{"id":"https://openalex.org/W4402260881","doi":"https://doi.org/10.1109/igarss53475.2024.10642781","title":"An Improved Registration Method for Radar Point Cloud in Weakly Structured Texture Scenes of Urban Environments","display_name":"An Improved Registration Method for Radar Point Cloud in Weakly Structured Texture Scenes of Urban Environments","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402260881","doi":"https://doi.org/10.1109/igarss53475.2024.10642781"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10642781","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10642781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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/A5101451353","display_name":"Yongqiang Wang","orcid":"https://orcid.org/0009-0006-8748-4512"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqiang Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091269269","display_name":"Lihua Ni","orcid":"https://orcid.org/0000-0002-1012-7289"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Ni","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115594538","display_name":"Di Zhang","orcid":"https://orcid.org/0000-0001-5196-4633"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026335787","display_name":"Qun Wan","orcid":"https://orcid.org/0000-0002-6607-5422"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Wan","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.8802,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84450296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"9696","last_page":"9700"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9976999759674072,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7161662578582764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6482071876525879},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6396582126617432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6014337539672852},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5795795917510986},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4998819828033447},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4937356412410736},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.49289464950561523},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4459272623062134},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.41098111867904663},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3886520266532898},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3546563386917114},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23013260960578918},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1993446946144104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.142899751663208},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09716382622718811},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.064430832862854}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7161662578582764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6482071876525879},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6396582126617432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6014337539672852},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5795795917510986},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4998819828033447},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4937356412410736},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.49289464950561523},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4459272623062134},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.41098111867904663},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3886520266532898},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3546563386917114},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23013260960578918},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1993446946144104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.142899751663208},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09716382622718811},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.064430832862854},{"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:10.1109/igarss53475.2024.10642781","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10642781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8299999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321292","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2064499898","https://openalex.org/W2085261163","https://openalex.org/W2117228865","https://openalex.org/W2160821342","https://openalex.org/W2270425654","https://openalex.org/W2769591697","https://openalex.org/W2890714858","https://openalex.org/W2969150231","https://openalex.org/W2970479183","https://openalex.org/W3047504807","https://openalex.org/W3091337047","https://openalex.org/W3094265892","https://openalex.org/W3128472000","https://openalex.org/W3130465612","https://openalex.org/W3167612819","https://openalex.org/W3203367119","https://openalex.org/W3206505934","https://openalex.org/W4224315224","https://openalex.org/W4234979662","https://openalex.org/W4312985079","https://openalex.org/W4380372879","https://openalex.org/W4382936712","https://openalex.org/W6682516890"],"related_works":["https://openalex.org/W4389574804","https://openalex.org/W3016928466","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W4313855562","https://openalex.org/W2091422131"],"abstract_inverted_index":{"Radar":[0],"point":[1,46],"cloud":[2,47],"registration":[3,48,66,87,99],"is":[4],"vital":[5],"for":[6,22],"various":[7],"applications":[8],"in":[9,27,41,45,49,68,101],"autonomous":[10],"driving,":[11],"robotics,":[12],"and":[13,35,82],"localization.":[14],"However,":[15],"existing":[16],"methods":[17],"have":[18],"not":[19],"adequately":[20],"accounted":[21],"weakly":[23,69,102],"structured":[24,70,103],"texture":[25,71,104],"scenes":[26,72,105],"urban":[28,42,74],"environments,":[29,75],"such":[30],"as":[31],"long-distance":[32],"monotonous":[33],"walls":[34],"open":[36],"roads,":[37],"which":[38],"are":[39],"prevalent":[40],"environments.":[43],"Failures":[44],"these":[50],"scenarios":[51],"can":[52],"significantly":[53],"affect":[54],"the":[55,58,65,94,107],"performance":[56],"of":[57,73],"aforementioned":[59],"applications.":[60],"In":[61],"order":[62],"to":[63],"improve":[64],"accuracy":[67,100],"we":[76],"propose":[77],"a":[78],"novel":[79],"mismatch":[80],"elimination":[81],"an":[83],"improved":[84],"sample":[85],"consensus":[86],"method.":[88],"The":[89],"experimental":[90],"results":[91],"demonstrate":[92],"that":[93],"proposed":[95],"method":[96],"achieves":[97],"higher":[98],"than":[106],"compared":[108],"methods.":[109]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}