{"id":"https://openalex.org/W4391769568","doi":"https://doi.org/10.1109/itsc57777.2023.10422283","title":"Analysis Over Vision-Based Models for Pedestrian Action Anticipation","display_name":"Analysis Over Vision-Based Models for Pedestrian Action Anticipation","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4391769568","doi":"https://doi.org/10.1109/itsc57777.2023.10422283"},"language":"en","primary_location":{"id":"doi:10.1109/itsc57777.2023.10422283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10422283","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/A5072621399","display_name":"Lina Achaji","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lina Achaji","raw_affiliation_strings":["Stellantis,France","Stellantis, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stellantis,France","institution_ids":[]},{"raw_affiliation_string":"Stellantis, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081606712","display_name":"Julien Moreau","orcid":"https://orcid.org/0000-0003-0183-1730"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Julien Moreau","raw_affiliation_strings":["Stellantis,France","Stellantis, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stellantis,France","institution_ids":[]},{"raw_affiliation_string":"Stellantis, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113835152","display_name":"Fran\u00e7ois Aioun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fran\u00e7ois Aioun","raw_affiliation_strings":["Stellantis,France","Stellantis, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stellantis,France","institution_ids":[]},{"raw_affiliation_string":"Stellantis, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051052976","display_name":"Fran\u00e7ois Charpillet","orcid":"https://orcid.org/0000-0001-8260-1536"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fran\u00e7ois Charpillet","raw_affiliation_strings":["Universit&#x00E9; de Lorraine, CNRS, Inria, LORIA,Nancy,France,54000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Lorraine, CNRS, Inria, LORIA,Nancy,France,54000","institution_ids":["https://openalex.org/I4210121838","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3368,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6098972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5846","last_page":"5851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.942300021648407,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.942300021648407,"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":0.8175517320632935},{"id":"https://openalex.org/keywords/anticipation","display_name":"Anticipation (artificial intelligence)","score":0.8033153414726257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6041994094848633},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5777815580368042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5326404571533203},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5319659113883972},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14770638942718506},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1392384171485901},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09528103470802307}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.8175517320632935},{"id":"https://openalex.org/C176777502","wikidata":"https://www.wikidata.org/wiki/Q4774623","display_name":"Anticipation (artificial intelligence)","level":2,"score":0.8033153414726257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6041994094848633},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5777815580368042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5326404571533203},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5319659113883972},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14770638942718506},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1392384171485901},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09528103470802307},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc57777.2023.10422283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10422283","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":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2616247523","https://openalex.org/W2619947201","https://openalex.org/W2963524571","https://openalex.org/W3035422918","https://openalex.org/W3094502228","https://openalex.org/W3112516115","https://openalex.org/W3119170582","https://openalex.org/W3186437900","https://openalex.org/W3195951281","https://openalex.org/W4214612132","https://openalex.org/W4234552385","https://openalex.org/W4246193833","https://openalex.org/W4287778673","https://openalex.org/W4301409532","https://openalex.org/W4318963850","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2952741422","https://openalex.org/W3033133102","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2321705977","https://openalex.org/W2229312674"],"abstract_inverted_index":{"Anticipating":[0],"human":[1],"actions":[2],"in":[3,104,126,136],"front":[4],"of":[5,40,72,90,100,107,134],"autonomous":[6],"vehicles":[7],"is":[8,75],"a":[9,64],"challenging":[10],"task.":[11],"Several":[12],"papers":[13],"have":[14],"recently":[15],"proposed":[16],"model":[17,52,117],"architectures":[18,53],"to":[19,28,61,77,83],"address":[20],"this":[21,73],"problem":[22],"by":[23],"combining":[24],"multiple":[25],"input":[26,46],"features":[27],"predict":[29],"pedestrian":[30,67,108,139],"crossing":[31],"actions.":[32],"This":[33],"paper":[34,74],"focuses":[35],"specifically":[36],"on":[37,97],"using":[38],"images":[39],"the":[41,70,85,98,105,116,132],"pedestrian's":[42],"context":[43,106],"as":[44,63],"an":[45],"feature.":[47],"We":[48,111],"present":[49],"several":[50],"spatio-temporal":[51],"that":[54],"utilize":[55],"standard":[56],"CNN":[57],"and":[58,87],"Transformer":[59,102],"modules":[60],"serve":[62],"backbone":[65],"for":[66,138],"anticipation.":[68],"However,":[69],"objective":[71],"not":[76],"surpass":[78],"state-of-the-art":[79],"benchmarks":[80],"but":[81,123],"rather":[82],"analyze":[84],"positive":[86],"negative":[88],"predictions":[89],"these":[91],"models.":[92],"Therefore,":[93],"we":[94],"provide":[95],"insights":[96],"explainability":[99,137],"vision-based":[101],"models":[103],"action":[109,140],"prediction.":[110],"will":[112],"highlight":[113],"cases":[114],"where":[115],"can":[118],"achieve":[119],"correct":[120],"quantitative":[121],"results":[122],"falls":[124],"short":[125],"providing":[127],"human-like":[128],"explanations":[129],"qualitatively,":[130],"emphasizing":[131],"importance":[133],"investing":[135],"anticipation":[141],"problems.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
