{"id":"https://openalex.org/W2740184679","doi":"https://doi.org/10.1109/ivs.2017.7995760","title":"GNSS-shortages-resistant and self-adaptive rear axle kinematic parameter estimator (SA-RAKPE)","display_name":"GNSS-shortages-resistant and self-adaptive rear axle kinematic parameter estimator (SA-RAKPE)","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2740184679","doi":"https://doi.org/10.1109/ivs.2017.7995760","mag":"2740184679"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2017.7995760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2017.7995760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5068740407","display_name":"Alexander Brunker","orcid":"https://orcid.org/0000-0003-2175-6395"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]},{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Alexander Brunker","raw_affiliation_strings":["Department of Parking Systems, Daimler AG, Sindelfingen, Germany","Institute of Vehicle System Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Parking Systems, Daimler AG, Sindelfingen, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Institute of Vehicle System Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020053279","display_name":"Thomas Wohlgemuth","orcid":"https://orcid.org/0000-0002-4623-0894"},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Wohlgemuth","raw_affiliation_strings":["Department of Parking Systems, Daimler AG, Sindelfingen, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Parking Systems, Daimler AG, Sindelfingen, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052936510","display_name":"Michael Frey","orcid":"https://orcid.org/0000-0003-1452-1360"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Frey","raw_affiliation_strings":["Institute of Vehicle System Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Vehicle System Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085807914","display_name":"Frank Gauterin","orcid":"https://orcid.org/0000-0002-0870-7540"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank Gauterin","raw_affiliation_strings":["Institute of Vehicle System Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Vehicle System Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068740407"],"corresponding_institution_ids":["https://openalex.org/I102335020","https://openalex.org/I891521709"],"apc_list":null,"apc_paid":null,"fwci":5.4438,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.95111115,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"456","last_page":"461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10655","display_name":"GNSS positioning and interference","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/gnss-applications","display_name":"GNSS applications","score":0.8652557134628296},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.6247217655181885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.61958909034729},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5805519819259644},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5581912994384766},{"id":"https://openalex.org/keywords/satellite-system","display_name":"Satellite system","score":0.5200290679931641},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5122625231742859},{"id":"https://openalex.org/keywords/odometry","display_name":"Odometry","score":0.4822990894317627},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43993768095970154},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.43169158697128296},{"id":"https://openalex.org/keywords/real-time-kinematic","display_name":"Real Time Kinematic","score":0.4228241443634033},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32419654726982117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.268669068813324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17237594723701477},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.13499322533607483},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.12672573328018188},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09769386053085327},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08727225661277771}],"concepts":[{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.8652557134628296},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.6247217655181885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61958909034729},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5805519819259644},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5581912994384766},{"id":"https://openalex.org/C2778027091","wikidata":"https://www.wikidata.org/wiki/Q25346003","display_name":"Satellite system","level":4,"score":0.5200290679931641},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5122625231742859},{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.4822990894317627},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43993768095970154},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.43169158697128296},{"id":"https://openalex.org/C93103318","wikidata":"https://www.wikidata.org/wiki/Q980965","display_name":"Real Time Kinematic","level":4,"score":0.4228241443634033},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32419654726982117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.268669068813324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17237594723701477},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.13499322533607483},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.12672573328018188},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09769386053085327},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08727225661277771},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2017.7995760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2017.7995760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1520772724","https://openalex.org/W1749494163","https://openalex.org/W1916324727","https://openalex.org/W1964173900","https://openalex.org/W2040249933","https://openalex.org/W2128855472","https://openalex.org/W2150811685","https://openalex.org/W2344953603"],"related_works":["https://openalex.org/W1543145586","https://openalex.org/W2375040471","https://openalex.org/W2068158190","https://openalex.org/W2916802843","https://openalex.org/W2064660797","https://openalex.org/W1988145424","https://openalex.org/W20579766","https://openalex.org/W2601478304","https://openalex.org/W2063488330","https://openalex.org/W2071552392"],"abstract_inverted_index":{"This":[0,174,192],"paper":[1],"investigates":[2],"the":[3,48,65,73,93,108,127,132,149,156,158,161,164,169,172,180,198],"improvements":[4],"from":[5,142],"an":[6,24],"intelligent":[7,66],"self-adaptive":[8,67,82,195],"modification":[9],"to":[10,71,75,138,147,178],"a":[11,27,40,55,60,85,185,204,221],"Global":[12],"Navigatior":[13],"Satellite":[14],"System":[15],"(GNSS)-Based":[16],"Rear":[17],"Axle":[18],"Kinematic":[19],"Parametei":[20],"Estimator":[21],"(SA-RAKPE)":[22],"for":[23],"automatic-driving-system":[25],"in":[26,96,107,163,227],"passenger":[28],"vehicle.":[29],"The":[30,81,100,207],"required":[31],"highly":[32],"accurate":[33],"dead-reckoning":[34],"localization":[35],"can":[36],"be":[37],"achieved":[38],"by":[39,120],"well-calibrated":[41],"kinematic":[42],"odometry":[43],"model.":[44,63],"For":[45],"this":[46],"purpose,":[47],"presented":[49],"Extended":[50],"Kalman":[51],"filter":[52,159,196],"approach":[53],"combines":[54],"Differential-Velocity":[56],"system":[57,109,165],"model":[58,166],"and":[59,110,114,130,145,216,220],"GNSS":[61],"measurement":[62,111,137],"Subsequently":[64],"modifications":[68,83],"are":[69],"introduced":[70],"allow":[72],"SA-RAKPE":[74],"work":[76],"even":[77,115,146],"under":[78],"difficult":[79],"conditions":[80],"include":[84],"GNSS-Delay-Finder":[86],"Module":[87],"that":[88,210],"calculates":[89],"variable":[90],"delays":[91],"of":[92,151,171,188],"signals":[94],"used":[95],"complex":[97],"vehicle":[98],"architectures.":[99],"newly":[101,193],"developed":[102,194],"SA-RAPKE":[103],"deals":[104],"with":[105,134],"changes":[106,126],"mode":[112],"accuracies":[113],"works":[116],"during":[117],"interruptions":[118,133],"caused":[119],"GNSS-shortages.":[121],"To":[122],"do":[123],"this,":[124],"it":[125,176],"update":[128],"equation":[129],"fills":[131],"virtual":[135],"parameter":[136,181,201],"avoid":[139],"estimation":[140],"inaccuracies":[141],"observability":[143],"loss":[144],"store":[148],"level":[150],"learned":[152],"parameters.":[153],"After":[154],"passing":[155,184],"GNSS-shortages,":[157],"compensates":[160],"error":[162],"depending":[167],"on":[168],"length":[170],"GNSS-shortage":[173],"makes":[175],"possible":[177],"continue":[179],"learning":[182,223],"while":[183],"great":[186],"number":[187],"bad":[189],"condition":[190],"passages.":[191],"learns":[197],"true":[199],"axle":[200],"faster":[202],"than":[203],"restartable":[205],"filter.":[206],"results":[208],"show":[209],"despite":[211],"numerous":[212],"high-rise":[213],"zones,":[214],"tunnels":[215],"bridges,":[217],"outstanding":[218],"performance":[219],"short":[222],"phase":[224],"ensue,":[225],"especially":[226],"urban":[228],"areas.":[229]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
