{"id":"https://openalex.org/W4410772454","doi":"https://doi.org/10.1145/3727353.3727480","title":"A survey on oriented object detection for aerial power inspection","display_name":"A survey on oriented object detection for aerial power inspection","publication_year":2025,"publication_date":"2025-01-10","ids":{"openalex":"https://openalex.org/W4410772454","doi":"https://doi.org/10.1145/3727353.3727480"},"language":"en","primary_location":{"id":"doi:10.1145/3727353.3727480","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727480","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727480","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727480","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024426310","display_name":"Lihong Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111970","display_name":"Fujian Electric Power Survey & Design Institute","ror":"https://ror.org/0233jyt67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210111970"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihong Xu","raw_affiliation_strings":["Putian Power Supply Company, State Grid Fujian Electric Power Company Ltd., Putian, Fujian, China"],"raw_orcid":"https://orcid.org/0009-0003-1365-6383","affiliations":[{"raw_affiliation_string":"Putian Power Supply Company, State Grid Fujian Electric Power Company Ltd., Putian, Fujian, China","institution_ids":["https://openalex.org/I4210111970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117711871","display_name":"Zhengye Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111970","display_name":"Fujian Electric Power Survey & Design Institute","ror":"https://ror.org/0233jyt67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210111970"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengye Zheng","raw_affiliation_strings":["Putian Power Supply Company, State Grid Fujian Electric Power Company Ltd., Putian, Fujian, China"],"raw_orcid":"https://orcid.org/0009-0009-8588-3511","affiliations":[{"raw_affiliation_string":"Putian Power Supply Company, State Grid Fujian Electric Power Company Ltd., Putian, Fujian, China","institution_ids":["https://openalex.org/I4210111970"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064143503","display_name":"Xinyu Liu","orcid":"https://orcid.org/0000-0002-6855-4734"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Liu","raw_affiliation_strings":["College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian, China"],"raw_orcid":"https://orcid.org/0000-0002-6855-4734","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9349,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74804767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"792","last_page":"799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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":0.9986000061035156,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9929999709129333,"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/object-detection","display_name":"Object detection","score":0.5799492597579956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5761139392852783},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5405368804931641},{"id":"https://openalex.org/keywords/aerial-survey","display_name":"Aerial survey","score":0.46714848279953003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4575033485889435},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45638683438301086},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32703685760498047},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.190553218126297},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1863054633140564}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5799492597579956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5761139392852783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5405368804931641},{"id":"https://openalex.org/C176262533","wikidata":"https://www.wikidata.org/wiki/Q4688034","display_name":"Aerial survey","level":2,"score":0.46714848279953003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4575033485889435},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45638683438301086},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32703685760498047},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.190553218126297},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1863054633140564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3727353.3727480","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727480","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727480","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3727353.3727480","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727480","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727480","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320317218","display_name":"State Grid Fujian Electric Power Company","ror":null},{"id":"https://openalex.org/F4320335967","display_name":"Science and Technology Project of State Grid","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410772454.pdf","grobid_xml":"https://content.openalex.org/works/W4410772454.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W2186222003","https://openalex.org/W2593539516","https://openalex.org/W2602856279","https://openalex.org/W2884561390","https://openalex.org/W2887463361","https://openalex.org/W2964979676","https://openalex.org/W2966307781","https://openalex.org/W2989678931","https://openalex.org/W2991363140","https://openalex.org/W3026695803","https://openalex.org/W3034993937","https://openalex.org/W3042634770","https://openalex.org/W3100234280","https://openalex.org/W3106228955","https://openalex.org/W3109055651","https://openalex.org/W3119512662","https://openalex.org/W3120920721","https://openalex.org/W3122893743","https://openalex.org/W3139159938","https://openalex.org/W3154615938","https://openalex.org/W3174873843","https://openalex.org/W3177105943","https://openalex.org/W3183059737","https://openalex.org/W3200736696","https://openalex.org/W3203827237","https://openalex.org/W4214648418","https://openalex.org/W4224248396","https://openalex.org/W4232418018","https://openalex.org/W4292347833","https://openalex.org/W4298005513","https://openalex.org/W4324119606","https://openalex.org/W4366724042","https://openalex.org/W4377290353","https://openalex.org/W4386432206","https://openalex.org/W4388505182","https://openalex.org/W4390291895","https://openalex.org/W4392168359","https://openalex.org/W4400199031","https://openalex.org/W4403674919"],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W1987967678","https://openalex.org/W2633218168","https://openalex.org/W4235897794","https://openalex.org/W2737719445","https://openalex.org/W2059707233","https://openalex.org/W1983126463","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Oriented":[0],"object":[1,48,56,71,110],"detection":[2,49,57,72,111],"is":[3,30,90],"effective":[4],"in":[5,33],"reducing":[6],"irrelevant":[7],"backgrounds":[8],"and":[9,25,50,86,92,101,119],"distinguishing":[10],"densely":[11],"arranged":[12],"slanted":[13],"objects,":[14],"facilitating":[15],"high-level":[16],"intelligence":[17],"tasks":[18],"such":[19],"as":[20],"visual":[21],"positioning,":[22],"auxiliary":[23],"shooting":[24],"autonomous":[26],"navigation.":[27],"However,":[28],"it":[29],"rarely":[31],"investigated":[32],"the":[34,52,63,67,93,106,120],"field":[35],"of":[36,45,54,65,69,95,108],"aerial":[37,59,113],"power":[38,60,74,78,84,114],"inspection.":[39,61],"This":[40],"paper":[41],"surveys":[42],"crucial":[43],"issues":[44],"universal":[46],"oriented":[47,55,70,109],"reviews":[51],"studies":[53],"for":[58,73,112],"With":[62],"aim":[64],"validating":[66],"potential":[68,121],"inspection,":[75],"a":[76],"challenging":[77],"dataset":[79],"that":[80],"contains":[81],"two":[82],"representative":[83,97],"components":[85],"several":[87,96],"typical":[88],"disadvantages":[89],"constructed,":[91],"performance":[94],"methods":[98],"are":[99,116,123],"examined":[100],"analyzed.":[102],"On":[103],"this":[104],"basis,":[105],"challenges":[107],"inspection":[115],"summed":[117],"up,":[118],"solutions":[122],"discussed.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}