{"id":"https://openalex.org/W4372271741","doi":"https://doi.org/10.1145/3583120.3589836","title":"Poster Abstract: Multi-sensor Fusion for In-cabin Vehicular Sensing Applications","display_name":"Poster Abstract: Multi-sensor Fusion for In-cabin Vehicular Sensing Applications","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372271741","doi":"https://doi.org/10.1145/3583120.3589836"},"language":"en","primary_location":{"id":"doi:10.1145/3583120.3589836","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583120.3589836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 22nd International Conference on Information Processing in Sensor Networks","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/A5101522431","display_name":"Tong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tong Wu","raw_affiliation_strings":["Rutgers University, United States of America"],"affiliations":[{"raw_affiliation_string":"Rutgers University, United States of America","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011335385","display_name":"Navid Salami Pargoo","orcid":"https://orcid.org/0000-0002-7295-5813"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Navid Salami Pargoo","raw_affiliation_strings":["Rutgers University, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035267416","display_name":"Jorge Ortiz","orcid":"https://orcid.org/0000-0003-3325-1298"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jorge Ortiz","raw_affiliation_strings":["Rutgers University, United States of America"],"affiliations":[{"raw_affiliation_string":"Rutgers University, United States of America","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101522431"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06084721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"332","last_page":"333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9987999796867371,"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/T10370","display_name":"Traffic and Road Safety","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computer-science","display_name":"Computer science","score":0.7539805769920349},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.752990186214447},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6105378270149231},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.42999589443206787},{"id":"https://openalex.org/keywords/human-in-the-loop","display_name":"Human-in-the-loop","score":0.4102481007575989},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3818296492099762},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34746015071868896},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.33973371982574463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20360654592514038},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1786021888256073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7539805769920349},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.752990186214447},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6105378270149231},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.42999589443206787},{"id":"https://openalex.org/C2780626000","wikidata":"https://www.wikidata.org/wiki/Q5936775","display_name":"Human-in-the-loop","level":2,"score":0.4102481007575989},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3818296492099762},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34746015071868896},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.33973371982574463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20360654592514038},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1786021888256073},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583120.3589836","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583120.3589836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 22nd International Conference on Information Processing in Sensor Networks","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":4,"referenced_works":["https://openalex.org/W2942501971","https://openalex.org/W3124962352","https://openalex.org/W3199763368","https://openalex.org/W4286285646"],"related_works":["https://openalex.org/W2185469136","https://openalex.org/W4288099294","https://openalex.org/W4306353150","https://openalex.org/W2026860389","https://openalex.org/W2168054807","https://openalex.org/W3207883763","https://openalex.org/W4386977688","https://openalex.org/W2383394264","https://openalex.org/W3216879894","https://openalex.org/W2890132085"],"abstract_inverted_index":{"Cyber-physical-human":[0],"systems":[1],"(CPHS)":[2],"in":[3,36,78],"AI-based":[4],"driver":[5,87],"assistance":[6],"applications":[7],"require":[8],"the":[9,24,29,33,39,95],"integration":[10],"of":[11,32,41],"data":[12,96],"from":[13,98],"diverse":[14],"modalities.":[15],"These":[16],"in-cabin":[17,56],"CPHSs":[18,37],"offer":[19],"rich":[20],"sensing":[21,58],"capabilities,":[22],"encompassing":[23],"vehicle,":[25],"its":[26],"surroundings,":[27],"and":[28,73],"driver.":[30],"One":[31],"primary":[34],"challenges":[35],"is":[38],"incorporation":[40],"human":[42,50],"behavior":[43],"modeling":[44],"to":[45,71],"steer":[46],"interactions":[47],"that":[48,60,85],"bolster":[49],"performance.":[51],"This":[52],"study":[53],"introduces":[54],"an":[55],"vehicular":[57],"framework":[59],"merges":[61],"a":[62,66,86],"driving":[63,80],"simulator":[64],"with":[65],"CPHS,":[67],"thereby":[68],"enabling":[69],"researchers":[70],"devise":[72],"test":[74],"multi-sensor":[75],"fusion":[76],"methodologies":[77],"human-in-the-loop":[79],"situations.":[81],"Initial":[82],"experiments":[83],"reveal":[84],"interruptibility":[88],"model":[89],"can":[90],"be":[91],"effectively":[92],"trained":[93],"using":[94],"gathered":[97],"our":[99],"system.":[100]},"counts_by_year":[],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
