{"id":"https://openalex.org/W4399801676","doi":"https://doi.org/10.1109/arso60199.2024.10557799","title":"Adaptive Resilient Control for Autonomous Vehicles Steering System against False Data Injection Attacks","display_name":"Adaptive Resilient Control for Autonomous Vehicles Steering System against False Data Injection Attacks","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4399801676","doi":"https://doi.org/10.1109/arso60199.2024.10557799"},"language":"en","primary_location":{"id":"doi:10.1109/arso60199.2024.10557799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/arso60199.2024.10557799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100316460","display_name":"Zhenyang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyang Li","raw_affiliation_strings":["Beijing Institute of Technology,National Engineering Research Center for Electric Vehicles,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,National Engineering Research Center for Electric Vehicles,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012596047","display_name":"Guoqiang Li","orcid":"https://orcid.org/0000-0002-2843-704X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Li","raw_affiliation_strings":["Beijing Institute of Technology,National Engineering Research Center for Electric Vehicles,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,National Engineering Research Center for Electric Vehicles,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100555562","display_name":"Yu Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Lu","raw_affiliation_strings":["Beijing Institute of Technology,National Engineering Research Center for Electric Vehicles,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,National Engineering Research Center for Electric Vehicles,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052233170","display_name":"Zhenpo Wang","orcid":"https://orcid.org/0000-0002-1396-906X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenpo Wang","raw_affiliation_strings":["Beijing Institute of Technology,National Engineering Research Center for Electric Vehicles,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,National Engineering Research Center for Electric Vehicles,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"235","last_page":"240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9936000108718872,"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":0.9936000108718872,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9853000044822693,"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/computer-science","display_name":"Computer science","score":0.6861153841018677},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.46358466148376465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1798645555973053}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6861153841018677},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.46358466148376465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1798645555973053}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/arso60199.2024.10557799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/arso60199.2024.10557799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null},{"id":"https://openalex.org/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1587253418","https://openalex.org/W2042795879","https://openalex.org/W2317934000","https://openalex.org/W2572224102","https://openalex.org/W2790176947","https://openalex.org/W2790349614","https://openalex.org/W2803275621","https://openalex.org/W2954115742","https://openalex.org/W2971232659","https://openalex.org/W2984053739","https://openalex.org/W3127292381","https://openalex.org/W3152836526","https://openalex.org/W3164205119","https://openalex.org/W3189031703","https://openalex.org/W4226081705","https://openalex.org/W4286285560","https://openalex.org/W4287172967","https://openalex.org/W4295832119","https://openalex.org/W4308178022","https://openalex.org/W4312683245","https://openalex.org/W4317620402","https://openalex.org/W4318604870","https://openalex.org/W4362714293","https://openalex.org/W4377009459","https://openalex.org/W4386066844"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Autonomous":[0],"vehicle":[1,82],"(AV)":[2],"whose":[3],"steering":[4,52],"system":[5],"is":[6,59,76,87,118],"subjected":[7],"to":[8,42,61,78,89,122,137],"false":[9],"data":[10],"injection":[11],"(FDI)":[12],"attacks":[13,48,96],"will":[14],"quickly":[15],"lose":[16],"stability":[17],"and":[18,97],"deviate":[19],"from":[20,94],"the":[21,44,50,63,81,99,103,115,135,139,142],"correct":[22],"trajectory.":[23],"This":[24],"paper":[25],"presents":[26],"an":[27],"adaptive":[28],"resilient":[29],"control":[30,40,67,125],"(ARC)":[31],"method":[32],"that":[33],"integrates":[34],"a":[35,55,71,109],"learning-based":[36],"stochastic":[37],"model":[38,58,117],"predictive":[39],"(SMPC)":[41],"mitigate":[43],"impact":[45],"of":[46,68,141],"FDI":[47,95],"on":[49],"AV":[51],"system.":[53],"First,":[54],"nominal":[56,104],"error":[57,105],"introduced":[60],"describe":[62],"lateral":[64],"tracking":[65],"trajectory":[66,127],"AV.":[69],"Second,":[70],"real-time":[72],"online":[73],"learning":[74],"strategy":[75],"devised":[77],"continuously":[79],"update":[80],"dynamics.":[83],"Gaussian":[84],"process":[85],"(GP)":[86],"utilized":[88],"detect":[90],"unmodeled":[91],"deviations":[92],"resulting":[93],"incorporate":[98],"training":[100],"outcomes":[101],"into":[102,120],"model,":[106],"thereby":[107],"obtaining":[108],"more":[110],"accurate":[111],"estimated":[112,116],"model.":[113],"Then,":[114],"integrated":[119],"SMPC":[121],"optimize":[123],"motion":[124],"for":[126],"tracking.":[128],"Finally,":[129],"simulation":[130],"tests":[131],"are":[132],"conducted":[133],"using":[134],"CarSim":[136],"confirm":[138],"effectiveness":[140],"proposed":[143],"method.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}