{"id":"https://openalex.org/W4406266638","doi":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757677","title":"Robust Adaptive Modular Perception System (RAMPS): A Node-Based Processing Framework for Training and Testing Vehicle Perception Systems","display_name":"Robust Adaptive Modular Perception System (RAMPS): A Node-Based Processing Framework for Training and Testing Vehicle Perception Systems","publication_year":2024,"publication_date":"2024-10-07","ids":{"openalex":"https://openalex.org/W4406266638","doi":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757677"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2024-fall63153.2024.10757677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)","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/A5049875933","display_name":"Daniel Kent","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel Kent","raw_affiliation_strings":["Michigan State University,Electrical and Computer Engineering,East Lansing,Michigan"],"affiliations":[{"raw_affiliation_string":"Michigan State University,Electrical and Computer Engineering,East Lansing,Michigan","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dominic Mazza","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dominic Mazza","raw_affiliation_strings":["Michigan State University,Electrical and Computer Engineering,East Lansing,Michigan"],"affiliations":[{"raw_affiliation_string":"Michigan State University,Electrical and Computer Engineering,East Lansing,Michigan","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015107642","display_name":"Hayder Radha","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hayder Radha","raw_affiliation_strings":["Michigan State University,Electrical and Computer Engineering,East Lansing,Michigan"],"affiliations":[{"raw_affiliation_string":"Michigan State University,Electrical and Computer Engineering,East Lansing,Michigan","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049875933"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2270373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.6967999935150146,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.6967999935150146,"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/computer-science","display_name":"Computer science","score":0.7025415897369385},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6680141091346741},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6584848165512085},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.47342827916145325},{"id":"https://openalex.org/keywords/training-system","display_name":"Training system","score":0.451634019613266},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.34485337138175964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32053399085998535},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14975294470787048},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13507413864135742},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12464195489883423},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.057874709367752075}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7025415897369385},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6680141091346741},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6584848165512085},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.47342827916145325},{"id":"https://openalex.org/C2776857766","wikidata":"https://www.wikidata.org/wiki/Q7832987","display_name":"Training system","level":2,"score":0.451634019613266},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.34485337138175964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32053399085998535},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14975294470787048},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13507413864135742},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12464195489883423},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.057874709367752075},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2024-fall63153.2024.10757677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2378076731","https://openalex.org/W4286888643","https://openalex.org/W3210795196","https://openalex.org/W2088988140","https://openalex.org/W3171015545","https://openalex.org/W2103019253","https://openalex.org/W2951529875","https://openalex.org/W2391453316","https://openalex.org/W4396648495","https://openalex.org/W2318442111"],"abstract_inverted_index":{"Neural":[0],"network-based":[1,33],"algorithms":[2,34,119],"have":[3,124],"advanced":[4],"the":[5,98,107,163,167,170],"state-of-the-art":[6,149],"in":[7,76,112,162],"many":[8],"perception-related":[9],"tasks":[10],"such":[11],"as":[12,158],"detection,":[13],"tracking,":[14],"and":[15,25,47,50,72,91,120,129,135,144,147,174],"prediction,":[16],"which":[17],"are":[18],"critically":[19],"important":[20],"for":[21,62,67,89,166],"autonomous":[22,171],"vehicles,":[23],"ADAS,":[24,173],"other":[26,73],"related":[27],"technologies.":[28],"However,":[29],"integrating":[30,68],"disparate":[31],"neural":[32],"together":[35],"can":[36],"be":[37],"challenging":[38],"due":[39],"to":[40,154],"varying":[41],"system-level":[42],"requirements,":[43],"non-standard":[44],"network":[45,52],"input":[46],"output":[48],"formats,":[49],"custom":[51],"features.":[53],"In":[54],"this":[55,102],"paper,":[56],"we":[57,105,110,123],"introduce":[58],"RAMPS,":[59,128],"a":[60,64,77,85,114],"framework":[61,87,142,157],"developing":[63,113],"node-based":[65],"system":[66,83],"datasets,":[69],"perception":[70,93,150],"algorithms,":[71],"processing":[74],"modules":[75],"single":[78],"cohesive":[79],"graph-based":[80],"system.":[81],"This":[82],"represents":[84],"novel":[86],"architecture":[88],"constructing":[90],"evaluating":[92],"pipelines.":[94],"We":[95,152],"first":[96],"outline":[97,118],"design":[99,108],"philosophy":[100],"of":[101,169],"system,":[103],"then":[104,117],"explain":[106],"decisions":[109],"made":[111],"functioning":[115],"prototype,":[116],"functions":[121],"that":[122,137],"already":[125],"integrated":[126],"into":[127],"lastly":[130],"demonstrate":[131],"some":[132],"practical":[133],"examples":[134],"benchmarks":[136],"show":[138],"how":[139],"our":[140,156],"proposed":[141],"operates":[143],"benefits":[145],"current":[146],"future":[148,165],"systems.":[151],"intend":[153],"release":[155],"open":[159],"source":[160],"software":[161],"near":[164],"benefit":[168],"vehicle,":[172],"overall":[175],"computer":[176],"vision":[177],"communities.":[178]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
