{"id":"https://openalex.org/W2739581014","doi":"https://doi.org/10.1109/ivs.2017.7995852","title":"Multi-camera traffic light recognition using a classifying Labeled Multi-Bernoulli filter","display_name":"Multi-camera traffic light recognition using a classifying Labeled Multi-Bernoulli filter","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2739581014","doi":"https://doi.org/10.1109/ivs.2017.7995852","mag":"2739581014"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2017.7995852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2017.7995852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5071377898","display_name":"Martin Bach","orcid":"https://orcid.org/0000-0002-8695-7529"},"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":"Martin Bach","raw_affiliation_strings":["The Institute of Measurement, Control and Microtechnology, Ulm University, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"The Institute of Measurement, Control and Microtechnology, Ulm University, 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":["The Institute of Measurement, Control and Microtechnology, Ulm University, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"The Institute of Measurement, Control and Microtechnology, Ulm University, 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":["The Institute of Measurement, Control and Microtechnology, Ulm University, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"The Institute of Measurement, Control and Microtechnology, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071377898"],"corresponding_institution_ids":["https://openalex.org/I196349391"],"apc_list":null,"apc_paid":null,"fwci":0.4487,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.6367898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1045","last_page":"1051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7152899503707886},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7040563821792603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6915549039840698},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5812773108482361},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4847554862499237},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.47916045784950256},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4719970226287842},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46493667364120483},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.43877464532852173},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43345049023628235},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3342491686344147},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15606465935707092}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152899503707886},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7040563821792603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6915549039840698},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5812773108482361},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4847554862499237},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.47916045784950256},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4719970226287842},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46493667364120483},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.43877464532852173},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43345049023628235},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3342491686344147},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15606465935707092},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2017.7995852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2017.7995852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W146482154","https://openalex.org/W1562810981","https://openalex.org/W1886022907","https://openalex.org/W1909771825","https://openalex.org/W1981643872","https://openalex.org/W2007122786","https://openalex.org/W2049244691","https://openalex.org/W2059050813","https://openalex.org/W2060602100","https://openalex.org/W2070947490","https://openalex.org/W2097117768","https://openalex.org/W2105529173","https://openalex.org/W2117539524","https://openalex.org/W2155893237","https://openalex.org/W2512944926","https://openalex.org/W2963037989","https://openalex.org/W4296979607","https://openalex.org/W6605976691","https://openalex.org/W6639621074"],"related_works":["https://openalex.org/W1619264321","https://openalex.org/W2899588557","https://openalex.org/W4254565718","https://openalex.org/W4298392611","https://openalex.org/W2249919526","https://openalex.org/W2791968570","https://openalex.org/W2215635302","https://openalex.org/W1982289787","https://openalex.org/W1570633076","https://openalex.org/W3011535717"],"abstract_inverted_index":{"The":[0,101],"correct":[1],"handling":[2],"of":[3,17,32,38,50,62,69,92,99],"complex":[4],"traffic-light-controlled":[5],"intersections":[6],"is":[7,31,54,77],"still":[8],"a":[9,15,44,67,83,106,122],"challenge":[10],"for":[11],"automated":[12],"vehicles.":[13],"While":[14],"number":[16],"image-based":[18],"approaches":[19],"tackle":[20],"close-range":[21],"recognitions,":[22],"an":[23,115],"early":[24],"traffic":[25,45,63],"light":[26,46],"detection":[27,47,61],"at":[28],"high":[29],"distances":[30],"great":[33],"importance":[34],"in":[35,56,87,112,117],"the":[36,60,74,90,96],"area":[37],"energy-efficient":[39],"driving.":[40],"For":[41],"this":[42,57],"reason,":[43],"system":[48,76,102],"consisting":[49],"multiple":[51],"on-board":[52],"cameras":[53],"presented":[55,75],"work,":[58],"enabling":[59],"lights":[64],"even":[65],"from":[66],"distance":[68],"more":[70],"than":[71],"200m.":[72],"Furthermore,":[73],"based":[78,94],"on":[79,95,105],"tracking":[80],"techniques":[81],"using":[82],"Labeled":[84],"Multi-Bernoulli":[85],"filter":[86],"combination":[88],"with":[89],"fusion":[91],"classifications":[93],"Dempster-Shafer":[97],"theory":[98],"evidence.":[100],"was":[103,119],"tested":[104],"real":[107],"world":[108],"data":[109],"set":[110],"collected":[111],"Germany":[113],"and":[114],"increase":[116],"performance":[118],"demonstrated":[120],"by":[121],"multi-camera":[123],"approach.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
