{"id":"https://openalex.org/W3208070661","doi":"https://doi.org/10.1109/ecmr50962.2021.9568802","title":"Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos","display_name":"Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3208070661","doi":"https://doi.org/10.1109/ecmr50962.2021.9568802","mag":"3208070661"},"language":"en","primary_location":{"id":"doi:10.1109/ecmr50962.2021.9568802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecmr50962.2021.9568802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 European Conference on Mobile Robots (ECMR)","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/A5045637290","display_name":"Lei Sun","orcid":"https://orcid.org/0000-0001-7310-5565"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Sun","raw_affiliation_strings":["State Key Laboratory of Optical Instrumentation, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Optical Instrumentation, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068877878","display_name":"Jia Wang","orcid":"https://orcid.org/0000-0002-5627-7311"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Wang","raw_affiliation_strings":["State Key Laboratory of Optical Instrumentation, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Optical Instrumentation, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027010844","display_name":"Kailun Yang","orcid":"https://orcid.org/0000-0002-1090-667X"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kailun Yang","raw_affiliation_strings":["Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101962641","display_name":"Kaikai Wu","orcid":"https://orcid.org/0000-0002-4087-9625"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaikai Wu","raw_affiliation_strings":["State Key Laboratory of Optical Instrumentation, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Optical Instrumentation, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090238197","display_name":"Xiangdong Zhou","orcid":"https://orcid.org/0000-0002-4451-5327"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangdong Zhou","raw_affiliation_strings":["State Key Laboratory of Optical Instrumentation, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Optical Instrumentation, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018263416","display_name":"Kaiwei Wang","orcid":"https://orcid.org/0000-0002-8272-3119"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiwei Wang","raw_affiliation_strings":["State Key Laboratory of Optical Instrumentation, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Optical Instrumentation, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100773961","display_name":"Jian Bai","orcid":"https://orcid.org/0000-0002-5128-2146"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Bai","raw_affiliation_strings":["State Key Laboratory of Optical Instrumentation, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Optical Instrumentation, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0503,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.85560524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8082518577575684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7923398613929749},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7806938886642456},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.7039622068405151},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6917930841445923},{"id":"https://openalex.org/keywords/field-of-view","display_name":"Field of view","score":0.4729822874069214},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4719371497631073},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.4147942066192627},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.41194140911102295},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15409433841705322}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8082518577575684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7923398613929749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7806938886642456},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.7039622068405151},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6917930841445923},{"id":"https://openalex.org/C150627866","wikidata":"https://www.wikidata.org/wiki/Q1076893","display_name":"Field of view","level":2,"score":0.4729822874069214},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4719371497631073},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.4147942066192627},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.41194140911102295},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15409433841705322},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ecmr50962.2021.9568802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecmr50962.2021.9568802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 European Conference on Mobile Robots (ECMR)","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":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1601105438","https://openalex.org/W1677182931","https://openalex.org/W1903029394","https://openalex.org/W2000937905","https://openalex.org/W2023138554","https://openalex.org/W2074526359","https://openalex.org/W2107738794","https://openalex.org/W2117539524","https://openalex.org/W2143425822","https://openalex.org/W2150023056","https://openalex.org/W2179352600","https://openalex.org/W2194775991","https://openalex.org/W2340456668","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2419448466","https://openalex.org/W2560023338","https://openalex.org/W2790482089","https://openalex.org/W2897373036","https://openalex.org/W2963263347","https://openalex.org/W2963419596","https://openalex.org/W2964121744","https://openalex.org/W2972887266","https://openalex.org/W2974687854","https://openalex.org/W2994928078","https://openalex.org/W3042173136","https://openalex.org/W3088884252","https://openalex.org/W3090843930","https://openalex.org/W3098722327","https://openalex.org/W3101896960","https://openalex.org/W3107532885","https://openalex.org/W3111513889","https://openalex.org/W3120306591","https://openalex.org/W3122445164","https://openalex.org/W3135331138","https://openalex.org/W3145547920","https://openalex.org/W3170279373","https://openalex.org/W3175849542","https://openalex.org/W4231245891","https://openalex.org/W4293406525","https://openalex.org/W6631190155","https://openalex.org/W6682244104","https://openalex.org/W6717372056","https://openalex.org/W6726497184","https://openalex.org/W6760968984","https://openalex.org/W6773982183","https://openalex.org/W6783283814","https://openalex.org/W6788360873","https://openalex.org/W6789654255","https://openalex.org/W6791578904","https://openalex.org/W6791851500"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W4400597516"],"abstract_inverted_index":{"Aerial":[0,15],"pixel-wise":[1],"scene":[2,95,105,132],"perception":[3],"of":[4,40,69,112,120],"the":[5,29,48,67,101,124],"surrounding":[6],"environment":[7],"is":[8,88],"an":[9,140],"important":[10],"task":[11],"for":[12],"UAVs":[13],"(Unmanned":[14],"Vehicles).":[16],"Previous":[17],"research":[18],"works":[19],"mainly":[20],"adopt":[21],"conventional":[22],"pinhole":[23],"cameras":[24,27],"or":[25],"fisheye":[26],"as":[28],"imaging":[30,34],"device.":[31],"However,":[32],"these":[33],"systems":[35],"cannot":[36],"achieve":[37,91],"large":[38],"Field":[39],"View":[41],"(FoV),":[42],"small":[43,70],"size,":[44,71],"and":[45,74,93,115,146,154],"lightweight":[46,80],"at":[47],"same":[49],"time.":[50],"To":[51],"this":[52],"end,":[53],"we":[54,99],"design":[55],"a":[56,60,75],"UAV":[57],"system":[58,126],"with":[59,109],"Panoramic":[61],"Annular":[62],"Lens":[63],"(PAL),":[64],"which":[65],"has":[66],"characteristics":[68],"low":[72],"weight,":[73],"360\u00b0":[76],"annular":[77,82],"FoV.":[78],"A":[79,117],"panoramic":[81,104,131],"semantic":[83],"segmentation":[84,106,144],"neural":[85],"network":[86],"model":[87,138],"designed":[89,125],"to":[90],"high-accuracy":[92],"real-time":[94],"parsing.":[96,133],"In":[97,134],"addition,":[98],"present":[100],"first":[102],"drone-perspective":[103],"dataset":[107],"Aerial-PASS,":[108],"annotated":[110],"labels":[111],"track,":[113],"field,":[114],"others.":[116],"comprehensive":[118],"variety":[119],"experiments":[121],"shows":[122],"that":[123],"performs":[127],"satisfactorily":[128],"in":[129],"aerial":[130],"particular,":[135],"our":[136,155],"proposed":[137],"strikes":[139],"excellent":[141],"trade-off":[142],"between":[143],"performance":[145],"inference":[147],"speed,":[148],"validated":[149],"on":[150],"both":[151],"public":[152],"street-scene":[153],"established":[156],"aerial-scene":[157],"datasets.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}