{"id":"https://openalex.org/W4298005639","doi":"https://doi.org/10.3390/rs14194851","title":"RGB-ICP Method to Calculate Ground Three-Dimensional Deformation Based on Point Cloud from Airborne LiDAR","display_name":"RGB-ICP Method to Calculate Ground Three-Dimensional Deformation Based on Point Cloud from Airborne LiDAR","publication_year":2022,"publication_date":"2022-09-28","ids":{"openalex":"https://openalex.org/W4298005639","doi":"https://doi.org/10.3390/rs14194851"},"language":"en","primary_location":{"id":"doi:10.3390/rs14194851","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194851","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4851/pdf?version=1665214118","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/19/4851/pdf?version=1665214118","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021346572","display_name":"Mengting Sang","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengting Sang","raw_affiliation_strings":["Laboratory of Geohazards Perception, Cognition and Predication, Central South University, Changsha 410083, China","School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Geohazards Perception, Cognition and Predication, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011474402","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0001-7930-9147"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Laboratory of Geohazards Perception, Cognition and Predication, Central South University, Changsha 410083, China","School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Geohazards Perception, Cognition and Predication, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022381183","display_name":"Ya\u2019ni Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yani Pan","raw_affiliation_strings":["Laboratory of Geohazards Perception, Cognition and Predication, Central South University, Changsha 410083, China","School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Geohazards Perception, Cognition and Predication, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011474402"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.3299,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.92381657,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"14","issue":"19","first_page":"4851","last_page":"4851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9993000030517578,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9983999729156494,"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":0.7984203100204468},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7551161050796509},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7247127294540405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6554725766181946},{"id":"https://openalex.org/keywords/iterative-closest-point","display_name":"Iterative closest point","score":0.6129641532897949},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6055343747138977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5856203436851501},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.5749956965446472},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4864489734172821},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.451521098613739},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.43711450695991516},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4371025562286377},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4305232763290405},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4198068380355835},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4186056852340698},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3254975378513336},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.17401418089866638},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16606956720352173},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14023363590240479}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7984203100204468},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7551161050796509},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7247127294540405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6554725766181946},{"id":"https://openalex.org/C195958017","wikidata":"https://www.wikidata.org/wiki/Q1675268","display_name":"Iterative closest point","level":3,"score":0.6129641532897949},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6055343747138977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5856203436851501},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.5749956965446472},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4864489734172821},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.451521098613739},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.43711450695991516},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4371025562286377},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4305232763290405},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4198068380355835},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4186056852340698},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3254975378513336},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17401418089866638},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16606956720352173},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14023363590240479},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14194851","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194851","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4851/pdf?version=1665214118","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a782fb1fee9e4ea8a35fe4ad2df1d81e","is_oa":true,"landing_page_url":"https://doaj.org/article/a782fb1fee9e4ea8a35fe4ad2df1d81e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 19, p 4851 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/19/4851/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14194851","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14194851","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194851","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4851/pdf?version=1665214118","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1339864048","display_name":null,"funder_award_id":"72088101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1547227467","display_name":null,"funder_award_id":"2088101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2286204520","display_name":null,"funder_award_id":"2020JJ5708","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3819459048","display_name":null,"funder_award_id":"41901295","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4498441335","display_name":null,"funder_award_id":"72088101","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4683039520","display_name":null,"funder_award_id":"41930108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5068573622","display_name":null,"funder_award_id":"2018YFB0504500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5337841749","display_name":null,"funder_award_id":"2020JJ5708","funder_id":"https://openalex.org/F4320322866","funder_display_name":"Natural Science Foundation of Hainan Province"},{"id":"https://openalex.org/G5598995915","display_name":null,"funder_award_id":"2018YFB0504500","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8339520536","display_name":null,"funder_award_id":"4193010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322866","display_name":"Natural Science Foundation of Hainan Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4298005639.pdf","grobid_xml":"https://content.openalex.org/works/W4298005639.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W319598780","https://openalex.org/W1593822959","https://openalex.org/W1611372552","https://openalex.org/W1974790253","https://openalex.org/W1984581836","https://openalex.org/W1988874269","https://openalex.org/W1993118912","https://openalex.org/W1994051411","https://openalex.org/W1997061485","https://openalex.org/W2012595437","https://openalex.org/W2033003794","https://openalex.org/W2041492362","https://openalex.org/W2049854196","https://openalex.org/W2063549868","https://openalex.org/W2072379588","https://openalex.org/W2085100338","https://openalex.org/W2085419172","https://openalex.org/W2090265020","https://openalex.org/W2093814105","https://openalex.org/W2094694151","https://openalex.org/W2112251028","https://openalex.org/W2118104180","https://openalex.org/W2125649293","https://openalex.org/W2141092327","https://openalex.org/W2142586389","https://openalex.org/W2150093133","https://openalex.org/W2152275262","https://openalex.org/W2159029220","https://openalex.org/W2159332398","https://openalex.org/W2159593339","https://openalex.org/W2168839937","https://openalex.org/W2340185346","https://openalex.org/W2363444482","https://openalex.org/W2396371907","https://openalex.org/W2409612605","https://openalex.org/W2412304262","https://openalex.org/W2471617352","https://openalex.org/W2538048763","https://openalex.org/W2543281563","https://openalex.org/W2738231860","https://openalex.org/W2754680981","https://openalex.org/W2770740553","https://openalex.org/W2776330782","https://openalex.org/W2782397759","https://openalex.org/W2851025245","https://openalex.org/W2892336504","https://openalex.org/W2906472891","https://openalex.org/W2939712114","https://openalex.org/W2943928188","https://openalex.org/W2969723782","https://openalex.org/W2998696332","https://openalex.org/W2999740301","https://openalex.org/W3049110587","https://openalex.org/W3092213026","https://openalex.org/W3152258641","https://openalex.org/W3163847370","https://openalex.org/W3210946772","https://openalex.org/W4200246780","https://openalex.org/W4206184407","https://openalex.org/W4214606828","https://openalex.org/W4214947762","https://openalex.org/W4285300320","https://openalex.org/W4290999017","https://openalex.org/W6662860747","https://openalex.org/W6677100732","https://openalex.org/W6706950386","https://openalex.org/W6809233167","https://openalex.org/W6987807986"],"related_works":["https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W2813834476","https://openalex.org/W3016861202","https://openalex.org/W4391129294","https://openalex.org/W2807666361","https://openalex.org/W2196111060","https://openalex.org/W4213431252","https://openalex.org/W4306760020","https://openalex.org/W2120071540"],"abstract_inverted_index":{"With":[0],"the":[1,34,65,76,83,88,95,98,103,108,112,127,139,145,148,158,164,169,174,188,191,195,204,223],"rapid":[2],"development":[3],"of":[4,75,111,129,147],"LiDAR":[5,11],"technology":[6],"in":[7,22,168,194,212],"recent":[8],"years,":[9],"high-resolution":[10],"data":[12],"possess":[13],"a":[14,29,71,209,218],"great":[15],"capability":[16],"to":[17,32,86,97,125,151,179],"describe":[18],"fine":[19],"surface":[20,35,53,213,224],"morphology":[21],"detail;":[23],"thus,":[24,52],"differencing":[25,41],"multi-temporal":[26],"datasets":[27],"becomes":[28],"powerful":[30],"tool":[31],"explain":[33],"deformation":[36,54,154,165],"process.":[37,226],"Compared":[38],"with":[39],"other":[40],"methods,":[42],"ICP":[43,67,119],"algorithms":[44,150],"can":[45,56,92,207],"directly":[46],"estimate":[47,152],"3D":[48,153],"displacements":[49],"and":[50,79,115,157,216],"rotations;":[51],"parameters":[55],"be":[57],"obtained":[58],"by":[59,132],"aligning":[60],"window":[61],"point":[62,77,113,135],"clouds.":[63],"However,":[64],"traditional":[66],"algorithm":[68,96,160,176,206],"usually":[69],"requires":[70],"good":[72],"initial":[73],"pose":[74],"cloud":[78,114],"relies":[80],"on":[81],"calculating":[82],"spatial":[84],"distance":[85],"match":[87],"corresponding":[89],"points,":[90],"which":[91],"easily":[93],"lead":[94],"local":[99],"optimum.":[100],"To":[101],"address":[102],"above":[104],"problems,":[105],"we":[106],"introduced":[107],"color":[109],"information":[110],"proposed":[116],"an":[117],"improved":[118],"method":[120],"that":[121,203],"fuses":[122],"RGB":[123],"(RGB-ICP)":[124],"reduce":[126,163],"probability":[128],"matching":[130],"errors":[131],"filtering":[133],"color-associated":[134],"pairs,":[136],"thus":[137],"improving":[138],"alignment":[140],"accuracy.":[141],"Through":[142],"simulated":[143],"experiments,":[144],"ability":[146],"two":[149],"was":[155,177,190],"compared,":[156],"RGB-ICP":[159,175,205],"could":[161],"significantly":[162],"deviation":[166],"(30\u201395%)":[167],"three-dimensional":[170],"direction.":[171,197],"In":[172],"addition,":[173],"applicable":[178],"different":[180],"terrain":[181],"structures,":[182],"especially":[183],"for":[184,221],"smooth":[185],"terrain,":[186],"where":[187],"improvement":[189],"most":[192],"effective":[193],"horizontal":[196],"Finally,":[198],"it":[199],"is":[200],"worth":[201],"believing":[202],"play":[208],"unique":[210],"role":[211],"change":[214],"detection":[215],"provide":[217],"reliable":[219],"basis":[220],"explaining":[222],"motion":[225]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
