乐胖代购免代理版

{"id":"https://openalex.org/W2940730057","doi":"https://doi.org/10.1109/tits.2019.2909980","title":"Learning Probabilistic Awareness Models for Detecting Abnormalities in Vehicle Motions","display_name":"Learning Probabilistic Awareness Models for Detecting Abnormalities in Vehicle Motions","publication_year":2019,"publication_date":"2019-04-27","ids":{"openalex":"https://openalex.org/W2940730057","doi":"https://doi.org/10.1109/tits.2019.2909980","mag":"2940730057"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2909980","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5007586148","display_name":"Damian Campo","orcid":"https://orcid.org/0000-0003-3720-9759"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Damian Campo","raw_affiliation_strings":["University of Genoa, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067321490","display_name":"Mohamad Baydoun","orcid":"https://orcid.org/0000-0001-5194-1730"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mohamad Baydoun","raw_affiliation_strings":["University of Genoa, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101436392","display_name":"Pablo Mar\u00edn","orcid":"https://orcid.org/0000-0001-7196-434X"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pablo Marin","raw_affiliation_strings":["Intelligent Systems Laboratory, Universidad Carlos III de Madrid, Legan\u00e9s, Spain"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Laboratory, Universidad Carlos III de Madrid, Legan\u00e9s, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101961834","display_name":"David Mart\u00edn","orcid":"https://orcid.org/0000-0003-3764-5083"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Martin","raw_affiliation_strings":["Intelligent Systems Laboratory, Universidad Carlos III de Madrid, Legan\u00e9s, Spain"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Laboratory, Universidad Carlos III de Madrid, Legan\u00e9s, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019722167","display_name":"Lucio Marcenaro","orcid":"https://orcid.org/0000-0003-1515-120X"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lucio Marcenaro","raw_affiliation_strings":["University of Genoa, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042213241","display_name":"Arturo de la Escalera","orcid":"https://orcid.org/0000-0002-2618-857X"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Arturo de la Escalera","raw_affiliation_strings":["Intelligent Systems Laboratory, Universidad Carlos III de Madrid, Legan\u00e9s, Spain"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Laboratory, Universidad Carlos III de Madrid, Legan\u00e9s, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055281228","display_name":"Carlo S. Regazzoni","orcid":"https://orcid.org/0000-0001-6617-1417"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]},{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["ES","IT"],"is_corresponding":false,"raw_author_name":"Carlo Regazzoni","raw_affiliation_strings":["Intelligent Systems Laboratory, Universidad Carlos III de Madrid, Legan\u00e9s, Spain","University of Genoa, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Laboratory, Universidad Carlos III de Madrid, Legan\u00e9s, Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.665,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":18,"citation_normalized_percentile":{"value":0.841381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":91},"biblio":{"volume":"21","issue":"3","first_page":"1308","last_page":"1320"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9975,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9971,"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/anomaly-detection","display_name":"Anomaly Detection","score":0.582862},{"id":"https://openalex.org/keywords/lane-detection","display_name":"Lane Detection","score":0.582358},{"id":"https://openalex.org/keywords/outlier-detection","display_name":"Outlier Detection","score":0.575859},{"id":"https://openalex.org/keywords/trajectory-prediction","display_name":"Trajectory Prediction","score":0.545464},{"id":"https://openalex.org/keywords/probabilistic-forecasting","display_name":"Probabilistic Forecasting","score":0.520734},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.47664413},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.42856783}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.69786394},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6954988},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6287585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6203321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.58480155},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5512482},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5107622},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.49224868},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.48867992},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48253104},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.47664413},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44603187},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.42856783},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4184922},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39567792},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.36951193},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24347624},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2909980","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320323770","funder_display_name":"Universidad Carlos III de Madrid","award_id":null},{"funder":"https://openalex.org/F4320334680","funder_display_name":"Education, Audiovisual and Culture Executive Agency","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":47,"referenced_works":["https://openalex.org/W1136540829","https://openalex.org/W1484830317","https://openalex.org/W1938929646","https://openalex.org/W1991770012","https://openalex.org/W1992085841","https://openalex.org/W1999432478","https://openalex.org/W2007575046","https://openalex.org/W2019738489","https://openalex.org/W2038159256","https://openalex.org/W2039916081","https://openalex.org/W2043993892","https://openalex.org/W2050932842","https://openalex.org/W2061052237","https://openalex.org/W2072957930","https://openalex.org/W2083238230","https://openalex.org/W2101823987","https://openalex.org/W2109389234","https://openalex.org/W2112738128","https://openalex.org/W2114574164","https://openalex.org/W2121167733","https://openalex.org/W2133235827","https://openalex.org/W2139228966","https://openalex.org/W2141596757","https://openalex.org/W2142125366","https://openalex.org/W2149021215","https://openalex.org/W2150361891","https://openalex.org/W2156537352","https://openalex.org/W2167052694","https://openalex.org/W2226592629","https://openalex.org/W2296228853","https://openalex.org/W2299778380","https://openalex.org/W2306644740","https://openalex.org/W2343204888","https://openalex.org/W2461607088","https://openalex.org/W2512275626","https://openalex.org/W2514486414","https://openalex.org/W2517236235","https://openalex.org/W2544649410","https://openalex.org/W2549639747","https://openalex.org/W2573016164","https://openalex.org/W2584760068","https://openalex.org/W2598111340","https://openalex.org/W2613377644","https://openalex.org/W2614130787","https://openalex.org/W2766365484","https://openalex.org/W2901136733","https://openalex.org/W44899684"],"related_works":["https://openalex.org/W2988126442","https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W2338543196","https://openalex.org/W2103419012","https://openalex.org/W2063982682","https://openalex.org/W2057568687","https://openalex.org/W1989130879","https://openalex.org/W1974414866","https://openalex.org/W1544691147"],"abstract_inverted_index":{"This":[0,79],"paper":[1,46,80],"proposes":[2],"a":[3,20,33,69,114,121],"method":[4],"to":[5,27,67,136],"detect":[6],"abnormal":[7,90,127],"motions":[8,128],"in":[9,48,120],"real":[10,110],"vehicle":[11,115,145],"situations":[12],"based":[13,36],"on":[14,37,109],"trajectory":[15],"data.":[16,40],"Our":[17],"approach":[18],"uses":[19],"Gaussian":[21],"process":[22],"(GP)":[23],"regression":[24,52],"that":[25,74,116],"facilitates":[26,135],"approximate":[28],"expected":[29],"vehicle's":[30,77],"movements":[31],"over":[32],"whole":[34],"environment":[35],"sparse":[38],"observed":[39,76],"The":[41,104],"main":[42],"contribution":[43],"of":[44,71,89,126],"this":[45],"consists":[47],"decomposing":[49],"the":[50,86,130,138],"GP":[51],"into":[53],"spatial":[54],"zones,":[55],"where":[56],"quasi-constant":[57],"velocity":[58],"models":[59,64],"are":[60,65],"valid.":[61],"Such":[62],"obtained":[63],"employed":[66],"build":[68],"set":[70],"Kalman":[72],"filters":[73,84],"encode":[75],"dynamics.":[78],"shows":[81],"how":[82],"proposed":[83,105],"enable":[85],"online":[87],"identification":[88],"motions.":[91],"Detected":[92],"abnormalities":[93],"can":[94],"be":[95],"modeled":[96],"and":[97,134,143],"learned":[98],"incrementally,":[99],"automatically":[100],"by":[101,113],"intelligent":[102],"systems.":[103],"methodology":[106],"is":[107],"tested":[108],"data":[111],"produced":[112],"interacts":[117],"with":[118],"pedestrians":[119],"closed":[122],"environment.":[123],"Automatic":[124],"detection":[125],"benefits":[129],"traffic":[131],"scene":[132],"understanding":[133],"close":[137],"gap":[139],"between":[140],"human":[141],"driving":[142],"autonomous":[144],"awareness.":[146]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2940730057","counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2}],"updated_date":"2024-12-05T19:13:35.339364","created_date":"2019-05-03"}