{"id":"https://openalex.org/W2025846795","doi":"https://doi.org/10.1109/ivs.2011.5940468","title":"Object-oriented Bayesian networks for detection of lane change maneuvers","display_name":"Object-oriented Bayesian networks for detection of lane change maneuvers","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2025846795","doi":"https://doi.org/10.1109/ivs.2011.5940468","mag":"2025846795"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2011.5940468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2011.5940468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 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/A5028220623","display_name":"Dietmar Kasper","orcid":null},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Dietmar Kasper","raw_affiliation_strings":["Group Research and Advanced Engineering, Daimler Benz Aerospace, Boblingen, Germany","Daimler AG Group Research & Advanced Engineering, B\u00f6blingen, Germany"],"affiliations":[{"raw_affiliation_string":"Group Research and Advanced Engineering, Daimler Benz Aerospace, Boblingen, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Daimler AG Group Research & Advanced Engineering, B\u00f6blingen, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103174382","display_name":"Galia Weidl","orcid":"https://orcid.org/0000-0002-6934-6347"},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Galia Weidl","raw_affiliation_strings":["Group Research and Advanced Engineering, Daimler Benz Aerospace, Boblingen, Germany","Daimler AG Group Research & Advanced Engineering, B\u00f6blingen, Germany"],"affiliations":[{"raw_affiliation_string":"Group Research and Advanced Engineering, Daimler Benz Aerospace, Boblingen, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Daimler AG Group Research & Advanced Engineering, B\u00f6blingen, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101717722","display_name":"Thao Dang","orcid":"https://orcid.org/0000-0002-7629-3853"},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thao Dang","raw_affiliation_strings":["Group Research and Advanced Engineering, Daimler Benz Aerospace, Boblingen, Germany","Daimler AG Group Research & Advanced Engineering, B\u00f6blingen, Germany"],"affiliations":[{"raw_affiliation_string":"Group Research and Advanced Engineering, Daimler Benz Aerospace, Boblingen, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Daimler AG Group Research & Advanced Engineering, B\u00f6blingen, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080798088","display_name":"Gabi Breuel","orcid":null},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gabi Breuel","raw_affiliation_strings":["Group Research and Advanced Engineering, Daimler Benz Aerospace, Boblingen, Germany","Daimler AG Group Research & Advanced Engineering, B\u00f6blingen, Germany"],"affiliations":[{"raw_affiliation_string":"Group Research and Advanced Engineering, Daimler Benz Aerospace, Boblingen, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Daimler AG Group Research & Advanced Engineering, B\u00f6blingen, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057181669","display_name":"Andreas Tamke","orcid":null},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Tamke","raw_affiliation_strings":["Group Research and Advanced Engineering, Daimler Benz Aerospace, Boblingen, Germany","Daimler AG Group Research & Advanced Engineering, B\u00f6blingen, Germany"],"affiliations":[{"raw_affiliation_string":"Group Research and Advanced Engineering, Daimler Benz Aerospace, Boblingen, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Daimler AG Group Research & Advanced Engineering, B\u00f6blingen, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087076980","display_name":"Wolfgang Rosenstiel","orcid":null},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Rosenstiel","raw_affiliation_strings":["Wilhelm-Schickard-Institut f\u00fcr Informatik, Eberhard Karls Universit\u00e4t T\u00fcbingen, Germany","Eberhard Karls Universit\u00e4t T\u00fcbingen, Wilhelm-Schickard-Institut f\u00fcr Informatik, Germany"],"affiliations":[{"raw_affiliation_string":"Wilhelm-Schickard-Institut f\u00fcr Informatik, Eberhard Karls Universit\u00e4t T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]},{"raw_affiliation_string":"Eberhard Karls Universit\u00e4t T\u00fcbingen, Wilhelm-Schickard-Institut f\u00fcr Informatik, Germany","institution_ids":["https://openalex.org/I8087733"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5028220623"],"corresponding_institution_ids":["https://openalex.org/I891521709"],"apc_list":null,"apc_paid":null,"fwci":7.6964,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.97171027,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"673","last_page":"678"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9994000196456909,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9994000196456909,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.96670001745224,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9578999876976013,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.7787843942642212},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.769331693649292},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7243551015853882},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6147136688232422},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5884196758270264},{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.5674350261688232},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5667155385017395},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5368941426277161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5080766677856445},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4970252811908722},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.493627667427063},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.45653045177459717},{"id":"https://openalex.org/keywords/occupancy-grid-mapping","display_name":"Occupancy grid mapping","score":0.41334670782089233},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.380047082901001},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.373595267534256},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36745312809944153},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35853904485702515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.22354090213775635},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1345701813697815}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7787843942642212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.769331693649292},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7243551015853882},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6147136688232422},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5884196758270264},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.5674350261688232},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5667155385017395},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5368941426277161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5080766677856445},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4970252811908722},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.493627667427063},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.45653045177459717},{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.41334670782089233},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.380047082901001},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.373595267534256},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36745312809944153},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35853904485702515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22354090213775635},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1345701813697815},{"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/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2011.5940468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2011.5940468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1518565144","https://openalex.org/W1593021443","https://openalex.org/W1600649880","https://openalex.org/W1601476331","https://openalex.org/W1755360231","https://openalex.org/W2096898469","https://openalex.org/W2102593338","https://openalex.org/W2107727954","https://openalex.org/W2108250446","https://openalex.org/W2117716621","https://openalex.org/W2137092258","https://openalex.org/W2154171591","https://openalex.org/W4299670631","https://openalex.org/W6635579717","https://openalex.org/W6636173639","https://openalex.org/W6676358908"],"related_works":["https://openalex.org/W4282043467","https://openalex.org/W2105697914","https://openalex.org/W2162255319","https://openalex.org/W3033776171","https://openalex.org/W1999050017","https://openalex.org/W5037887","https://openalex.org/W4229444815","https://openalex.org/W4293877624","https://openalex.org/W1923024567","https://openalex.org/W2063933439"],"abstract_inverted_index":{"In":[0],"this":[1,102],"paper":[2],"we":[3,105],"introduce":[4],"a":[5,69,110],"novel":[6],"approach":[7,36],"towards":[8],"the":[9,23,38,62,76,97],"recognition":[10],"of":[11,22,26,40,61,78,96,112],"typical":[12],"driving":[13,99,114],"maneuvers":[14,115],"in":[15,68,93],"structured":[16],"highway":[17],"scenarios":[18],"and":[19,65,72,86,118],"identify":[20],"some":[21],"key":[24],"benefits":[25],"traffic":[27,70,80],"scene":[28,71],"modeling":[29],"with":[30,47],"object-oriented":[31],"Bayesian":[32],"networks":[33],"(OOBNs).":[34],"The":[35],"exploits":[37],"advantages":[39],"an":[41,58],"introduced":[42],"lane-related":[43],"coordinate":[44],"system":[45],"together":[46],"individual":[48],"occupancy":[49],"grids":[50],"for":[51,57],"all":[52],"vehicles.":[53],"This":[54],"combination":[55],"allows":[56],"efficient":[59],"classification":[60],"existing":[63],"vehiclelane":[64],"vehicle-vehicle":[66],"relations":[67],"thus":[73],"substantially":[74],"improves":[75],"understanding":[77],"complex":[79],"scenes.":[81],"We":[82],"systematically":[83],"propagate":[84],"probabilities":[85],"variances":[87],"within":[88],"our":[89],"network":[90],"which":[91],"results":[92],"probabilistic":[94],"sets":[95],"modeled":[98],"maneuvers.":[100],"Using":[101],"generic":[103],"approach,":[104],"are":[106],"able":[107],"to":[108],"classify":[109],"total":[111],"27":[113],"including":[116],"merging":[117],"object":[119],"following.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
