science and Technology,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I51622183"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100444156","display_name":"Weifeng Liu","orcid":"https://orcid.org/0000-0002-5388-9080"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifeng Liu","raw_affiliation_strings":["School of Electrical and Control Engineering Shaanxi University of Science and Technology,Xi&#x0027;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering Shaanxi University of Science and Technology,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I51622183"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51622183"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35493485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.8938999772071838,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.8938999772071838,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.0284000001847744,"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/T12125","display_name":"Aerospace and Aviation Technology","score":0.0032999999821186066,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7475000023841858},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6653000116348267},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5485000014305115},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5273000001907349},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4941999912261963},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43140000104904175},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39419999718666077},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.3465000092983246}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7475000023841858},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6653000116348267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6193000078201294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5699999928474426},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5485000014305115},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5273000001907349},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4941999912261963},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46369999647140503},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43140000104904175},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39419999718666077},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36239999532699585},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.3465000092983246},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.3294999897480011},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.32899999618530273},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.28529998660087585},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.28119999170303345},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.27410000562667847},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2572999894618988},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais67508.2025.11262084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais67508.2025.11262084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 14th International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4040045022","display_name":null,"funder_award_id":"62203351,62376147,2023-YBGY-001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2058568645","https://openalex.org/W2587978179","https://openalex.org/W3093426505","https://openalex.org/W3197011608","https://openalex.org/W3216281972","https://openalex.org/W4286377454","https://openalex.org/W4313289037","https://openalex.org/W4385832202","https://openalex.org/W4390576500","https://openalex.org/W4399769216","https://openalex.org/W4400490356","https://openalex.org/W4405848090"],"related_works":[],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,59,67,80],"challenge":[3],"of":[4,66,85],"tracking":[5,21,68,86],"group":[6],"targets":[7,87],"whose":[8],"shapes":[9],"undergo":[10],"sudden":[11],"changes":[12],"in":[13,50],"dynamic":[14],"environments,":[15],"this":[16],"paper":[17],"proposes":[18],"an":[19],"adaptive":[20,74],"method":[22],"based":[23],"on":[24],"Gaussian":[25,34],"Processes":[26],"(GP)":[27],"and":[28,77,82],"Extended":[29],"Kalman":[30],"Filtering.":[31],"By":[32],"combining":[33],"Process":[35],"regression":[36],"with":[37,88],"Bayesian":[38],"inference,":[39],"a":[40],"sliding-window":[41],"mechanism":[42],"is":[43,61],"designed":[44],"to":[45],"capture":[46],"shape":[47],"mutation":[48],"information":[49],"real":[51],"time":[52],"during":[53],"target":[54],"motion.":[55],"Using":[56],"prior":[57],"information,":[58],"contour":[60,75],"re-estimated,":[62],"enabling":[63],"rapid":[64],"adjustment":[65],"model's":[69],"parameter":[70],"configuration.":[71],"This":[72],"achieves":[73],"updates":[76],"effectively":[78],"improves":[79],"accuracy":[81],"real-time":[83],"performance":[84],"variable":[89],"shapes.":[90]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-12-02T00:00:00"}
