{"id":"https://openalex.org/W4391770489","doi":"https://doi.org/10.1109/itsc57777.2023.10422032","title":"Pedestrian Environment Model for Automated Driving","display_name":"Pedestrian Environment Model for Automated Driving","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4391770489","doi":"https://doi.org/10.1109/itsc57777.2023.10422032"},"language":"en","primary_location":{"id":"doi:10.1109/itsc57777.2023.10422032","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/itsc57777.2023.10422032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th 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/A5058965332","display_name":"Adrian Holzbock","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":"Adrian Holzbock","raw_affiliation_strings":["Institute of Measurement, Control and Microtechnology, Ulm University,Ulm,Germany,89081"],"affiliations":[{"raw_affiliation_string":"Institute of Measurement, Control and Microtechnology, Ulm University,Ulm,Germany,89081","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027016546","display_name":"Alexander Tsaregorodtsev","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":false,"raw_author_name":"Alexander Tsaregorodtsev","raw_affiliation_strings":["Institute of Measurement, Control and Microtechnology, Ulm University,Ulm,Germany,89081"],"affiliations":[{"raw_affiliation_string":"Institute of Measurement, Control and Microtechnology, Ulm University,Ulm,Germany,89081","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027065196","display_name":"Vasileios Belagiannis","orcid":"https://orcid.org/0000-0003-0960-8453"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vasileios Belagiannis","raw_affiliation_strings":["Friedrich-Alexander-Universität Erlangen-Nürnberg,Chair of Multimedia Communications and Signal Processing,Erlangen,Germany,91058"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universität Erlangen-Nürnberg,Chair of Multimedia Communications and Signal Processing,Erlangen,Germany,91058","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058965332"],"corresponding_institution_ids":["https://openalex.org/I196349391"],"apc_list":null,"apc_paid":null,"fwci":0.115,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45710998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"32","issue":null,"first_page":"534","last_page":"540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.8963000178337097,"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":0.8963000178337097,"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/pedestrian","display_name":"Pedestrian","score":0.8084708452224731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5926705002784729},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3590456247329712},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23065343499183655}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.8084708452224731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5926705002784729},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3590456247329712},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23065343499183655}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc57777.2023.10422032","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/itsc57777.2023.10422032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1531532259","https://openalex.org/W1861492603","https://openalex.org/W1999050017","https://openalex.org/W2085612090","https://openalex.org/W2105934661","https://openalex.org/W2222512263","https://openalex.org/W2252355370","https://openalex.org/W2336416123","https://openalex.org/W2603203130","https://openalex.org/W2916798096","https://openalex.org/W2962766617","https://openalex.org/W2969348942","https://openalex.org/W3008115128","https://openalex.org/W3035574168","https://openalex.org/W3104218139","https://openalex.org/W3113216216","https://openalex.org/W3118212025","https://openalex.org/W3119686997","https://openalex.org/W3130641941","https://openalex.org/W3131452527","https://openalex.org/W3206199195","https://openalex.org/W3207227729","https://openalex.org/W4221155848","https://openalex.org/W4285601889","https://openalex.org/W4285813092","https://openalex.org/W4286285614","https://openalex.org/W4295312788","https://openalex.org/W4308079957","https://openalex.org/W4312632164","https://openalex.org/W4312707458","https://openalex.org/W6745935785","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W566791342","https://openalex.org/W3136214354","https://openalex.org/W3172487415","https://openalex.org/W608736979","https://openalex.org/W631954924","https://openalex.org/W2148933895"],"abstract_inverted_index":{"Besides":[0],"interacting":[1],"correctly":[2],"with":[3,107,122,153,166],"other":[4],"vehicles,":[5,34],"automated":[6,33],"vehicles":[7],"should":[8],"also":[9],"be":[10,38],"able":[11,39],"to":[12,18,40,56,97],"react":[13],"in":[14,151],"a":[15,27,87,108,123,177],"safe":[16,28],"manner":[17],"vulnerable":[19],"road":[20],"users":[21],"like":[22,52],"pedestrians":[23,31,75],"or":[24],"cyclists.":[25],"For":[26],"interaction":[29],"between":[30],"and":[32,90,132,170],"the":[35,42,58,71,74,91,104,115,120,129,138,142,146,154,167,171],"vehicle":[36,155],"must":[37],"interpret":[41],"pedestrian's":[43,59],"behavior.":[44],"Common":[45],"environment":[46,67,100,161],"models":[47],"do":[48],"not":[49],"contain":[50],"information":[51,106,140],"body":[53],"poses":[54],"used":[55],"understand":[57],"intent.":[60],"In":[61],"this":[62],"work,":[63],"we":[64,118,144,175],"propose":[65],"an":[66,133],"model":[68,162],"that":[69],"includes":[70],"position":[72,179],"of":[73,141,181],"as":[76,78,95],"well":[77],"their":[79],"pose":[80,112],"information.":[81],"We":[82,102,157],"only":[83],"use":[84],"images":[85],"from":[86,114,148],"monocular":[88],"camera":[89],"vehicle's":[92],"localization":[93],"data":[94,147,164],"input":[96],"our":[98,159],"pedestrian":[99,160],"model.":[101],"extract":[103],"skeletal":[105],"neural":[109],"network":[110],"human":[111],"estimator":[113],"image.":[116],"Furthermore,":[117],"track":[119],"skeletons":[121],"simple":[124],"tracking":[125],"algorithm":[126,131],"based":[127],"on":[128,163,184],"Hungarian":[130],"ego-motion":[134],"compensation.":[135],"To":[136],"obtain":[137],"3D":[139],"position,":[143],"aggregate":[145],"consecutive":[149],"frames":[150],"conjunction":[152],"position.":[156],"demonstrate":[158],"generated":[165],"CARLA":[168],"simulator":[169],"nuScenes":[172],"dataset.":[173],"Overall,":[174],"reach":[176],"relative":[178],"error":[180],"around":[182],"16%":[183],"both":[185],"datasets.":[186]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}