{"id":"https://openalex.org/W2563487472","doi":"https://doi.org/10.1109/itsc.2016.7795912","title":"Comparison and evaluation of pedestrian motion models for vehicle safety systems","display_name":"Comparison and evaluation of pedestrian motion models for vehicle safety systems","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2563487472","doi":"https://doi.org/10.1109/itsc.2016.7795912","mag":"2563487472"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2016.7795912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","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/A5062898907","display_name":"Nina Brouwer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156768","display_name":"BMW Group (Germany)","ror":"https://ror.org/044kkbh92","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210156768"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Nina Brouwer","raw_affiliation_strings":["BMW Group, Garching, Germany"],"affiliations":[{"raw_affiliation_string":"BMW Group, Garching, Germany","institution_ids":["https://openalex.org/I4210156768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066947774","display_name":"Horst Kloeden","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156768","display_name":"BMW Group (Germany)","ror":"https://ror.org/044kkbh92","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210156768"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Horst Kloeden","raw_affiliation_strings":["BMW Group, Garching, Germany"],"affiliations":[{"raw_affiliation_string":"BMW Group, Garching, Germany","institution_ids":["https://openalex.org/I4210156768"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091574711","display_name":"Christoph Stiller","orcid":"https://orcid.org/0000-0003-4165-2075"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Stiller","raw_affiliation_strings":["Department of Measurement and Control (MRT), Karlsruhe Institute of Technology (KIT), Germany"],"affiliations":[{"raw_affiliation_string":"Department of Measurement and Control (MRT), Karlsruhe Institute of Technology (KIT), Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062898907"],"corresponding_institution_ids":["https://openalex.org/I4210156768"],"apc_list":null,"apc_paid":null,"fwci":3.3131,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.91543432,"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":"2207","last_page":"2212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9987000226974487,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/pedestrian","display_name":"Pedestrian","score":0.9344783425331116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7520647048950195},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5921245217323303},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.5474477410316467},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5472327470779419},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.4792516231536865},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.46279454231262207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4415615499019623},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4313656985759735},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3988252878189087},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.37802737951278687},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32062870264053345},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15087109804153442},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1138874888420105},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.09832745790481567},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09276056289672852}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.9344783425331116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7520647048950195},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5921245217323303},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.5474477410316467},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5472327470779419},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.4792516231536865},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.46279454231262207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4415615499019623},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4313656985759735},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3988252878189087},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.37802737951278687},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32062870264053345},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15087109804153442},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1138874888420105},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.09832745790481567},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09276056289672852},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2016.7795912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6299999952316284,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1579387951","https://openalex.org/W1980985548","https://openalex.org/W1983498365","https://openalex.org/W1988520084","https://openalex.org/W1994702806","https://openalex.org/W2004641798","https://openalex.org/W2044271997","https://openalex.org/W2048960138","https://openalex.org/W2071152041","https://openalex.org/W2121511604","https://openalex.org/W2134574850","https://openalex.org/W2149689118","https://openalex.org/W2198335700","https://openalex.org/W2199968223","https://openalex.org/W4230321395","https://openalex.org/W4250134109","https://openalex.org/W4320854973","https://openalex.org/W6668571463","https://openalex.org/W6850105401"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4281783339","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W1964041166","https://openalex.org/W2972620127","https://openalex.org/W2981141433"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"the":[3,9,51,57,76,80,94,97,114,121,130],"influence":[4],"of":[5,11,20,44,79,96,133],"different":[6,70,117],"information":[7,26,55],"on":[8,62,69,120],"performance":[10,95,118],"pedestrian":[12,31,52,65],"motion":[13,32],"models":[14,98,115],"is":[15,85],"evaluated.":[16],"For":[17],"this,":[18,63],"besides":[19],"dynamic":[21],"and":[22,34,48,53,107],"physiological":[23],"constraints,":[24],"additional":[25],"as":[27,102],"head":[28],"orientation,":[29],"typical":[30],"behavior":[33],"environment":[35,54],"informations":[36],"are":[37,72],"used.":[38],"A":[39],"vehicle":[40],"sensor":[41],"system,":[42],"consisting":[43],"a":[45,88,125,138],"12Mpx":[46],"camera":[47],"Lidar":[49],"provides":[50],"in":[56],"considered":[58],"test":[59],"cases.":[60],"Based":[61],"four":[64],"models,":[66],"each":[67,134],"based":[68],"information,":[71],"used":[73],"to":[74,136],"predict":[75],"future":[77],"position":[78],"pedestrian.":[81],"The":[82,91],"predicted":[83],"area":[84],"presented":[86],"by":[87],"probability":[89,131],"grid.":[90],"results":[92],"show":[93],"for":[99],"evaluation":[100],"parameters":[101],"prediction":[103,122,140],"error,":[104],"standard":[105],"deviation":[106],"collision":[108],"probability.":[109],"Earlier":[110],"works":[111],"show,":[112],"that":[113],"have":[116],"depending":[119],"time.":[123],"So":[124],"new":[126],"introduced":[127],"system":[128],"fuses":[129],"map":[132],"model":[135],"achieve":[137],"continuous":[139],"performance.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}