{"id":"https://openalex.org/W4401415598","doi":"https://doi.org/10.1109/icra57147.2024.10611542","title":"Active Implicit Reconstruction Using One-Shot View Planning","display_name":"Active Implicit Reconstruction Using One-Shot View Planning","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4401415598","doi":"https://doi.org/10.1109/icra57147.2024.10611542"},"language":"en","primary_location":{"id":"doi:10.1109/icra57147.2024.10611542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10611542","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/A5100600908","display_name":"Hao Hu","orcid":"https://orcid.org/0000-0002-8859-0986"},"institutions":[{"id":"https://openalex.org/I4210094487","display_name":"Intel (Germany)","ror":"https://ror.org/00m2x0g47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210094487"]},{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Hao Hu","raw_affiliation_strings":["University of Bonn,Intel Asia-Pacific Research &amp; Development Ltd,Germany"],"affiliations":[{"raw_affiliation_string":"University of Bonn,Intel Asia-Pacific Research &amp; Development Ltd,Germany","institution_ids":["https://openalex.org/I4210094487","https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079893673","display_name":"Sicong Pan","orcid":"https://orcid.org/0000-0003-1994-4266"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sicong Pan","raw_affiliation_strings":["University of Bonn,Humanoid Robots Lab,Germany"],"affiliations":[{"raw_affiliation_string":"University of Bonn,Humanoid Robots Lab,Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103533916","display_name":"Liren Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Liren Jin","raw_affiliation_strings":["University of Bonn,Institute of Geodesy and Geoinformation,Germany"],"affiliations":[{"raw_affiliation_string":"University of Bonn,Institute of Geodesy and Geoinformation,Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072802898","display_name":"Marija Popovi\u0107","orcid":"https://orcid.org/0000-0002-8830-6033"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marija Popovi\u0107","raw_affiliation_strings":["University of Bonn,Institute of Geodesy and Geoinformation,Germany"],"affiliations":[{"raw_affiliation_string":"University of Bonn,Institute of Geodesy and Geoinformation,Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103231515","display_name":"Maren Bennewitz","orcid":"https://orcid.org/0000-0003-4343-3028"},"institutions":[{"id":"https://openalex.org/I4387154616","display_name":"Lamarr Institute for Machine Learning and Artificial Intelligence","ror":"https://ror.org/04s11ea33","country_code":null,"type":"facility","lineage":["https://openalex.org/I135140700","https://openalex.org/I200332995","https://openalex.org/I4210098062","https://openalex.org/I4210144576","https://openalex.org/I4387154616","https://openalex.org/I4923324","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maren Bennewitz","raw_affiliation_strings":["Lamarr Institute for Machine Learning and Artificial Intelligence,Germany"],"affiliations":[{"raw_affiliation_string":"Lamarr Institute for Machine Learning and Artificial Intelligence,Germany","institution_ids":["https://openalex.org/I4387154616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100600908"],"corresponding_institution_ids":["https://openalex.org/I135140700","https://openalex.org/I4210094487"],"apc_list":null,"apc_paid":null,"fwci":1.5572,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.85072507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"12477","last_page":"12483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9980999827384949,"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":0.9980999827384949,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9969000220298767,"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7285263538360596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6475445032119751},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49628549814224243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4419058561325073},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.4133402407169342},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.33346042037010193},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1115255057811737},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06840384006500244},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.06787863373756409}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7285263538360596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6475445032119751},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49628549814224243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4419058561325073},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4133402407169342},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.33346042037010193},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1115255057811737},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06840384006500244},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.06787863373756409},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra57147.2024.10611542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10611542","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":"Sustainable cities and communities","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1969186119","https://openalex.org/W1989823960","https://openalex.org/W1999284314","https://openalex.org/W2033483472","https://openalex.org/W2121535648","https://openalex.org/W2129652899","https://openalex.org/W2133844819","https://openalex.org/W2472138074","https://openalex.org/W2582849885","https://openalex.org/W2605843382","https://openalex.org/W2613333231","https://openalex.org/W2917442576","https://openalex.org/W2963627347","https://openalex.org/W3009018472","https://openalex.org/W3011972190","https://openalex.org/W3046735138","https://openalex.org/W3109585842","https://openalex.org/W3117476483","https://openalex.org/W3128478003","https://openalex.org/W3131818940","https://openalex.org/W3172407388","https://openalex.org/W3197617697","https://openalex.org/W3203898101","https://openalex.org/W4205415842","https://openalex.org/W4205890845","https://openalex.org/W4206060409","https://openalex.org/W4282589130","https://openalex.org/W4285102582","https://openalex.org/W4309771864","https://openalex.org/W4310895557","https://openalex.org/W4312597904","https://openalex.org/W4313201661","https://openalex.org/W4313887267","https://openalex.org/W4383108793","https://openalex.org/W4385245566","https://openalex.org/W4385938234","https://openalex.org/W4389666779","https://openalex.org/W4389667206","https://openalex.org/W4389667674","https://openalex.org/W4394671432","https://openalex.org/W6631711059","https://openalex.org/W6652231383","https://openalex.org/W6687484953","https://openalex.org/W6805042473"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Active":[0],"object":[1,23,193],"reconstruction":[2,171,194],"using":[3,150],"autonomous":[4],"robots":[5],"is":[6,16,95],"gaining":[7],"great":[8],"interest.":[9],"A":[10],"primary":[11],"goal":[12],"in":[13,68,190],"this":[14],"task":[15],"to":[17,24,54,79,96,100,123],"maximize":[18],"the":[19,22,55,84,102,185],"information":[20],"of":[21,49,65,70,108,128,187],"be":[25],"reconstructed,":[26],"given":[27,130],"limited":[28,177],"on-board":[29],"resources.":[30],"Previous":[31],"view":[32,57,178],"planning":[33,51],"methods":[34],"exhibit":[35],"inefficiency":[36],"since":[37],"they":[38],"rely":[39],"on":[40,45],"an":[41,137],"iterative":[42],"paradigm":[43],"based":[44],"explicit":[46],"representations,":[47],"consisting":[48],"(1)":[50],"a":[52,62,117,126,131,191],"path":[53],"next-best":[56],"only;":[58],"and":[59,158,179],"(2)":[60],"requiring":[61],"considerable":[63],"number":[64],"less-gain":[66],"views":[67,129],"terms":[69],"surface":[71,105],"coverage.":[72],"To":[73,141],"address":[74],"these":[75],"limitations,":[76],"we":[77,115,146],"propose":[78],"integrate":[80],"implicit":[81,98,156],"representations":[82,99,157],"into":[83],"One-Shot":[85],"View":[86],"Planning":[87],"(OSVP).":[88],"The":[89],"key":[90],"idea":[91],"behind":[92],"our":[93,143,167,188],"approach":[94,189],"use":[97],"obtain":[101],"small":[103],"missing":[104],"areas":[106],"instead":[107],"observing":[109],"them":[110],"with":[111],"extra":[112],"views.":[113],"Therefore,":[114],"design":[116],"deep":[118],"neural":[119],"network,":[120,145],"named":[121],"OSVP,":[122],"directly":[124],"predict":[125],"set":[127,159],"dense":[132,151],"point":[133,152],"cloud":[134],"refined":[135,154],"from":[136],"initial":[138],"sparse":[139],"observation.":[140],"train":[142],"OSVP":[144],"generate":[147],"supervision":[148],"labels":[149],"clouds":[153],"by":[155],"covering":[160],"optimization":[161],"problems.":[162],"Simulated":[163],"experiments":[164],"show":[165],"that":[166],"method":[168],"achieves":[169],"sufficient":[170],"quality,":[172],"outperforming":[173],"several":[174],"baselines":[175],"under":[176],"movement":[180],"budgets.":[181],"We":[182],"further":[183],"demonstrate":[184],"applicability":[186],"real-world":[192],"scenario.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
