{"id":"https://openalex.org/W4400646543","doi":"https://doi.org/10.1109/iv55156.2024.10588778","title":"Enhanced Model-Free Predictor for Latency Compensation in Remote Driving Systems","display_name":"Enhanced Model-Free Predictor for Latency Compensation in Remote Driving Systems","publication_year":2024,"publication_date":"2024-06-02","ids":{"openalex":"https://openalex.org/W4400646543","doi":"https://doi.org/10.1109/iv55156.2024.10588778"},"language":"en","primary_location":{"id":"doi:10.1109/iv55156.2024.10588778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","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/A5064240573","display_name":"Lin Zhao","orcid":"https://orcid.org/0000-0002-1078-887X"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Lin Zhao","raw_affiliation_strings":["KTH Royal Institute of Technology,Department of Engineering Mechanics,Stockholm,Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,Department of Engineering Mechanics,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090963161","display_name":"Mikael Nybacka","orcid":"https://orcid.org/0000-0002-2265-9004"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mikael Nybacka","raw_affiliation_strings":["KTH Royal Institute of Technology,Department of Engineering Mechanics,Stockholm,Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,Department of Engineering Mechanics,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071180705","display_name":"Malte Rothh\u00e4mel","orcid":"https://orcid.org/0000-0002-2480-5554"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Malte Rothh\u00e4mel","raw_affiliation_strings":["KTH Royal Institute of Technology,Division of Decision and Control Systems,Stockholm,Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,Division of Decision and Control Systems,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038529941","display_name":"Jonas M\u00e5rtensson","orcid":"https://orcid.org/0000-0002-8160-4484"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jonas M\u00e5rtensson","raw_affiliation_strings":["KTH Royal Institute of Technology,School of Electrical Engineering and Computer Science,Stockholm,Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,School of Electrical Engineering and Computer Science,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064240573"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":1.3978,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81010214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"51","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12941","display_name":"Embedded Systems and FPGA Design","score":0.7962999939918518,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12941","display_name":"Embedded Systems and FPGA Design","score":0.7962999939918518,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14474","display_name":"Industrial Technology and Control Systems","score":0.7806000113487244,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13717","display_name":"Advanced Algorithms and Applications","score":0.7706999778747559,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/latency","display_name":"Latency (audio)","score":0.66322261095047},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6033116579055786},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.5675850510597229},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18365153670310974},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08292871713638306}],"concepts":[{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.66322261095047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6033116579055786},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.5675850510597229},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18365153670310974},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08292871713638306},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55156.2024.10588778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316851","display_name":"KT","ror":"https://ror.org/043n4tt17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1500344023","https://openalex.org/W2790320666","https://openalex.org/W2887301742","https://openalex.org/W2969359392","https://openalex.org/W3195682989","https://openalex.org/W3215083247","https://openalex.org/W4226402915","https://openalex.org/W4290670336","https://openalex.org/W4313039600","https://openalex.org/W4390017907","https://openalex.org/W4391216314","https://openalex.org/W4391559324","https://openalex.org/W6645209884"],"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":{"Remote":[0],"driving":[1,47,58,191],"plays":[2],"a":[3,63],"vital":[4],"role":[5],"in":[6,10,21,34,73,151,179,189,195,204],"coordinating":[7],"automated":[8],"vehicles":[9,192],"challenging":[11],"situations.":[12],"Data":[13],"transmission":[14],"latency,":[15],"however,":[16],"can":[17,26,165],"cause":[18],"several":[19],"problems":[20],"remote":[22,44,74,190],"driving.":[23,75],"Firstly,":[24],"it":[25,129],"degrade":[27],"the":[28,43,71,85,101,106,115,118,123,132,139,162,177],"performance":[29],"of":[30,84,91,108,117,138,184],"remote-controlled":[31],"vehicles,":[32],"evident":[33],"issues":[35],"like":[36],"lane-following":[37],"deviation":[38],"and":[39,87,127,156],"vehicle":[40,53],"stability.":[41],"Additionally,":[42],"control":[45],"tower\u2019s":[46],"feedback":[48],"is":[49,66,142],"affected":[50],"by":[51,104,169],"delayed":[52,57],"signals,":[54],"leading":[55],"to":[56,68,94,121,130,173],"experience.":[59],"To":[60],"address":[61,131],"this,":[62],"model-free-based":[64],"predictor":[65],"employed":[67],"compensate":[69],"for":[70],"delay":[72],"This":[76,98],"approach":[77],"does":[78],"not":[79,186],"require":[80],"any":[81],"dynamic":[82],"model":[83],"system":[86],"only":[88,187],"needs":[89],"tuning":[90],"two":[92,152],"parameters":[93],"reduce":[95,166],"communication":[96],"delay.":[97],"study":[99,181],"enhances":[100],"previous":[102,174],"work":[103],"mitigating":[105],"amplitude":[107],"overshoot":[109,134],"around":[110],"peak":[111,125],"points.":[112],"It":[113],"leverages":[114],"principle":[116],"second-order":[119],"derivative":[120],"predict":[122],"signal\u2019s":[124],"time":[126],"uses":[128],"predictor\u2019s":[133],"issue.":[135],"The":[136],"effectiveness":[137],"proposed":[140,163],"method":[141,164],"validated":[143],"using":[144],"real":[145],"car":[146],"data":[147],"from":[148],"multiple":[149],"participants":[150],"scenarios,":[153],"including":[154],"Slalom":[155],"lane-following.":[157],"Simulation":[158],"results":[159],"indicate":[160],"that":[161],"prediction":[167],"error":[168],"nearly":[170],"25%":[171],"compared":[172],"works.":[175],"Moreover,":[176],"solutions":[178],"this":[180],"are":[182],"capable":[183],"managing":[185],"delays":[188,203],"but":[193],"also":[194],"traditional":[196],"mechanical":[197],"systems,":[198],"such":[199],"as":[200],"CAN":[201],"bus":[202],"conventional":[205],"cars.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
