{"id":"https://openalex.org/W4366775218","doi":"https://doi.org/10.1007/s11227-023-05245-9","title":"Enhanced aerial vehicle system techniques for detection and tracking in fog, sandstorm, and snow conditions","display_name":"Enhanced aerial vehicle system techniques for detection and tracking in fog, sandstorm, and snow conditions","publication_year":2023,"publication_date":"2023-04-21","ids":{"openalex":"https://openalex.org/W4366775218","doi":"https://doi.org/10.1007/s11227-023-05245-9"},"language":"en","primary_location":{"id":"doi:10.1007/s11227-023-05245-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11227-023-05245-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11227-023-05245-9.pdf","source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11227-023-05245-9.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030532850","display_name":"Amira Samy Talaat","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156128","display_name":"Electronics Research Institute","ror":"https://ror.org/0532wcf75","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210094263","https://openalex.org/I4210156128"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Amira Samy Talaat","raw_affiliation_strings":["Computers and Systems Department, Electronics Research Institute, Cairo, 12622, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computers and Systems Department, Electronics Research Institute, Cairo, 12622, Egypt","institution_ids":["https://openalex.org/I4210156128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052265483","display_name":"Shaker El\u2013Sappagh","orcid":"https://orcid.org/0000-0001-9705-1477"},"institutions":[{"id":"https://openalex.org/I130009713","display_name":"Suez University","ror":"https://ror.org/00ndhrx30","country_code":"EG","type":"education","lineage":["https://openalex.org/I130009713"]},{"id":"https://openalex.org/I207547235","display_name":"Benha University","ror":"https://ror.org/03tn5ee41","country_code":"EG","type":"education","lineage":["https://openalex.org/I207547235"]},{"id":"https://openalex.org/I4400009028","display_name":"Galala University","ror":"https://ror.org/04x3ne739","country_code":null,"type":"education","lineage":["https://openalex.org/I4400009028"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Shaker El-Sappagh","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Galala University, Suez, 435611, Egypt","Information Systems Department, Faculty of Computers and Artificial Intelligence, Benha University, Banha, 13518, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Galala University, Suez, 435611, Egypt","institution_ids":["https://openalex.org/I130009713","https://openalex.org/I4400009028"]},{"raw_affiliation_string":"Information Systems Department, Faculty of Computers and Artificial Intelligence, Benha University, Banha, 13518, Egypt","institution_ids":["https://openalex.org/I207547235"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030532850"],"corresponding_institution_ids":["https://openalex.org/I4210156128"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.7968,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73506524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"79","issue":"14","first_page":"15868","last_page":"15893"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"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":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7738519906997681},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.653948962688446},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6410974264144897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5996719598770142},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.5968359112739563},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5742616653442383},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5636352896690369},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.512988269329071},{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.5104602575302124},{"id":"https://openalex.org/keywords/vehicle-tracking-system","display_name":"Vehicle tracking system","score":0.4830213487148285},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4735538065433502},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3893526792526245},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26906371116638184},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.14592048525810242},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.14206638932228088},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08785119652748108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7738519906997681},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.653948962688446},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6410974264144897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5996719598770142},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.5968359112739563},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5742616653442383},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5636352896690369},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.512988269329071},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.5104602575302124},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.4830213487148285},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4735538065433502},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3893526792526245},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26906371116638184},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.14592048525810242},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.14206638932228088},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08785119652748108},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11227-023-05245-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11227-023-05245-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11227-023-05245-9.pdf","source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11227-023-05245-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11227-023-05245-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11227-023-05245-9.pdf","source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366775218.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W783649656","https://openalex.org/W1536680647","https://openalex.org/W2102605133","https://openalex.org/W2164847484","https://openalex.org/W2314029052","https://openalex.org/W2480078828","https://openalex.org/W2519586580","https://openalex.org/W2534746541","https://openalex.org/W2570343428","https://openalex.org/W2605995529","https://openalex.org/W2771079624","https://openalex.org/W2790482089","https://openalex.org/W2794927458","https://openalex.org/W2804451008","https://openalex.org/W2909118020","https://openalex.org/W2937478302","https://openalex.org/W2940459376","https://openalex.org/W2961817498","https://openalex.org/W2963037989","https://openalex.org/W2963456480","https://openalex.org/W2963958441","https://openalex.org/W3101896960","https://openalex.org/W3104282073","https://openalex.org/W3115142864","https://openalex.org/W3163770228","https://openalex.org/W3197607112","https://openalex.org/W4210844067","https://openalex.org/W4214695428","https://openalex.org/W4214841115","https://openalex.org/W4236872166","https://openalex.org/W4294151799","https://openalex.org/W4296137062"],"related_works":["https://openalex.org/W2054235656","https://openalex.org/W2133674408","https://openalex.org/W4281560450","https://openalex.org/W3096301266","https://openalex.org/W346723641","https://openalex.org/W1497101000","https://openalex.org/W3084370450","https://openalex.org/W2534746541","https://openalex.org/W2008499636","https://openalex.org/W4312857205"],"abstract_inverted_index":{"Abstract":[0],"Unmanned":[1],"aerial":[2,55,66,194,206,239],"vehicles":[3,35,57,83,208,241],"are":[4,74,108,114,125,174],"rapidly":[5],"being":[6],"utilized":[7],"in":[8,58,84,199,209,242],"surveillance":[9],"and":[10,18,26,42,53,68,98,105,132,170,191,227,235],"traffic":[11,62,89],"monitoring":[12,63],"because":[13],"of":[14,45,81,120,153,179,196,218],"their":[15,38],"great":[16],"mobility":[17],"capacity":[19],"to":[20,33,37,116,128,135,148,186],"cover":[21],"regions":[22],"at":[23],"various":[24,39],"elevations":[25],"positions.":[27],"It":[28],"is":[29,50],"a":[30,203],"challenging":[31],"task":[32],"detect":[34,136],"due":[36],"shapes,":[40],"textures,":[41],"colors.":[43],"One":[44],"the":[46,78,150,177,180,224,229],"most":[47],"difficult":[48],"challenges":[49],"correctly":[51],"detecting":[52],"counting":[54],"view":[56,207,240],"real":[59],"time":[60],"for":[61,76,88,205,238],"objectives":[64],"using":[65],"images":[67,119,124],"videos.":[69],"In":[70],"this":[71],"research,":[72],"strategies":[73],"presented":[75],"improving":[77],"detection":[79,131,234],"ability":[80],"self-driving":[82],"tough":[85],"conditions,":[86],"also":[87],"monitoring,":[90],"vehicle":[91,158,188],"surveillance.":[92],"We":[93],"make":[94],"classification,":[95],"tracking":[96,161,236],"trajectories,":[97],"movement":[99,172,192],"calculation":[100,173],"where":[101],"fog,":[102],"sandstorm":[103],"(dust),":[104],"snow":[106],"conditions":[107],"challenging.":[109],"Initially,":[110],"image":[111],"enhancement":[112],"methods":[113,140],"implemented":[115],"improve":[117,187],"unclear":[118],"roads.":[121],"The":[122],"improved":[123],"then":[126],"subjected":[127],"an":[129,216],"object":[130],"classification":[133],"algorithm":[134],"vehicles.":[137],"Finally,":[138],"new":[139],"were":[141],"evaluated":[142],"(Corrected":[143],"Optical":[144],"flow/Corrected":[145],"Kalman":[146,166],"filter)":[147],"get":[149],"least":[151],"error":[152,217],"trajectories.":[154],"Also":[155],"features":[156],"like":[157],"count,":[159],"type,":[160],"trajectories":[162],"by":[163],"(Optical":[164],"flow,":[165],"Filter,":[167],"Euclidean":[168],"Distance)":[169],"relative":[171],"extracted":[175],"from":[176,223],"coordinates":[178],"observed":[181],"objects.":[182],"These":[183],"techniques":[184],"aim":[185],"detection,":[189],"tracking,":[190],"over":[193],"views":[195],"roads":[197],"especially":[198],"bad":[200,210,243],"weather.":[201],"As":[202],"result,":[204],"weather,":[211],"our":[212],"proposed":[213],"method":[214],"has":[215],"less":[219],"than":[220],"5":[221],"pixels":[222],"actual":[225],"value":[226],"give":[228],"best":[230],"results.":[231],"This":[232],"improves":[233],"performance":[237],"weather":[244],"conditions.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}