{"id":"https://openalex.org/W4214943264","doi":"https://doi.org/10.1109/icaiic54071.2022.9722671","title":"Calibration-Net:LiDAR and Camera Auto-Calibration using Cost Volume and Convolutional Neural Network","display_name":"Calibration-Net:LiDAR and Camera Auto-Calibration using Cost Volume and Convolutional Neural Network","publication_year":2022,"publication_date":"2022-02-21","ids":{"openalex":"https://openalex.org/W4214943264","doi":"https://doi.org/10.1109/icaiic54071.2022.9722671"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic54071.2022.9722671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic54071.2022.9722671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5033935657","display_name":"An Nguyen Duy","orcid":null},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"An Nguyen Duy","raw_affiliation_strings":["Soongsil University,Department of Information Communication Convergence,Seoul,Korea Republic of"],"affiliations":[{"raw_affiliation_string":"Soongsil University,Department of Information Communication Convergence,Seoul,Korea Republic of","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089437153","display_name":"Myungsik Yoo","orcid":"https://orcid.org/0000-0002-5578-6931"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myungsik Yoo","raw_affiliation_strings":["Soongsil University,School of Electronic Engineering,Seoul,Korea Republic of"],"affiliations":[{"raw_affiliation_string":"Soongsil University,School of Electronic Engineering,Seoul,Korea Republic of","institution_ids":["https://openalex.org/I141371507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033935657"],"corresponding_institution_ids":["https://openalex.org/I141371507"],"apc_list":null,"apc_paid":null,"fwci":1.3086,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.80827075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991999864578247,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9986000061035156,"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/lidar","display_name":"Lidar","score":0.8770180344581604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7752293348312378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7597362995147705},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.753151535987854},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6966895461082458},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6311168670654297},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.45699331164360046},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.43279603123664856},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4068569242954254},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11273330450057983},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11131089925765991}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8770180344581604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7752293348312378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7597362995147705},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.753151535987854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6966895461082458},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6311168670654297},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.45699331164360046},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.43279603123664856},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4068569242954254},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11273330450057983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11131089925765991},{"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:10.1109/icaiic54071.2022.9722671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic54071.2022.9722671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1990398405","https://openalex.org/W2150066425","https://openalex.org/W2200124539","https://openalex.org/W2908599206","https://openalex.org/W2963270286","https://openalex.org/W2963782415","https://openalex.org/W2964121744","https://openalex.org/W2990464486","https://openalex.org/W2999050151","https://openalex.org/W3000598585","https://openalex.org/W3114329284","https://openalex.org/W3129293064","https://openalex.org/W3158910630","https://openalex.org/W6631190155","https://openalex.org/W6687522706","https://openalex.org/W6787232719"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W2956374172","https://openalex.org/W1964041166","https://openalex.org/W4210818033","https://openalex.org/W4221065211","https://openalex.org/W2351153395"],"abstract_inverted_index":{"A":[0],"fusion":[1,28],"of":[2,62,82,91,98,123,130],"multi-sensor":[3],"has":[4],"been":[5],"utilized":[6],"widely":[7],"for":[8,24,51,108],"improving":[9],"the":[10,26,60,76,99,109,113,124,156,160],"environment":[11],"perception":[12],"in":[13,133,167],"autonomous":[14],"vehicles":[15],"and":[16,39,54,57,95,136,163,170],"robot":[17],"navigation.":[18],"Calibration":[19],"is":[20],"an":[21,69],"essential":[22],"procedure":[23],"preprocessing":[25],"data":[27],"between":[29,126],"multiple":[30],"sensors.":[31],"Most":[32],"target-based":[33],"calibration":[34,41,72,116,151],"techniques":[35],"require":[36],"manual":[37],"works":[38],"specific":[40],"targets":[42],"to":[43,146,148],"achieve":[44,164],"high":[45],"accuracy.":[46],"It":[47],"gradually":[48],"becomes":[49],"outmoded":[50],"Light":[52],"Detection":[53],"Ranging":[55],"(LiDAR)":[56],"camera":[58,93,135],"with":[59],"development":[61],"deep":[63],"learning":[64],"techniques.":[65],"This":[66],"paper":[67],"proposed":[68,110,140,157],"online":[70],"LiDAR-camera":[71],"that":[73],"automatically":[74],"predicts":[75],"extrinsic":[77],"parameters":[78],"by":[79],"taking":[80],"advantage":[81],"convolutional":[83],"neural":[84],"networks":[85],"(CNNs).":[86],"We":[87,154],"take":[88],"depth":[89,96,131],"maps":[90,97,132],"stereo":[92,134],"prediction":[94],"LiDAR":[100],"projection":[101],"as":[102,106],"two":[103,127],"separated":[104],"branches":[105],"inputs":[107],"network.":[111],"Unlike":[112],"current":[114],"CNN-based":[115],"method,":[117],"we":[118],"construct":[119],"a":[120,143],"cost":[121],"volume":[122],"correlation":[125],"corresponding":[128],"pixels":[129],"LiDAR,":[137],"respectively.":[138],"The":[139],"model":[141],"gains":[142],"reasonable":[144],"capability":[145],"adjust":[147],"different":[149],"initial":[150],"error":[152,169],"ranges.":[153],"evaluate":[155],"architecture":[158],"on":[159],"KITTI":[161],"dataset":[162],"0.378":[165],"degree":[166],"rotation":[168],"2.353cm":[171],"translation":[172],"error.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}