{"id":"https://openalex.org/W3119847674","doi":"https://doi.org/10.1109/iv47402.2020.9304689","title":"Split Covariance Intersection Filter based Front-Vehicle Track Estimation for Vehicle Platooning without Communication","display_name":"Split Covariance Intersection Filter based Front-Vehicle Track Estimation for Vehicle Platooning without Communication","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3119847674","doi":"https://doi.org/10.1109/iv47402.2020.9304689","mag":"3119847674"},"language":"en","primary_location":{"id":"doi:10.1109/iv47402.2020.9304689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","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/A5039525839","display_name":"Xiaofeng Chen","orcid":"https://orcid.org/0000-0003-4062-4515"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Chen","raw_affiliation_strings":["Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009256880","display_name":"Ming Yang","orcid":"https://orcid.org/0000-0002-8679-9137"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yang","raw_affiliation_strings":["Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036407197","display_name":"Wei Yuan","orcid":"https://orcid.org/0000-0001-8146-8235"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yuan","raw_affiliation_strings":["Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348461","display_name":"Hao Li","orcid":"https://orcid.org/0000-0001-5040-4044"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048517656","display_name":"Chunxiang Wang","orcid":"https://orcid.org/0000-0002-6885-6740"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxiang Wang","raw_affiliation_strings":["Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai","institution_ids":["https://openalex.org/I1327237609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1327237609"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1510","last_page":"1515"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9995999932289124,"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/T10524","display_name":"Traffic control and management","score":0.9995999932289124,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/covariance-intersection","display_name":"Covariance intersection","score":0.6896169781684875},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5637586712837219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5581585764884949},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5263028144836426},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.508543848991394},{"id":"https://openalex.org/keywords/platoon","display_name":"Platoon","score":0.4886026978492737},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4858098030090332},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48392945528030396},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4586605429649353},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.41130274534225464},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4058573246002197},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3316528797149658},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.320445716381073},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.245417058467865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23943930864334106},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22989177703857422},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.2289363443851471},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1958118975162506},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.12287315726280212}],"concepts":[{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.6896169781684875},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5637586712837219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5581585764884949},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5263028144836426},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.508543848991394},{"id":"https://openalex.org/C2777735972","wikidata":"https://www.wikidata.org/wiki/Q1061967","display_name":"Platoon","level":3,"score":0.4886026978492737},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4858098030090332},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48392945528030396},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4586605429649353},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.41130274534225464},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4058573246002197},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3316528797149658},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.320445716381073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.245417058467865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23943930864334106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22989177703857422},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.2289363443851471},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1958118975162506},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.12287315726280212},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv47402.2020.9304689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7463141778","display_name":null,"funder_award_id":"U1764264,61873165","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":20,"referenced_works":["https://openalex.org/W1520813427","https://openalex.org/W1975057272","https://openalex.org/W2007509686","https://openalex.org/W2010423410","https://openalex.org/W2042074386","https://openalex.org/W2089644495","https://openalex.org/W2089910489","https://openalex.org/W2108590711","https://openalex.org/W2125285130","https://openalex.org/W2143406091","https://openalex.org/W2163057321","https://openalex.org/W2164955049","https://openalex.org/W2461335435","https://openalex.org/W2561561700","https://openalex.org/W2736228988","https://openalex.org/W2773960818","https://openalex.org/W2789573231","https://openalex.org/W2896759354","https://openalex.org/W2990201738","https://openalex.org/W6631209646"],"related_works":["https://openalex.org/W2509635936","https://openalex.org/W2952184814","https://openalex.org/W2718384077","https://openalex.org/W1597192237","https://openalex.org/W2525877954","https://openalex.org/W2022823194","https://openalex.org/W2317323511","https://openalex.org/W2116564195","https://openalex.org/W2151517810","https://openalex.org/W1489099099"],"abstract_inverted_index":{"Vehicle":[0],"platooning":[1,174],"is":[2,15,40,61,74,85,98,118,162],"an":[3],"innovative":[4],"technology":[5],"for":[6],"intelligent":[7],"transportation":[8],"systems.":[9],"Each":[10],"vehicle":[11,39,54,127,173],"in":[12,69,100,120,137,145,176],"the":[13,37,47,52,59,78,89,101,109,133,138,142,146,155,159,167,180,185],"platoon":[14],"required":[16],"to":[17,55,87,103,129],"autonomously":[18],"follow":[19],"its":[20],"front":[21,38,53,126],"vehicle's":[22],"path":[23,32,60,115,150,156],"unconditionally":[24],"and":[25,33,42,67,151,182],"accurately.":[26],"For":[27],"platoons":[28],"without":[29],"communication,":[30],"accurate":[31],"velocity":[34,97,111,152],"estimation":[35],"of":[36,45,51,108,125,132,148,184],"challenging":[41],"crucial.":[43],"Instead":[44],"memorizing":[46],"original":[48],"detection":[49,128],"result":[50],"generate":[56],"a":[57,75,93,105,114,121],"path,":[58],"estimated":[62],"by":[63,158],"fusing":[64],"motion":[65,94],"prediction":[66],"observation":[68],"this":[70],"paper.":[71],"Since":[72],"there":[73],"correlation":[76],"between":[77],"two":[79],"estimates,":[80],"Split":[81],"Covariance":[82],"Intersection":[83],"Filter":[84],"used":[86,99,169],"guarantee":[88],"fusion":[90],"consistency.":[91],"Besides,":[92],"model":[95],"considering":[96],"filter":[102],"achieve":[104],"precise":[106],"estimate":[107],"predecessor's":[110],"simultaneously.":[112],"Moreover,":[113],"generation":[116],"approach":[117,161],"designed":[119],"high-frequency":[122],"loop":[123],"independent":[124],"improve":[130],"continuity":[131],"path.":[134],"Experimental":[135],"validations":[136],"real-world":[139],"environment":[140],"highlight":[141],"remarkable":[143],"improvement":[144],"accuracy":[147],"both":[149],"estimation.":[153],"Meanwhile,":[154],"generated":[157],"proposed":[160,186],"more":[163],"continuous":[164],"compared":[165],"with":[166],"commonly":[168],"method.":[170],"Furthermore,":[171],"complete":[172],"demonstrations":[175],"diverse":[177],"environments":[178],"prove":[179],"practicality":[181],"robustness":[183],"approach.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
