{"id":"https://openalex.org/W4401416978","doi":"https://doi.org/10.1109/icra57147.2024.10611137","title":"Neural Radiance Fields for Unbounded Lunar Surface Scene","display_name":"Neural Radiance Fields for Unbounded Lunar Surface Scene","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4401416978","doi":"https://doi.org/10.1109/icra57147.2024.10611137"},"language":"en","primary_location":{"id":"doi:10.1109/icra57147.2024.10611137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10611137","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":"article","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/A5115594491","display_name":"Xu Zhang","orcid":"https://orcid.org/0000-0002-7909-9378"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Zhang","raw_affiliation_strings":["Beihang University,Image Processing Center, School of Astronautics"],"affiliations":[{"raw_affiliation_string":"Beihang University,Image Processing Center, School of Astronautics","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061929348","display_name":"Linyan Cui","orcid":"https://orcid.org/0000-0002-4176-482X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linyan Cui","raw_affiliation_strings":["Beihang University,Image Processing Center, School of Astronautics"],"affiliations":[{"raw_affiliation_string":"Beihang University,Image Processing Center, School of Astronautics","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068122673","display_name":"Jihao Yin","orcid":"https://orcid.org/0000-0002-6773-0193"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihao Yin","raw_affiliation_strings":["Beihang University,Image Processing Center, School of Astronautics"],"affiliations":[{"raw_affiliation_string":"Beihang University,Image Processing Center, School of Astronautics","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5115594491"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.7786,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78766911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"16858","last_page":"16864"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9901999831199646,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9901999831199646,"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/T10406","display_name":"Planetary Science and Exploration","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9708999991416931,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.8903766870498657},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5505672693252563},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.5291149020195007},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4207722842693329},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.38571876287460327},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.37879475951194763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3590430021286011},{"id":"https://openalex.org/keywords/astrobiology","display_name":"Astrobiology","score":0.3220027685165405},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.298885315656662},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.24479752779006958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1400565505027771},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13321590423583984}],"concepts":[{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.8903766870498657},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5505672693252563},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5291149020195007},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4207722842693329},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.38571876287460327},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.37879475951194763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3590430021286011},{"id":"https://openalex.org/C87355193","wikidata":"https://www.wikidata.org/wiki/Q411","display_name":"Astrobiology","level":1,"score":0.3220027685165405},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.298885315656662},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.24479752779006958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1400565505027771},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13321590423583984}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra57147.2024.10611137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10611137","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":[{"id":"https://metadata.un.org/sdg/13","score":0.6600000262260437,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2071616405","https://openalex.org/W2110517631","https://openalex.org/W2167687475","https://openalex.org/W2205172244","https://openalex.org/W2250172176","https://openalex.org/W2336961836","https://openalex.org/W2471962767","https://openalex.org/W2519683295","https://openalex.org/W2535547924","https://openalex.org/W2949657144","https://openalex.org/W2963739349","https://openalex.org/W2964288609","https://openalex.org/W3092203888","https://openalex.org/W3092948912","https://openalex.org/W3102327032","https://openalex.org/W3112108866","https://openalex.org/W3136656704","https://openalex.org/W3153220274","https://openalex.org/W3154129649","https://openalex.org/W3177583232","https://openalex.org/W3203570626","https://openalex.org/W3215589927","https://openalex.org/W3215769467","https://openalex.org/W3216476011","https://openalex.org/W4200150166","https://openalex.org/W4214564845","https://openalex.org/W4214748949","https://openalex.org/W4221151978","https://openalex.org/W4312234520","https://openalex.org/W4312325284","https://openalex.org/W4312424959","https://openalex.org/W4312514007","https://openalex.org/W4312969460","https://openalex.org/W4321512716","https://openalex.org/W4383066269","https://openalex.org/W4383108551","https://openalex.org/W4386075959","https://openalex.org/W4386076472","https://openalex.org/W4390872696","https://openalex.org/W6781421651","https://openalex.org/W6784492152"],"related_works":["https://openalex.org/W2896728493","https://openalex.org/W2392142157","https://openalex.org/W2043512367","https://openalex.org/W4321518006","https://openalex.org/W2331836163","https://openalex.org/W1994657804","https://openalex.org/W2005276308","https://openalex.org/W1970182911","https://openalex.org/W2157702764","https://openalex.org/W2508448752"],"abstract_inverted_index":{"Accurate":[0],"understanding":[1],"of":[2,14,30,74,105,119,123],"lunar":[3,15,32,51,107,124],"surface":[4],"topography":[5],"is":[6,117],"vital":[7],"for":[8],"effective":[9],"decision-making":[10],"and":[11,58,77],"remote":[12],"control":[13],"rovers":[16],"during":[17],"exploration":[18],"missions.":[19],"Conventional":[20],"sensing":[21],"methods":[22],"often":[23],"struggle":[24],"to":[25,44,80,95],"capture":[26],"the":[27,31,49,72,97,102,106],"intricate":[28],"details":[29],"landscape.":[33],"In":[34],"response,":[35],"we":[36,90,111],"propose":[37],"an":[38],"innovative":[39],"approach":[40,64],"that":[41,114],"leverages":[42],"NeRF":[43],"synthesize":[45],"new":[46],"viewpoints":[47],"within":[48],"expansive":[50],"environment.":[52,108],"By":[53],"blending":[54],"3D":[55],"hash":[56],"grids":[57,61],"2D":[59],"plane":[60],"representations,":[62],"our":[63,115],"provides":[65],"a":[66],"comprehensive":[67],"scene":[68],"representation.":[69],"We":[70],"employ":[71],"technique":[73],"spiral":[75],"sampling":[76],"feature":[78],"rendering":[79,82],"enhance":[81],"quality":[83],"while":[84],"simultaneously":[85],"reducing":[86],"training":[87],"time.":[88],"Additionally,":[89],"leverage":[91],"sparse":[92],"point":[93],"cloud":[94],"aid":[96],"model":[98],"in":[99],"better":[100],"learning":[101],"geometric":[103],"structure":[104],"Through":[109],"experimentation,":[110],"have":[112],"demonstrated":[113],"method":[116],"capable":[118],"synthesizing":[120],"realistic":[121],"images":[122],"environments.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
