{"id":"https://openalex.org/W4401413721","doi":"https://doi.org/10.1109/icra57147.2024.10611162","title":"A Novel, Efficient and Accurate Method for Lidar Camera Calibration","display_name":"A Novel, Efficient and Accurate Method for Lidar Camera Calibration","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4401413721","doi":"https://doi.org/10.1109/icra57147.2024.10611162"},"language":"en","primary_location":{"id":"doi:10.1109/icra57147.2024.10611162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10611162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5004022189","display_name":"Zhanhong Huang","orcid":"https://orcid.org/0000-0003-1103-1104"},"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":"Zhanhong Huang","raw_affiliation_strings":["Worcester Polytechnic Institute,Worcester,MA,USA,01609"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Worcester,MA,USA,01609","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320915","display_name":"Xiao Zhang","orcid":"https://orcid.org/0000-0003-0111-8089"},"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":"Xiao Zhang","raw_affiliation_strings":["Worcester Polytechnic Institute,Worcester,MA,USA,01609"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Worcester,MA,USA,01609","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000484768","display_name":"Antony Garc\u00eda","orcid":"https://orcid.org/0000-0002-5795-2104"},"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":"Antony Garcia","raw_affiliation_strings":["Worcester Polytechnic Institute,Worcester,MA,USA,01609"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Worcester,MA,USA,01609","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042654091","display_name":"Xinming Huang","orcid":"https://orcid.org/0000-0003-0584-3448"},"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":["Worcester Polytechnic Institute,Worcester,MA,USA,01609"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute,Worcester,MA,USA,01609","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":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"14513","last_page":"14519"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9973000288009644,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7827001214027405},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6830931901931763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6476336717605591},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5678015947341919},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5072981715202332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5065649747848511},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1419123411178589},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10819557309150696},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06262311339378357}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7827001214027405},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6830931901931763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6476336717605591},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5678015947341919},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5072981715202332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5065649747848511},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1419123411178589},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10819557309150696},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06262311339378357}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra57147.2024.10611162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10611162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2005126631","https://openalex.org/W2089898740","https://openalex.org/W2111365302","https://openalex.org/W2909816247","https://openalex.org/W2964249591","https://openalex.org/W2980040548","https://openalex.org/W2990620332","https://openalex.org/W3008115128","https://openalex.org/W3034275286","https://openalex.org/W3099814235","https://openalex.org/W3102894345","https://openalex.org/W3120910864","https://openalex.org/W3134385809","https://openalex.org/W3136025880","https://openalex.org/W3152786524","https://openalex.org/W3153564771","https://openalex.org/W3173732446","https://openalex.org/W3183685035","https://openalex.org/W3207776935","https://openalex.org/W3209907784","https://openalex.org/W4225986494","https://openalex.org/W4285142571","https://openalex.org/W4311049275","https://openalex.org/W4312500479","https://openalex.org/W4312707458","https://openalex.org/W4362714505","https://openalex.org/W4365130488","https://openalex.org/W4377971350","https://openalex.org/W4383097439","https://openalex.org/W4383109203","https://openalex.org/W4390874575","https://openalex.org/W4401416195","https://openalex.org/W6785598455","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W2351984678","https://openalex.org/W2140032575","https://openalex.org/W2011860471","https://openalex.org/W2012196540","https://openalex.org/W3011451421","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367"],"abstract_inverted_index":{"As":[0],"autonomous":[1],"systems":[2],"evolve,":[3],"the":[4,17,43,50,81,84,103,109,116,123,148,173],"precise":[5],"calibration":[6,23,85,93,171],"of":[7,19,45,58,75,83],"lidar":[8,53,71,104,128,154,170],"and":[9,32,52,73,112,155,161],"camera":[10,156,169],"sensors":[11],"remains":[12],"a":[13,37,63,91,96],"pivotal":[14],"concern.":[15],"Among":[16],"myriad":[18],"available":[20],"techniques,":[21],"target-based":[22],"methods,":[24],"which":[25,66,78,101],"employ":[26],"planar":[27],"boards":[28],"with":[29,127],"distinct":[30,133],"geometry":[31],"image":[33,51],"patterns,":[34],"have":[35],"been":[36],"popular":[38],"choice.":[39],"These":[40],"methods":[41],"simplify":[42],"task":[44],"extracting":[46],"corresponding":[47],"features":[48],"between":[49],"point":[54],"cloud.":[55],"But":[56],"many":[57],"these":[59],"approaches":[60],"also":[61,176],"face":[62],"significant":[64],"challenge,":[65],"is":[67],"their":[68],"sensitivity":[69],"to":[70,106,139,147],"resolution":[72],"Field":[74],"View":[76],"(FOV),":[77],"may":[79],"degrade":[80],"reliability":[82],"results.":[86],"Therefore,":[87],"our":[88,178],"research":[89],"introduces":[90],"novel":[92],"method":[94,163],"using":[95],"uniquely":[97],"designed":[98],"acrylic":[99],"checkerboard":[100],"allows":[102],"beam":[105],"pass":[107],"through":[108],"white":[110],"grids":[111],"reflect":[113],"back":[114],"from":[115,152],"black":[117],"grids.":[118],"This":[119,158],"innovative":[120],"technique":[121],"sidesteps":[122],"common":[124],"challenges":[125],"associated":[126],"feature":[129,150],"extraction.":[130],"Our":[131],"method\u2019s":[132],"advantage":[134],"lies":[135],"in":[136,172],"its":[137],"ability":[138],"perform":[140],"accurate":[141,162],"calibrations":[142],"at":[143],"close":[144],"distances,":[145],"owing":[146],"efficient":[149],"extraction":[151],"both":[153],"sensors.":[157],"novel,":[159],"efficient,":[160],"can":[164],"provide":[165],"state-of-the-art":[166],"results":[167],"for":[168],"field.":[174],"Please":[175],"check":[177],"Github":[179],"repository:":[180],"https://github.com/WPI-APA-Lab/Acrylic-Board-Lidar-Camera-Calibration":[181]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}