{"id":"https://openalex.org/W2990620332","doi":"https://doi.org/10.1109/hpec.2019.8916441","title":"An Interactive LiDAR to Camera Calibration","display_name":"An Interactive LiDAR to Camera Calibration","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2990620332","doi":"https://doi.org/10.1109/hpec.2019.8916441","mag":"2990620332"},"language":"en","primary_location":{"id":"doi:10.1109/hpec.2019.8916441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2019.8916441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1903.02122","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yecheng Lyu","orcid":null},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yecheng Lyu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lin Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lin Bai","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mahdi Elhousni","orcid":null},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahdi Elhousni","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xinming Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinming Huang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":null,"apc_paid":null,"fwci":1.1898,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.86892837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9995999932289124,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9995999932289124,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7378000020980835},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6137999892234802},{"id":"https://openalex.org/keywords/toolbox","display_name":"Toolbox","score":0.5565999746322632},{"id":"https://openalex.org/keywords/pinhole-camera","display_name":"Pinhole camera","score":0.5548999905586243},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.5338000059127808},{"id":"https://openalex.org/keywords/camera-auto-calibration","display_name":"Camera auto-calibration","score":0.5181999802589417},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.5170000195503235},{"id":"https://openalex.org/keywords/pinhole-camera-model","display_name":"Pinhole camera model","score":0.45339998602867126},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4388999938964844}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7817000150680542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7383999824523926},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7378000020980835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7207000255584717},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6137999892234802},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.5565999746322632},{"id":"https://openalex.org/C2776374813","wikidata":"https://www.wikidata.org/wiki/Q313742","display_name":"Pinhole camera","level":2,"score":0.5548999905586243},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.5338000059127808},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.5181999802589417},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.5170000195503235},{"id":"https://openalex.org/C199996500","wikidata":"https://www.wikidata.org/wiki/Q14369636","display_name":"Pinhole camera model","level":4,"score":0.45339998602867126},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4388999938964844},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4244000017642975},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.3804999887943268},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.3668000102043152},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.3605000078678131},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3357999920845032},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.2994999885559082},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.26429998874664307},{"id":"https://openalex.org/C2776700484","wikidata":"https://www.wikidata.org/wiki/Q15832623","display_name":"Pinhole (optics)","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/hpec.2019.8916441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2019.8916441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1903.02122","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.02122","pdf_url":"https://arxiv.org/pdf/1903.02122","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1903.02122","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.02122","pdf_url":"https://arxiv.org/pdf/1903.02122","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1990398405","https://openalex.org/W2035850930","https://openalex.org/W2111365302","https://openalex.org/W2555618208","https://openalex.org/W2556806731","https://openalex.org/W2896099866","https://openalex.org/W2909908358","https://openalex.org/W2963157317","https://openalex.org/W2963793227","https://openalex.org/W6786588760"],"related_works":[],"abstract_inverted_index":{"Recent":[0],"progress":[1],"in":[2,64,70,74,157],"the":[3,15,26,36,53,56,91,101,121,128,132,136,158,162,169,178,183],"automated":[4],"driving":[5,37],"system":[6,11],"and":[7,22,25,45,59,93,113,171,182,192],"advanced":[8],"driver":[9],"assistant":[10],"has":[12],"shown":[13],"that":[14,89],"combined":[16],"use":[17],"of":[18,55,103,110,135],"3D":[19],"light":[20],"detection":[21],"ranging":[23],"(LiDAR)":[24],"camera":[27,86,125,174,180,185,197],"is":[28,139],"essential":[29],"for":[30],"an":[31,82],"intelligent":[32],"vehicle":[33],"to":[34,52,61,68,85,119,142,167],"perceive":[35],"scenarios.":[38],"LiDAR-camera":[39,72],"fusion":[40],"systems":[41],"require":[42],"precise":[43,145],"intrinsic":[44,92],"extrinsic":[46,94],"transformation":[47],"between":[48],"sensors.":[49],"However,":[50],"due":[51],"limitation":[54],"calibration":[57,87],"equipment":[58],"susceptibility":[60],"noise,":[62],"algorithms":[63,166],"existing":[65,159],"methods":[66],"tend":[67],"fail":[69],"finding":[71],"correspondences":[73],"long-range":[75],"terms.":[76],"In":[77],"this":[78],"paper,":[79],"we":[80],"introduced":[81],"interactive":[83],"LiDAR":[84,111,191],"toolbox":[88,98,129,163],"estimates":[90],"transform":[95],"parameters.":[96],"This":[97],"automatically":[99],"detects":[100,131],"corner":[102,134],"a":[104,108,115,144,150],"planer":[105],"board":[106,148],"from":[107],"sequence":[109],"frames":[112],"provides":[114],"convenient":[116],"user":[117],"interface":[118],"annotate":[120],"corresponding":[122],"pixels":[123],"on":[124],"frames.":[126],"Since":[127],"only":[130],"top":[133],"board,":[137],"there":[138],"no":[140],"need":[141],"prepare":[143],"polygon":[146],"planar":[147],"or":[149],"checkerboard":[151],"with":[152],"different":[153],"reflectivity":[154],"areas":[155],"as":[156,177],"methods.":[160],"Furthermore,":[161],"uses":[164],"genetic":[165],"estimate":[168],"transforms":[170],"supports":[172],"multiple":[173],"models":[175],"such":[176],"pinhole":[179],"model":[181],"fisheye":[184],"model.":[186],"Experiments":[187],"using":[188],"Velodyne":[189],"VLP-16":[190],"Point":[193],"Grey":[194],"Chameleon":[195],"3":[196],"show":[198],"robust":[199],"results.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2019-12-05T00:00:00"}