{"id":"https://openalex.org/W4399674157","doi":"https://doi.org/10.3390/rs16122161","title":"VALNet: Vision-Based Autonomous Landing with Airport Runway Instance Segmentation","display_name":"VALNet: Vision-Based Autonomous Landing with Airport Runway Instance Segmentation","publication_year":2024,"publication_date":"2024-06-14","ids":{"openalex":"https://openalex.org/W4399674157","doi":"https://doi.org/10.3390/rs16122161"},"language":"en","primary_location":{"id":"doi:10.3390/rs16122161","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16122161","pdf_url":"https://www.mdpi.com/2072-4292/16/12/2161/pdf?version=1718363580","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/2072-4292/16/12/2161/pdf?version=1718363580","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100730797","display_name":"Wang Qiang","orcid":"https://orcid.org/0009-0003-2154-228X"},"institutions":[{"id":"https://openalex.org/I4210149517","display_name":"Chengdu Academy of Agriculture and Forestry Sciences","ror":"https://ror.org/05s6v6872","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210149517"]},{"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":"Qiang Wang","raw_affiliation_strings":["Department of Electrics and Information Engineering, Beihang University, Beijing 100191, China","UAV Industry Academy, Chengdu Aeronautic Polytechnic, Chengdu 610100, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrics and Information Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"UAV Industry Academy, Chengdu Aeronautic Polytechnic, Chengdu 610100, China","institution_ids":["https://openalex.org/I4210149517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021436519","display_name":"Wenquan Feng","orcid":"https://orcid.org/0009-0003-3037-4062"},"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":"Wenquan Feng","raw_affiliation_strings":["Department of Electrics and Information Engineering, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrics and Information Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011270130","display_name":"Hongbo Zhao","orcid":"https://orcid.org/0000-0002-1196-4089"},"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":"Hongbo Zhao","raw_affiliation_strings":["Department of Electrics and Information Engineering, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrics and Information Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052052722","display_name":"Binghao Liu","orcid":"https://orcid.org/0000-0001-6590-0016"},"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":"Binghao Liu","raw_affiliation_strings":["Department of Electrics and Information Engineering, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrics and Information Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029244560","display_name":"Shuchang Lyu","orcid":"https://orcid.org/0000-0001-9769-7083"},"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":"Shuchang Lyu","raw_affiliation_strings":["Department of Electrics and Information Engineering, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrics and Information Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011270130"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":4.1648,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.95161822,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"16","issue":"12","first_page":"2161","last_page":"2161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9979000091552734,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11489","display_name":"Air Traffic Management and Optimization","score":0.9796000123023987,"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/runway","display_name":"Runway","score":0.9305335283279419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.768954873085022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6810816526412964},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6654360294342041},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.653536856174469},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4190228581428528},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09937497973442078}],"concepts":[{"id":"https://openalex.org/C81155309","wikidata":"https://www.wikidata.org/wiki/Q184590","display_name":"Runway","level":2,"score":0.9305335283279419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.768954873085022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6810816526412964},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6654360294342041},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.653536856174469},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4190228581428528},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09937497973442078},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16122161","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16122161","pdf_url":"https://www.mdpi.com/2072-4292/16/12/2161/pdf?version=1718363580","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:34ab7a5800004d64821fffd9d25d2b80","is_oa":true,"landing_page_url":"https://doaj.org/article/34ab7a5800004d64821fffd9d25d2b80","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 16, Iss 12, p 2161 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16122161","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16122161","pdf_url":"https://www.mdpi.com/2072-4292/16/12/2161/pdf?version=1718363580","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/G2127118556","display_name":null,"funder_award_id":"61901015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2582999214","display_name":null,"funder_award_id":"2022ZHCG0060","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399674157.pdf"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2027282554","https://openalex.org/W2062086960","https://openalex.org/W2395611524","https://openalex.org/W2486449641","https://openalex.org/W2555182955","https://openalex.org/W2557889580","https://openalex.org/W2570343428","https://openalex.org/W2586478859","https://openalex.org/W2591260209","https://openalex.org/W2768701690","https://openalex.org/W2791595915","https://openalex.org/W2800822850","https://openalex.org/W2810389956","https://openalex.org/W2894142964","https://openalex.org/W2907257350","https://openalex.org/W2920326761","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2979845374","https://openalex.org/W2982161360","https://openalex.org/W2982770724","https://openalex.org/W2991405684","https://openalex.org/W2993182889","https://openalex.org/W2996821647","https://openalex.org/W2997496257","https://openalex.org/W3005101464","https://openalex.org/W3006871679","https://openalex.org/W3034826836","https://openalex.org/W3047032303","https://openalex.org/W3092444750","https://openalex.org/W3111278072","https://openalex.org/W3113410735","https://openalex.org/W3126358756","https://openalex.org/W3128936929","https://openalex.org/W3136792391","https://openalex.org/W3160485208","https://openalex.org/W3202822038","https://openalex.org/W3204397803","https://openalex.org/W3210586215","https://openalex.org/W3214007456","https://openalex.org/W4206982465","https://openalex.org/W4214480252","https://openalex.org/W4226428996","https://openalex.org/W4285819825","https://openalex.org/W4300409080","https://openalex.org/W4308123688","https://openalex.org/W4312815172","https://openalex.org/W4318827163","https://openalex.org/W4328125637","https://openalex.org/W4366716756","https://openalex.org/W4385606539","https://openalex.org/W4386076325","https://openalex.org/W4388562012","https://openalex.org/W4389010882","https://openalex.org/W4389336925","https://openalex.org/W4391130239","https://openalex.org/W4393014570","https://openalex.org/W4398756379","https://openalex.org/W6692295019","https://openalex.org/W6794960497"],"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":{"Visual":[0],"navigation,":[1],"characterized":[2],"by":[3],"its":[4],"autonomous":[5,20,107,212],"capabilities,":[6],"cost":[7],"effectiveness,":[8],"and":[9,36,93,177,187],"robust":[10],"resistance":[11],"to":[12,125,142,151],"interference,":[13],"serves":[14],"as":[15],"the":[16,68,88,123,148,163,175,182,195,204],"foundation":[17],"for":[18,40],"vision-based":[19,106,211],"landing":[21,108,213],"systems.":[22,214],"These":[23],"systems":[24],"rely":[25],"heavily":[26],"on":[27,51,78,84,159],"runway":[28,34,52,57,79,99,198],"instance":[29,58,80,100,199],"segmentation,":[30],"which":[31],"accurately":[32],"divides":[33],"areas":[35],"provides":[37],"precise":[38],"information":[39,129,146],"unmanned":[41],"aerial":[42],"vehicle":[43],"(UAV)":[44],"navigation.":[45],"However,":[46],"current":[47],"research":[48,64,191],"primarily":[49],"focuses":[50,77],"detection":[53],"but":[54,201],"lacks":[55],"relevant":[56],"segmentation":[59,81,101,109,200],"datasets.":[60],"To":[61,86],"address":[62],"this":[63],"gap,":[65],"we":[66,103],"created":[67],"Runway":[69],"Landing":[70],"Dataset":[71],"(RLD),":[72],"a":[73,105,117,139],"benchmark":[74],"dataset":[75],"that":[76,112,162],"mainly":[82],"based":[83],"X-Plane.":[85],"overcome":[87],"challenges":[89],"of":[90,138,179,184,197,208],"large-scale":[91,185],"changes":[92,186],"input":[94,153],"image":[95,154],"angle":[96,188],"differences":[97],"in":[98,181,210],"tasks,":[102],"propose":[104],"network":[110],"(VALNet)":[111],"uses":[113],"band-pass":[114],"filters,":[115],"where":[116],"Context":[118],"Enhancement":[119],"Module":[120,136],"(CEM)":[121],"guides":[122],"model":[124],"learn":[126],"adaptive":[127],"\u201cband\u201d":[128],"through":[130],"heatmaps,":[131],"while":[132],"an":[133],"Orientation":[134],"Adaptation":[135],"(OAM)":[137],"triple-channel":[140],"architecture":[141],"fully":[143],"utilize":[144],"rotation":[145,155],"enhances":[147],"model\u2019s":[149],"ability":[150],"capture":[152],"transformations.":[156],"Extensive":[157],"experiments":[158],"RLD":[160,216],"demonstrate":[161],"new":[164],"method":[165],"has":[166],"significantly":[167],"improved":[168],"performance.":[169],"The":[170],"visualization":[171],"results":[172],"further":[173],"confirm":[174],"effectiveness":[176],"interpretability":[178],"VALNet":[180,209],"face":[183],"differences.":[189],"This":[190],"not":[192],"only":[193],"advances":[194],"development":[196],"also":[202],"highlights":[203],"potential":[205],"application":[206],"value":[207],"Additionally,":[215],"is":[217],"publicly":[218],"available.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}