{"id":"https://openalex.org/W4311806088","doi":"https://doi.org/10.1145/3550454.3555433","title":"Learning Reconstructability for Drone Aerial Path Planning","display_name":"Learning Reconstructability for Drone Aerial Path Planning","publication_year":2022,"publication_date":"2022-11-30","ids":{"openalex":"https://openalex.org/W4311806088","doi":"https://doi.org/10.1145/3550454.3555433"},"language":"en","primary_location":{"id":"doi:10.1145/3550454.3555433","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3550454.3555433","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-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/A5100729744","display_name":"Yilin Liu","orcid":"https://orcid.org/0000-0001-7336-1956"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilin Liu","raw_affiliation_strings":["Shenzhen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085746619","display_name":"Liqiang Lin","orcid":"https://orcid.org/0000-0003-2594-6495"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqiang Lin","raw_affiliation_strings":["Shenzhen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014797090","display_name":"Yue Hu","orcid":"https://orcid.org/0000-0002-8455-0805"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Hu","raw_affiliation_strings":["Shenzhen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101860508","display_name":"Ke Xie","orcid":"https://orcid.org/0000-0001-5974-5224"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Xie","raw_affiliation_strings":["Shenzhen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054382056","display_name":"Chi\u2010Wing Fu","orcid":"https://orcid.org/0000-0002-5238-593X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chi-Wing Fu","raw_affiliation_strings":["The Chinese University of Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397026","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0003-1991-119X"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["Simon Fraser University, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034304352","display_name":"Hui Huang","orcid":"https://orcid.org/0000-0003-3212-0544"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Huang","raw_affiliation_strings":["Shenzhen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.8517,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.98366209,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"41","issue":"6","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.7600500583648682},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.7426563501358032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6354663372039795},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5869180560112},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5684176683425903},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5574865341186523},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5537051558494568},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5110255479812622},{"id":"https://openalex.org/keywords/planner","display_name":"Planner","score":0.49581465125083923},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.454402893781662},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45364993810653687},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.4172937572002411},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37982264161109924},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.10808765888214111}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7600500583648682},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.7426563501358032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6354663372039795},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5869180560112},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5684176683425903},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5574865341186523},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5537051558494568},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5110255479812622},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.49581465125083923},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.454402893781662},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45364993810653687},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.4172937572002411},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37982264161109924},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.10808765888214111},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3550454.3555433","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3550454.3555433","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G400492318","display_name":null,"funder_award_id":"62161146005, U21B2023, U2001206","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2008706659","https://openalex.org/W2738551266","https://openalex.org/W2810956809","https://openalex.org/W2892614179","https://openalex.org/W2902410914","https://openalex.org/W2949080211","https://openalex.org/W2954649738","https://openalex.org/W2962849139","https://openalex.org/W2963054668","https://openalex.org/W2967263486","https://openalex.org/W2973864946","https://openalex.org/W3034530552","https://openalex.org/W3047628358","https://openalex.org/W3096609285","https://openalex.org/W3096678291","https://openalex.org/W3100948105","https://openalex.org/W3106783908","https://openalex.org/W3109585842","https://openalex.org/W3112432113","https://openalex.org/W3160589050","https://openalex.org/W3195447886","https://openalex.org/W4200394373","https://openalex.org/W4200521614","https://openalex.org/W4294577175","https://openalex.org/W4297846303","https://openalex.org/W4312253793","https://openalex.org/W4312842946"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W4229448053","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W93537448","https://openalex.org/W4247925126","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W2949734191","https://openalex.org/W2017333877"],"abstract_inverted_index":{"We":[0,150],"introduce":[1],"the":[2,65,75,78,87,94,121,128,141,146,162,196,204],"first":[3,119],"learning-based":[4],"reconstructability":[5,89,155],"predictor":[6,173],"to":[7,24,59,72,85,144,161,182],"improve":[8],"view":[9,191],"and":[10,56,102,132,199,211],"path":[11,61,148,180],"planning":[12,192],"for":[13],"large-scale":[14],"3D":[15,39,67,122],"urban":[16,40,116],"scene":[17,41,68,88,107,123],"acquisition":[18],"using":[19],"unmanned":[20],"drones.":[21],"In":[22],"contrast":[23],"previous":[25],"heuristic":[26,168],"approaches,":[27],"our":[28,136,153,171],"method":[29],"learns":[30],"a":[31,38,46,53,91,98,104,114,188],"model":[32,54],"that":[33,152],"explicitly":[34],"predicts":[35],"how":[36],"well":[37],"will":[42],"be":[43,175],"reconstructed":[44],"from":[45],"set":[47,73,99],"of":[48,93,100,106,140,203],"viewpoints.":[49],"To":[50,112],"make":[51],"such":[52],"trainable":[55],"simultaneously":[57],"applicable":[58],"drone":[60,147],"planning,":[62],"we":[63,81,118,186],"simulate":[64],"proxy-based":[66],"reconstruction":[69,130,164],"during":[70],"training":[71],"up":[74],"prediction.":[76],"Specifically,":[77],"neural":[79],"network":[80],"design":[82],"is":[83],"trained":[84],"predict":[86],"as":[90],"function":[92],"proxy":[95,142],"geometry":[96],",":[97],"viewpoints,":[101],"optionally":[103],"series":[105],"images":[108],"acquired":[109],"in":[110],"flight.":[111],"reconstruct":[113],"new":[115,189,205],"scene,":[117],"build":[120],"proxy,":[124],"then":[125],"rely":[126],"on":[127,195],"predicted":[129],"quality":[131,165],"uncertainty":[133],"measures":[134],"by":[135],"network,":[137],"based":[138,194],"off":[139],"geometry,":[143],"guide":[145],"planning.":[149],"demonstrate":[151],"data-driven":[154],"predictions":[156],"are":[157],"more":[158],"closely":[159],"correlated":[160],"true":[163],"than":[166],"prior":[167],"measures.":[169],"Further,":[170],"learned":[172,197],"can":[174],"easily":[176],"integrated":[177],"into":[178],"existing":[179],"planners":[181],"yield":[183],"improvements.":[184],"Finally,":[185],"devise":[187],"iterative":[190],"framework,":[193],"reconstructability,":[198],"show":[200],"superior":[201],"performance":[202],"planner":[206],"when":[207],"reconstructing":[208],"both":[209],"synthetic":[210],"real":[212],"scenes.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}