{"id":"https://openalex.org/W4405481381","doi":"https://doi.org/10.1145/3702468.3702480","title":"Proposal on Implementation of Geometric Properties on Reference Points Reconstruction for Extrinsic Parameters Calibration of Sparse Point Cloud","display_name":"Proposal on Implementation of Geometric Properties on Reference Points Reconstruction for Extrinsic Parameters Calibration of Sparse Point Cloud","publication_year":2024,"publication_date":"2024-09-12","ids":{"openalex":"https://openalex.org/W4405481381","doi":"https://doi.org/10.1145/3702468.3702480"},"language":"en","primary_location":{"id":"doi:10.1145/3702468.3702480","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3702468.3702480","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3702468.3702480?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Robot Systems and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3702468.3702480?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033967217","display_name":"Kittikhun Sirinaksomboon","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kittikhun Sirinaksomboon","raw_affiliation_strings":["Laboratory of Precision Metrology and Robotics Division of Human Mechanical Systems and Design, Hokkaido University, Sapporo, Hokkaido, Japan"],"raw_orcid":"https://orcid.org/0009-0001-9212-3467","affiliations":[{"raw_affiliation_string":"Laboratory of Precision Metrology and Robotics Division of Human Mechanical Systems and Design, Hokkaido University, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045022032","display_name":"Takanori Emaru","orcid":"https://orcid.org/0000-0003-0806-9769"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takanori Emaru","raw_affiliation_strings":["Laboratory of Precision Metrology and Robotics Division of Human Mechanical Systems and Design, Hokkaido University, Sapporo, Hokkaido, Japan"],"raw_orcid":"https://orcid.org/0000-0003-0806-9769","affiliations":[{"raw_affiliation_string":"Laboratory of Precision Metrology and Robotics Division of Human Mechanical Systems and Design, Hokkaido University, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22305589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"64","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T14163","display_name":"Astronomical Observations and Instrumentation","score":0.9642999768257141,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9634000062942505,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8674099445343018},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.7034159898757935},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6584419012069702},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5945567488670349},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5772021412849426},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37339019775390625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36631983518600464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35171109437942505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24604934453964233},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.15972793102264404},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12500786781311035}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8674099445343018},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.7034159898757935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6584419012069702},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5945567488670349},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5772021412849426},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37339019775390625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36631983518600464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35171109437942505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24604934453964233},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.15972793102264404},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12500786781311035},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3702468.3702480","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3702468.3702480","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3702468.3702480?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Robot Systems and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3702468.3702480","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3702468.3702480","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3702468.3702480?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Robot Systems and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405481381.pdf"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W2033824339","https://openalex.org/W2134019518","https://openalex.org/W2620931265","https://openalex.org/W3008003211","https://openalex.org/W3120910864","https://openalex.org/W3135991645","https://openalex.org/W3210065386","https://openalex.org/W4221152514","https://openalex.org/W4385445509","https://openalex.org/W4392592030","https://openalex.org/W6759057284"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"In":[0,127],"autonomous":[1],"driving":[2],"schemes,":[3],"various":[4,13],"sensors":[5,32],"are":[6,96,112,132],"required":[7,60,97],"to":[8,11,22,33,57,101],"be":[9,122],"implemented":[10],"acquire":[12,102],"kinds":[14],"of":[15,31,71,76,172],"data.":[16],"A":[17],"calibration":[18,65],"method":[19],"is":[20,41],"needed":[21],"find":[23],"the":[24,48,59,64,69,74,147,150,154,162,166,170,173],"relationship":[25],"between":[26],"two":[27,136],"or":[28],"more":[29,115],"types":[30],"link":[34],"them.":[35],"Traditionally,":[36],"a":[37,81,86,99,106,117,125,143,158],"uniquely":[38],"configured":[39],"board":[40,50,100,156],"necessitated":[42],"for":[43,62],"LiDAR":[44],"camera":[45],"calibration.":[46],"However,":[47],"traditional":[49],"contains":[51],"excessive":[52],"space.":[53],"This":[54],"study":[55],"aims":[56],"minimize":[58],"space":[61],"constructing":[63],"board.":[66],"Focusing":[67],"on":[68,98,135],"properties":[70],"geometric":[72],"shapes,":[73,139],"reconstruction":[75],"each":[77],"circular":[78,91],"shape":[79],"from":[80,124,153],"hole":[82,160],"can":[83,121],"specify":[84],"only":[85],"single":[87,118],"reference":[88,119],"point.":[89],"Four":[90],"holes":[92,111],"with":[93,146,157],"enough":[94],"distance":[95],"four":[103],"points":[104,151],"in":[105],"row.":[107],"If":[108],"other":[109],"geometrical":[110,138],"instead":[113],"utilized,":[114],"than":[116],"point":[120],"extracted":[123,152],"hole.":[126],"this":[128],"experiment,":[129],"proposed":[130,155],"patterns":[131],"constructed":[133],"based":[134],"simple":[137],"an":[140],"equilateral,":[141],"and":[142],"square.":[144],"Compared":[145],"conventional":[148],"board,":[149],"triangular":[159],"at":[161],"specific":[163],"rotation":[164],"achieved":[165],"highest":[167],"accuracy":[168],"while":[169],"size":[171],"pattern":[174],"was":[175],"minimized.":[176]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}