{"id":"https://openalex.org/W2884869516","doi":"https://doi.org/10.1109/ivs.2018.8500560","title":"Self-Validation for Automotive Visual Odometry","display_name":"Self-Validation for Automotive Visual Odometry","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2884869516","doi":"https://doi.org/10.1109/ivs.2018.8500560","mag":"2884869516"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2018.8500560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2018.8500560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5102277941","display_name":"Martin Buczko","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Buczko","raw_affiliation_strings":["Control Methods & Robotics Lab, TU Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control Methods & Robotics Lab, TU Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001777411","display_name":"Volker Willert","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Volker Willert","raw_affiliation_strings":["Control Methods & Robotics Lab, TU Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control Methods & Robotics Lab, TU Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084447591","display_name":"Julian Schwehr","orcid":"https://orcid.org/0000-0001-6444-4813"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Julian Schwehr","raw_affiliation_strings":["Control Methods & Robotics Lab, TU Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control Methods & Robotics Lab, TU Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018434031","display_name":"J\u00fcrgen Adamy","orcid":"https://orcid.org/0000-0001-5612-4932"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jurgen Adamy","raw_affiliation_strings":["Control Methods & Robotics Lab, TU Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control Methods & Robotics Lab, TU Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.4281,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.97291865,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/odometry","display_name":"Odometry","score":0.8661400079727173},{"id":"https://openalex.org/keywords/visual-odometry","display_name":"Visual odometry","score":0.8528803586959839},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7051352262496948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7045610547065735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6778683662414551},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.546330451965332},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4909992516040802},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.2541047930717468},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.19631531834602356}],"concepts":[{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.8661400079727173},{"id":"https://openalex.org/C5799516","wikidata":"https://www.wikidata.org/wiki/Q4110915","display_name":"Visual odometry","level":3,"score":0.8528803586959839},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7051352262496948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7045610547065735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6778683662414551},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.546330451965332},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4909992516040802},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2541047930717468},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.19631531834602356}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2018.8500560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2018.8500560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Intelligent Vehicles Symposium (IV)","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":18,"referenced_works":["https://openalex.org/W1484387568","https://openalex.org/W1522911029","https://openalex.org/W1995872093","https://openalex.org/W2001836169","https://openalex.org/W2012319351","https://openalex.org/W2031998160","https://openalex.org/W2097197771","https://openalex.org/W2115579991","https://openalex.org/W2150066425","https://openalex.org/W2151135369","https://openalex.org/W2165737454","https://openalex.org/W2505801897","https://openalex.org/W2512443656","https://openalex.org/W2565712281","https://openalex.org/W2736658807","https://openalex.org/W2766213449","https://openalex.org/W6724866088","https://openalex.org/W6725340379"],"related_works":["https://openalex.org/W2979950214","https://openalex.org/W87609089","https://openalex.org/W2414561716","https://openalex.org/W3024737167","https://openalex.org/W3161199934","https://openalex.org/W2303855011","https://openalex.org/W2312326526","https://openalex.org/W2412578866","https://openalex.org/W3105866016","https://openalex.org/W4312703710"],"abstract_inverted_index":{"Automotive":[0],"visual":[1,28,52,140,165,206,233,242],"odometry":[2,29,53,166,207,234,243],"has":[3,30],"become":[4],"a":[5,16,35,67,78,96,108,119,186,224],"highly":[6],"researched":[7],"topic.":[8],"The":[9,142],"published":[10],"works":[11],"have":[12],"turned":[13],"cameras":[14],"into":[15,34,240],"very":[17,225],"precise":[18],"source":[19],"of":[20,72,98,121,134,156,174,185,200,230],"ego":[21],"motion":[22,60,94,138,159,188,203],"estimation.":[23],"However,":[24],"for":[25,149,177,228],"automotive":[26],"application,":[27],"to":[31,38,56,84,113,168,196,209,213],"be":[32,64,147,161,190],"integrated":[33],"sensor":[36,79],"fusion":[37,80],"simultaneously":[39],"obtain":[40],"global":[41],"localization,":[42],"maximum":[43],"availability":[44],"as":[45,47,95,118],"well":[46],"highest":[48],"precision.":[49],"Since":[50],"any":[51],"remains":[54],"sensitive":[55],"its":[57,99],"environment,":[58],"good":[59,226],"estimation":[61,155,199],"cannot":[62],"always":[63],"guaranteed.":[65],"Consequently,":[66],"self-validation":[68,229],"scheme":[69,167],"is":[70,173,223],"one":[71],"the":[73,115,122,132,135,154,157,164,198,201,205,211,214,220,231,237,248,253],"barriers":[74],"towards":[75],"application":[76],"in":[77,204,252],"system.":[81],"In":[82],"order":[83],"solve":[85],"this":[86],"problem,":[87],"we":[88,106,127,194,218,245],"first":[89],"formulate":[90],"an":[91],"Ackermann":[92],"vehicle's":[93],"function":[97,120],"forward":[100],"speed":[101,117],"and":[102,208],"yaw":[103,123],"rate.":[104],"Secondly,":[105],"present":[107],"data-driven":[109],"model,":[110],"which":[111],"achieves":[112],"reconstruct":[114],"sideward":[116,137,158,202],"rate":[124],"only.":[125],"As":[126,217],"show,":[128,219],"both":[129],"models":[130],"reach":[131],"quality":[133],"estimated":[136],"from":[139,163],"odometry.":[141],"therewith":[143],"achieved":[144],"redundancy":[145],"can":[146,160],"used":[148],"different":[150],"tasks.":[151],"Of":[152],"course,":[153],"excluded":[162],"save":[169],"computation":[170],"time.":[171],"This":[172],"special":[175],"interest":[176],"monocular":[178],"systems,":[179],"where":[180],"yet":[181],"no":[182],"absolute":[183],"scale":[184],"translation":[187],"could":[189],"directly":[191],"calculated.":[192],"Instead,":[193],"propose":[195],"maintain":[197],"compare":[210],"result":[212,251],"modeled":[215],"motion.":[216],"emerging":[221],"deviation":[222],"metric":[227],"overall":[232],"estimate.":[235],"Integrating":[236],"resulting":[238],"method":[239],"our":[241],"system,":[244],"currently":[246],"achieve":[247],"best":[249],"frame-to-frame":[250],"KITTI":[254],"benchmark.":[255]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
