{"id":"https://openalex.org/W2968235936","doi":"https://doi.org/10.23919/ecc.2019.8795825","title":"Partition-Based Parametric Active Model Discrimination with Applications to Driver Intention Estimation","display_name":"Partition-Based Parametric Active Model Discrimination with Applications to Driver Intention Estimation","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2968235936","doi":"https://doi.org/10.23919/ecc.2019.8795825","mag":"2968235936"},"language":"en","primary_location":{"id":"doi:10.23919/ecc.2019.8795825","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc.2019.8795825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 18th European Control Conference (ECC)","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/A5062480993","display_name":"Ruochen Niu","orcid":"https://orcid.org/0000-0003-0611-8512"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ruochen Niu","raw_affiliation_strings":["School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008650661","display_name":"Qiang Shen","orcid":"https://orcid.org/0000-0001-8428-2356"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiang Shen","raw_affiliation_strings":["School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011843629","display_name":"Sze Zheng Yong","orcid":"https://orcid.org/0000-0002-2104-3128"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sze Zheng Yong","raw_affiliation_strings":["School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062480993"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.1663,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47470766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3880","last_page":"3885"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11236","display_name":"Control Systems and Identification","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/partition","display_name":"Partition (number theory)","score":0.7165009379386902},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.7122482061386108},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5969873666763306},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5792167782783508},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5265110731124878},{"id":"https://openalex.org/keywords/bilevel-optimization","display_name":"Bilevel optimization","score":0.47714754939079285},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.42039787769317627},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41847410798072815},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41375401616096497},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3745996654033661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32192426919937134},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2148967981338501}],"concepts":[{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.7165009379386902},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.7122482061386108},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5969873666763306},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5792167782783508},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5265110731124878},{"id":"https://openalex.org/C3309286","wikidata":"https://www.wikidata.org/wiki/Q4907693","display_name":"Bilevel optimization","level":3,"score":0.47714754939079285},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.42039787769317627},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41847410798072815},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41375401616096497},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3745996654033661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32192426919937134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2148967981338501},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ecc.2019.8795825","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc.2019.8795825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 18th European Control Conference (ECC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1511213320","https://openalex.org/W1997965309","https://openalex.org/W2043366665","https://openalex.org/W2047831529","https://openalex.org/W2056592052","https://openalex.org/W2085248189","https://openalex.org/W2109747166","https://openalex.org/W2131116400","https://openalex.org/W2132029223","https://openalex.org/W2135663228","https://openalex.org/W2166042538","https://openalex.org/W2400908863","https://openalex.org/W2528300482","https://openalex.org/W2565370028","https://openalex.org/W2592220012","https://openalex.org/W2766870421","https://openalex.org/W2963694068","https://openalex.org/W4249625715","https://openalex.org/W6745935017"],"related_works":["https://openalex.org/W567560085","https://openalex.org/W2890257643","https://openalex.org/W1495503294","https://openalex.org/W2161149697","https://openalex.org/W255338418","https://openalex.org/W2340378315","https://openalex.org/W2013038594","https://openalex.org/W1604175135","https://openalex.org/W3090200643","https://openalex.org/W2602322400"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,57,102],"propose":[4],"a":[5,15,46,89,96,115],"partition-based":[6],"parametric":[7],"active":[8],"model":[9],"discrimination":[10],"approach":[11,109],"that":[12,27],"distinguishes":[13],"among":[14],"set":[16],"of":[17,39,48,106],"discrete-time":[18],"affine":[19],"time-invariant":[20],"models":[21],"with":[22],"uncontrolled":[23],"inputs,":[24],"model-independent":[25],"parameters":[26,71],"are":[28],"revealed":[29,70],"in":[30,64,73,114],"real-time":[31],"and":[32,74,92],"noise.":[33],"By":[34],"partitioning":[35],"the":[36,40,42,65,69,76,104,107],"operating":[37],"region":[38],"parameters,":[41],"problem":[43,85,91],"turns":[44],"into":[45],"sequence":[47],"offline":[49,81],"optimization":[50],"problems.":[51],"Thus,":[52],"at":[53],"each":[54],"time":[55],"instant,":[56],"only":[58],"need":[59],"to":[60],"determine":[61],"which":[62],"subregion":[63],"resulting":[66],"partition":[67],"tree":[68],"lie":[72],"select":[75],"corresponding":[77],"pre-computed":[78],"inputs.":[79],"The":[80],"optimal":[82],"input":[83],"design":[84],"is":[86],"formulated":[87],"as":[88,95],"bilevel":[90],"further":[93],"cast":[94],"mixed-integer":[97],"linear":[98],"program":[99],"(MILP).":[100],"Finally,":[101],"demonstrate":[103],"effectiveness":[105],"proposed":[108],"for":[110],"estimating":[111],"driver":[112],"intention":[113],"lane-changing":[116],"scenario.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
