{"id":"https://openalex.org/W2909586669","doi":"https://doi.org/10.1109/iros.2018.8594237","title":"Timestamp Offset Calibration for an IMU-Camera System Under Interval Uncertainty","display_name":"Timestamp Offset Calibration for an IMU-Camera System Under Interval Uncertainty","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2909586669","doi":"https://doi.org/10.1109/iros.2018.8594237","mag":"2909586669"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2018.8594237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8594237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5070977009","display_name":"Raphael Voges","orcid":"https://orcid.org/0000-0002-8072-2454"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Raphael Voges","raw_affiliation_strings":["Real Time Systems Group (RTS), Leibniz Universit\u00e4t Hannover, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Real Time Systems Group (RTS), Leibniz Universit\u00e4t Hannover, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101541221","display_name":"Bernardo Wagner","orcid":"https://orcid.org/0000-0001-5900-0935"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernardo Wagner","raw_affiliation_strings":["Real Time Systems Group (RTS), Leibniz Universit\u00e4t Hannover, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Real Time Systems Group (RTS), Leibniz Universit\u00e4t Hannover, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070977009"],"corresponding_institution_ids":["https://openalex.org/I114112103"],"apc_list":null,"apc_paid":null,"fwci":3.1051,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.91833784,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"377","last_page":"384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9975000023841858,"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":0.9975000023841858,"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":0.996999979019165,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9911999702453613,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.8772003650665283},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.8337823152542114},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.7582460641860962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.697670042514801},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6009988784790039},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5870204567909241},{"id":"https://openalex.org/keywords/utc-offset","display_name":"UTC offset","score":0.5328730940818787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5190485119819641},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4656584560871124},{"id":"https://openalex.org/keywords/camera-auto-calibration","display_name":"Camera auto-calibration","score":0.4353387951850891},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.42358842492103577},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.2999497652053833},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23579096794128418},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.16507616639137268}],"concepts":[{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.8772003650665283},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.8337823152542114},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.7582460641860962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.697670042514801},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6009988784790039},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5870204567909241},{"id":"https://openalex.org/C185588997","wikidata":"https://www.wikidata.org/wiki/Q187110","display_name":"UTC offset","level":3,"score":0.5328730940818787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5190485119819641},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4656584560871124},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.4353387951850891},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.42358842492103577},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.2999497652053833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23579096794128418},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.16507616639137268},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2018.8594237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8594237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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":20,"referenced_works":["https://openalex.org/W1588693185","https://openalex.org/W1982852503","https://openalex.org/W1994349244","https://openalex.org/W2006169361","https://openalex.org/W2030642801","https://openalex.org/W2042357505","https://openalex.org/W2075639574","https://openalex.org/W2077751272","https://openalex.org/W2117261206","https://openalex.org/W2167340365","https://openalex.org/W2167667767","https://openalex.org/W2170715240","https://openalex.org/W2467377838","https://openalex.org/W2468119105","https://openalex.org/W2544327991","https://openalex.org/W2590327367","https://openalex.org/W2742929589","https://openalex.org/W2811180991","https://openalex.org/W4298255709","https://openalex.org/W6635220200"],"related_works":["https://openalex.org/W2060561905","https://openalex.org/W1417711376","https://openalex.org/W2032260263","https://openalex.org/W1986883493","https://openalex.org/W2469862403","https://openalex.org/W2166378262","https://openalex.org/W2785359964","https://openalex.org/W2544080055","https://openalex.org/W2284380850","https://openalex.org/W2005377707"],"abstract_inverted_index":{"To":[0],"properly":[1],"fuse":[2],"IMU":[3,63],"and":[4,55,64,111,118],"camera":[5,65,110,112],"information":[6],"for":[7,78,143,172],"robotics":[8],"applications,":[9],"the":[10,25,39,53,87,93,128,155,173,181,188,191],"relative":[11],"timestamp":[12,27,156,192],"offset":[13,28,54,89,129,157,193],"between":[14,175],"both":[15,116,176],"sensors'":[16],"data":[17,96,120],"streams":[18],"has":[19],"to":[20,36,45,51,126,130,153,168,194],"be":[21,98,151,166],"considered.":[22],"However,":[23],"finding":[24],"exact":[26],"is":[29,34,141],"often":[30],"impossible.":[31],"Thus,":[32],"it":[33,185],"necessary":[35],"additionally":[37],"consider":[38],"offset's":[40],"uncertainty":[41],"if":[42],"we":[43,58,123],"want":[44],"produce":[46],"reliable":[47],"results.":[48],"In":[49],"order":[50],"find":[52],"its":[56],"uncertainty,":[57],"determine":[59,127,169],"orientation":[60],"estimates":[61],"from":[62],"under":[66],"interval":[67,85,171],"uncertainty.":[68,94],"Subsequently,":[69],"these":[70],"intervals":[71],"are":[72,124],"used":[73,152],"as":[74],"a":[75,101,105,137,159],"common":[76],"representation":[77],"our":[79,148,163],"bounded-error":[80],"approach":[81,149],"that":[82,122,140],"finds":[83],"an":[84,131,170],"enclosing":[86],"true":[88],"while":[90],"also":[91,186],"modeling":[92],"Calibration":[95],"can":[97,165],"acquired":[99],"in":[100,158],"few":[102],"seconds":[103],"using":[104,115],"simple":[106],"setup":[107],"of":[108,133,190],"IMU,":[109],"target.":[113],"Results":[114],"simulated":[117],"real":[119],"demonstrate":[121],"able":[125],"accuracy":[132,189],"20":[134],"ms":[135],"with":[136],"computation":[138,182],"time":[139,183],"suitable":[142],"future":[144],"online":[145],"applications.":[146],"Here,":[147],"could":[150],"monitor":[154],"guaranteed":[160],"way.":[161],"Additionally,":[162],"method":[164],"adapted":[167],"rotation":[174],"sensors.":[177],"While":[178],"this":[179],"increases":[180],"drastically,":[184],"enhances":[187],"less":[195],"than":[196],"10":[197],"ms.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}