{"id":"https://openalex.org/W2006043129","doi":"https://doi.org/10.1109/ivs.2013.6629498","title":"Road user tracking at intersections using a multiple-model PHD filter","display_name":"Road user tracking at intersections using a multiple-model PHD filter","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2006043129","doi":"https://doi.org/10.1109/ivs.2013.6629498","mag":"2006043129"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2013.6629498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","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/A5110289998","display_name":"Daniel Mei\u00dfner","orcid":null},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Daniel Meissner","raw_affiliation_strings":["Institute of Measurement, Control, and Microtechnology, Ulm University, Ulm, Germany","Inst. of Meas., Control & Microtechnol. Ulm Univ., Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Measurement, Control, and Microtechnology, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"Inst. of Meas., Control & Microtechnol. Ulm Univ., Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014956076","display_name":"Stephan Reuter","orcid":"https://orcid.org/0000-0002-4858-1081"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stephan Reuter","raw_affiliation_strings":["Institute of Measurement, Control, and Microtechnology, Ulm University, Ulm, Germany","Inst. of Meas., Control & Microtechnol. Ulm Univ., Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Measurement, Control, and Microtechnology, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"Inst. of Meas., Control & Microtechnol. Ulm Univ., Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085054529","display_name":"Klaus Dietmayer","orcid":"https://orcid.org/0000-0002-1651-014X"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Dietmayer","raw_affiliation_strings":["Institute of Measurement, Control, and Microtechnology, Ulm University, Ulm, Germany","Inst. of Meas., Control & Microtechnol. Ulm Univ., Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Measurement, Control, and Microtechnology, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"Inst. of Meas., Control & Microtechnol. Ulm Univ., Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110289998"],"corresponding_institution_ids":["https://openalex.org/I196349391"],"apc_list":null,"apc_paid":null,"fwci":5.2899,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.9528193,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"377","last_page":"382"},"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":0.9993000030517578,"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":0.9993000030517578,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9836000204086304,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.7046471834182739},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6942232847213745},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6354557275772095},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6140179634094238},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5846452116966248},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5696496963500977},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5264022350311279},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5067082047462463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5001749992370605},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4313661456108093},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1750342845916748}],"concepts":[{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.7046471834182739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6942232847213745},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6354557275772095},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6140179634094238},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5846452116966248},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5696496963500977},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5264022350311279},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5067082047462463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5001749992370605},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4313661456108093},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1750342845916748},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2013.6629498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321469","display_name":"Bundesministerium f\u00fcr Wirtschaft und Technologie","ror":"https://ror.org/02vgg2808"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W1557595030","https://openalex.org/W1970490026","https://openalex.org/W2035753090","https://openalex.org/W2084506286","https://openalex.org/W2091823216","https://openalex.org/W2102691275","https://openalex.org/W2117397690","https://openalex.org/W2121990344","https://openalex.org/W2126885789","https://openalex.org/W2129255978","https://openalex.org/W2137585588","https://openalex.org/W2139521637","https://openalex.org/W2167536584","https://openalex.org/W2287884110","https://openalex.org/W2571050459","https://openalex.org/W6633511732","https://openalex.org/W6679320804"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W2094012830","https://openalex.org/W2789518417","https://openalex.org/W2215635302"],"abstract_inverted_index":{"A":[0],"major":[1],"aim":[2],"of":[3,11,42,71,87,93,104],"the":[4,9,40,85,88,94,98,105],"joint":[5],"project":[6],"Ko-PER":[7],"is":[8,45,65,100,109],"mitigation":[10],"fatal":[12],"accidents":[13],"at":[14],"urban":[15],"intersections.":[16],"Therefore":[17],"several":[18],"test":[19],"intersections":[20],"have":[21],"been":[22],"equipped":[23],"with":[24,57,74],"multiple":[25],"laser":[26],"range":[27],"finders":[28],"to":[29,84],"recognize":[30],"and":[31],"track":[32,59],"road":[33,43,72,106],"users.":[34],"Besides":[35],"a":[36,50,58,79],"high":[37],"traffic":[38],"density":[39,55],"variety":[41],"users":[44,73],"challenging.":[46],"In":[47],"this":[48],"contribution":[49],"multiple-model":[51],"(MM)":[52],"probability":[53],"hypothesis":[54],"filter":[56],"representation":[60],"extended":[61],"by":[62],"class":[63,89],"probabilities":[64,90,96],"proposed.":[66],"The":[67,102],"approach":[68],"enables":[69],"tracking":[70,108],"appropriate":[75],"motion":[76],"models":[77,99],"using":[78,111],"single":[80],"MM":[81],"filter.":[82],"Due":[83],"estimation":[86],"an":[91],"adaption":[92],"transition":[95],"between":[97],"possible.":[101],"performance":[103],"user":[107],"evaluated":[110],"real":[112],"world":[113],"data.":[114]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
