{"id":"https://openalex.org/W2503238138","doi":"https://doi.org/10.1109/ivs.2016.7535533","title":"Probabilistic situation assessment framework for multiple, interacting traffic participants in generic traffic scenes","display_name":"Probabilistic situation assessment framework for multiple, interacting traffic participants in generic traffic scenes","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2503238138","doi":"https://doi.org/10.1109/ivs.2016.7535533","mag":"2503238138"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2016.7535533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5081535174","display_name":"Stefan Klingelschmitt","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Stefan Klingelschmitt","raw_affiliation_strings":["Control Methods and Robotics Lab, Technical University of Darmstadt, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Control Methods and Robotics Lab, Technical University of Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032755561","display_name":"Florian Damerow","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Damerow","raw_affiliation_strings":["Control Methods and Robotics Lab, Technical University of Darmstadt, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Control Methods and Robotics Lab, Technical University of Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001777411","display_name":"Volker Willert","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Volker Willert","raw_affiliation_strings":["Control Methods and Robotics Lab, Technical University of Darmstadt, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Control Methods and Robotics Lab, Technical University of Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039532032","display_name":"Julian Eggert","orcid":"https://orcid.org/0000-0003-4437-6133"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Julian Eggert","raw_affiliation_strings":["Honda Research Institute Europe GmbH, Offenbach am Main, Germany"],"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe GmbH, Offenbach am Main, Germany","institution_ids":["https://openalex.org/I4210112253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081535174"],"corresponding_institution_ids":["https://openalex.org/I31512782"],"apc_list":null,"apc_paid":null,"fwci":2.88581394,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.92122458,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1141","last_page":"1148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9983999729156494,"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":0.9983999729156494,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9919999837875366,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9850999712944031,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.814223051071167},{"id":"https://openalex.org/keywords/interdependence","display_name":"Interdependence","score":0.7854294776916504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7525109052658081},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5846454501152039},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5825550556182861},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.567436695098877},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.5347316265106201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4957474172115326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4849450886249542},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.363735169172287},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08984756469726562}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.814223051071167},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.7854294776916504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7525109052658081},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5846454501152039},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5825550556182861},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.567436695098877},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.5347316265106201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4957474172115326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4849450886249542},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.363735169172287},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08984756469726562},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2016.7535533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1481224392","https://openalex.org/W1486382483","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1915591335","https://openalex.org/W1938434359","https://openalex.org/W1958075888","https://openalex.org/W1986388946","https://openalex.org/W1992884181","https://openalex.org/W2007354440","https://openalex.org/W2058570191","https://openalex.org/W2069230091","https://openalex.org/W2095932903","https://openalex.org/W2098824882","https://openalex.org/W2105242877","https://openalex.org/W2128060716","https://openalex.org/W2133133694","https://openalex.org/W2134239466","https://openalex.org/W2138997468","https://openalex.org/W2151992080","https://openalex.org/W2158533495","https://openalex.org/W2166813035","https://openalex.org/W2167293612","https://openalex.org/W2195589938","https://openalex.org/W6687267689"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W2139079562","https://openalex.org/W4248336175","https://openalex.org/W2749324135","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890"],"abstract_inverted_index":{"Situation":[0],"recognition":[1,22,63,148],"is":[2,41,69,90,125],"a":[3,76,94,115],"prerequisite":[4],"for":[5,14,79],"many":[6],"advanced":[7],"driver":[8],"assistance":[9],"systems":[10,64],"as":[11,13],"well":[12],"partially":[15],"and":[16,47,55,110],"fully":[17,95],"automated":[18],"vehicles.":[19],"Current":[20],"situation":[21,62,98],"approaches":[23],"focus":[24],"mainly":[25],"on":[26,102,114],"estimating":[27],"maneuvers":[28],"of":[29,57,145],"single":[30],"scene":[31],"entities.":[32],"However,":[33],"assessing":[34,80],"multiple,":[35],"possibly":[36],"interacting,":[37],"traffic":[38,45,82,87],"participants":[39],"simultaneously":[40],"crucial":[42],"in":[43],"complex":[44],"scenes":[46,83],"has":[48],"hardly":[49],"been":[50],"investigated.":[51],"Considering":[52],"the":[53,123,142,146],"variability":[54],"combinatorics":[56],"such":[58],"scenarios,":[59],"having":[60],"specialized":[61],"covering":[65],"each":[66],"case":[67],"directly":[68],"unrealistic.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74],"present":[75],"flexible":[77],"framework":[78],"generic":[81],"with":[84],"multiple":[85],"interacting":[86],"participants.":[88],"It":[89],"able":[91,128],"to":[92,129,141],"construct":[93],"interaction-respecting":[96],"probabilistic":[97],"assessment,":[99],"while":[100],"relying":[101],"reusable":[103],"state-of-the-art":[104],"single-entity-based":[105,147],"maneuver":[106],"predictions.":[107],"The":[108,119],"benefits":[109],"applicability":[111],"are":[112],"presented":[113],"real-world":[116],"data":[117],"set.":[118],"evaluation":[120],"indicates":[121],"that":[122],"approach":[124],"not":[126],"only":[127],"reconstruct":[130],"underlying":[131],"interdependent":[132],"probability":[133],"distributions;":[134],"it":[135],"outperforms":[136],"specially":[137],"designed":[138],"models,":[139],"due":[140],"reduced":[143],"complexities":[144],"models.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
