{"id":"https://openalex.org/W4394784539","doi":"https://doi.org/10.1007/s10044-024-01264-1","title":"High-recall calibration monitoring for stereo cameras","display_name":"High-recall calibration monitoring for stereo cameras","publication_year":2024,"publication_date":"2024-04-13","ids":{"openalex":"https://openalex.org/W4394784539","doi":"https://doi.org/10.1007/s10044-024-01264-1"},"language":"en","primary_location":{"id":"doi:10.1007/s10044-024-01264-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10044-024-01264-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10044-024-01264-1.pdf","source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10044-024-01264-1.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102980436","display_name":"Jaroslav Moravec","orcid":"https://orcid.org/0000-0002-3336-8931"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Jaroslav Moravec","raw_affiliation_strings":["Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Technick\u00e1 2, Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Technick\u00e1 2, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034113664","display_name":"Radim \u0160\u00e1ra","orcid":"https://orcid.org/0000-0002-2032-5764"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Radim \u0160\u00e1ra","raw_affiliation_strings":["Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Technick\u00e1 2, Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Technick\u00e1 2, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102980436"],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":3.1661,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92056143,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"27","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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":0.9998999834060669,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9990000128746033,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.733972430229187},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6953909993171692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.694987416267395},{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.5679389238357544},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5321632623672485},{"id":"https://openalex.org/keywords/simultaneous-localization-and-mapping","display_name":"Simultaneous localization and mapping","score":0.462811142206192},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.45241591334342957},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4354124069213867},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3609570264816284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20839989185333252},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.13568317890167236},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.10436311364173889},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08840122818946838}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.733972430229187},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6953909993171692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.694987416267395},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.5679389238357544},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5321632623672485},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.462811142206192},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.45241591334342957},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4354124069213867},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3609570264816284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20839989185333252},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.13568317890167236},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.10436311364173889},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08840122818946838},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10044-024-01264-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10044-024-01264-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10044-024-01264-1.pdf","source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10044-024-01264-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10044-024-01264-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10044-024-01264-1.pdf","source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4366822289","display_name":null,"funder_award_id":"SGS22/111/OHK3/2T/13","funder_id":"https://openalex.org/F4320309972","funder_display_name":"\u010cesk\u00e9 Vysok\u00e9 U\u010den\u00ed Technick\u00e9 v Praze"}],"funders":[{"id":"https://openalex.org/F4320309972","display_name":"\u010cesk\u00e9 Vysok\u00e9 U\u010den\u00ed Technick\u00e9 v Praze","ror":"https://ror.org/03kqpb082"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394784539.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1491719799","https://openalex.org/W1533496907","https://openalex.org/W1573751879","https://openalex.org/W2016419958","https://openalex.org/W2033819227","https://openalex.org/W2085261163","https://openalex.org/W2096386042","https://openalex.org/W2121349631","https://openalex.org/W2121389894","https://openalex.org/W2124906943","https://openalex.org/W2146722749","https://openalex.org/W2150066425","https://openalex.org/W2151103935","https://openalex.org/W2167667767","https://openalex.org/W2295149141","https://openalex.org/W2396274919","https://openalex.org/W2535547924","https://openalex.org/W2790389394","https://openalex.org/W2964071054","https://openalex.org/W3091671966","https://openalex.org/W3102327032","https://openalex.org/W3113575493","https://openalex.org/W3186685722","https://openalex.org/W3210973070","https://openalex.org/W4230681702","https://openalex.org/W4238625596","https://openalex.org/W4252972361","https://openalex.org/W4256074317","https://openalex.org/W4286543692","https://openalex.org/W4381886948"],"related_works":["https://openalex.org/W132764016","https://openalex.org/W2148054235","https://openalex.org/W2132043085","https://openalex.org/W4251504644","https://openalex.org/W2369285629","https://openalex.org/W2123437433","https://openalex.org/W2144496413","https://openalex.org/W2336873990","https://openalex.org/W2788440385","https://openalex.org/W2083135309"],"abstract_inverted_index":{"Abstract":[0],"Cameras":[1],"are":[2],"the":[3,51,150,165,183,192],"prevalent":[4],"sensors":[5],"used":[6],"for":[7,67],"perception":[8],"in":[9],"autonomous":[10],"robotic":[11],"systems,":[12],"but":[13],"their":[14],"initial":[15],"calibration":[16,64,84],"may":[17,26],"degrade":[18],"over":[19],"time":[20],"due":[21],"to":[22,28],"dynamic":[23],"factors.":[24],"This":[25],"lead":[27],"a":[29,45,58,68,87,99,111,123],"failure":[30],"of":[31,54,60,152,182,202],"downstream":[32,199],"tasks,":[33],"such":[34],"as":[35,186],"simultaneous":[36],"localization":[37],"and":[38,130,144,160,164,173,198],"mapping":[39],"(SLAM)":[40],"or":[41],"object":[42],"recognition.":[43],"Hence,":[44],"computationally":[46],"lightweight":[47],"process":[48],"that":[49],"detects":[50],"decalibration":[52],"is":[53],"interest.":[55],"We":[56],"describe":[57],"modification":[59,133,148],"StOCaMo,":[61],"an":[62,103],"online":[63],"monitoring":[65],"procedure":[66],"stereoscopic":[69],"system.":[70],"The":[71,147,188],"method":[72,190],"uses":[73],"robust":[74],"kernel":[75],"correlation":[76,194],"based":[77,114],"on":[78,86,107,115,122,136],"epipolar":[79],"constraints;":[80],"it":[81],"validates":[82],"extrinsic":[83],"parameters":[85,120],"single":[88],"frame":[89],"with":[90,102],"no":[91],"temporal":[92],"tracking.":[93],"In":[94],"this":[95],"paper,":[96],"we":[97],"present":[98],"modified":[100],"StOCaMo":[101,129,153,196],"improved":[104,149],"recall":[105,151],"rate":[106],"small":[108],"decalibrations":[109],"through":[110],"confirmation":[112],"technique":[113],"resampled":[116],"variance.":[117],"With":[118],"fixed":[119],"learned":[121],"realistic":[124],"synthetic":[125],"dataset":[126],"from":[127,139],"CARLA,":[128],"its":[131],"proposed":[132],"were":[134],"tested":[135],"multiple":[137],"sequences":[138],"two":[140],"real-world":[141],"datasets:":[142],"KITTI":[143],"EuRoC":[145],"MAV.":[146],"by":[154,167],"25":[155],"%":[156,159,169,172],"(to":[157,170],"91":[158],"82":[161],"%,":[162,175],"respectively),":[163,176],"accuracy":[166],"12":[168],"94.7":[171],"87.5":[174],"while":[177],"labeling":[178],"at":[179],"most":[180],"one-third":[181],"input":[184],"data":[185],"uninformative.":[187],"upgraded":[189],"achieved":[191],"rank":[193],"between":[195],"V-index":[197],"SLAM":[200],"error":[201],"0.78":[203],"(Spearman).":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
