{"id":"https://openalex.org/W4322578079","doi":"https://doi.org/10.1145/3575882.3575936","title":"D-ViShaDeRec: Double Intensity of Video Shadow Detection, Removal, and Re-coloring in Autonomous Vehicle","display_name":"D-ViShaDeRec: Double Intensity of Video Shadow Detection, Removal, and Re-coloring in Autonomous Vehicle","publication_year":2022,"publication_date":"2022-11-22","ids":{"openalex":"https://openalex.org/W4322578079","doi":"https://doi.org/10.1145/3575882.3575936"},"language":"en","primary_location":{"id":"doi:10.1145/3575882.3575936","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3575882.3575936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications","raw_type":"proceedings-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/A5048838635","display_name":"Risnandar Risnandar","orcid":"https://orcid.org/0000-0003-3353-2700"},"institutions":[{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":"ID","type":"government","lineage":["https://openalex.org/I4387154144"]},{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Risnandar","raw_affiliation_strings":["The Research Center for Data and Information Sciences, The National Research and Innovation Agency (BRIN), Indonesia and School of Computing, Telkom University, Indonesia"],"raw_orcid":"https://orcid.org/0000-0003-3353-2700","affiliations":[{"raw_affiliation_string":"The Research Center for Data and Information Sciences, The National Research and Innovation Agency (BRIN), Indonesia and School of Computing, Telkom University, Indonesia","institution_ids":["https://openalex.org/I862893732","https://openalex.org/I4387154144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000546628","display_name":"Deeva Nabila","orcid":"https://orcid.org/0000-0002-8138-1452"},"institutions":[{"id":"https://openalex.org/I3133421993","display_name":"State University of Jakarta","ror":"https://ror.org/01hgg7b81","country_code":"ID","type":"education","lineage":["https://openalex.org/I3133421993"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Deeva Nabila","raw_affiliation_strings":["Physics Study Program, State University of Jakarta, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-8138-1452","affiliations":[{"raw_affiliation_string":"Physics Study Program, State University of Jakarta, Indonesia","institution_ids":["https://openalex.org/I3133421993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0979,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40404021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"281","last_page":"285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9984999895095825,"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":0.9969000220298767,"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-vision","display_name":"Computer vision","score":0.8054187297821045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7876582741737366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.774452805519104},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.7195422649383545},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5752865076065063},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5583333373069763},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.5154448747634888},{"id":"https://openalex.org/keywords/sobel-operator","display_name":"Sobel operator","score":0.4429623782634735},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44140610098838806},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4317023456096649},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.42176276445388794},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2128940224647522},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.156193345785141},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.13606753945350647},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08232811093330383}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8054187297821045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7876582741737366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.774452805519104},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.7195422649383545},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5752865076065063},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5583333373069763},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.5154448747634888},{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.4429623782634735},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44140610098838806},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4317023456096649},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.42176276445388794},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2128940224647522},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.156193345785141},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.13606753945350647},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08232811093330383},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3575882.3575936","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3575882.3575936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1432573875","https://openalex.org/W1948643722","https://openalex.org/W1967913888","https://openalex.org/W2085910047","https://openalex.org/W2102302901","https://openalex.org/W2130210787","https://openalex.org/W2133813344","https://openalex.org/W2143373691","https://openalex.org/W2161932890","https://openalex.org/W2252574053","https://openalex.org/W2493294671","https://openalex.org/W2519623608","https://openalex.org/W2572531531","https://openalex.org/W2594516300","https://openalex.org/W2777007256","https://openalex.org/W2798943297","https://openalex.org/W2801375052","https://openalex.org/W2923942255","https://openalex.org/W2943789680","https://openalex.org/W3024324509","https://openalex.org/W3027615165","https://openalex.org/W3034769575","https://openalex.org/W3048401767","https://openalex.org/W3104943862","https://openalex.org/W3115300452","https://openalex.org/W3116794853","https://openalex.org/W3117712420","https://openalex.org/W3210482106","https://openalex.org/W4390623576","https://openalex.org/W4394664846","https://openalex.org/W6734237969","https://openalex.org/W6891825037"],"related_works":["https://openalex.org/W2362890552","https://openalex.org/W2392642780","https://openalex.org/W1985441784","https://openalex.org/W2378303881","https://openalex.org/W55503292","https://openalex.org/W2380681794","https://openalex.org/W2386107049","https://openalex.org/W3212250818","https://openalex.org/W4225576506","https://openalex.org/W4382050342"],"abstract_inverted_index":{"Shadows":[0],"are":[1],"the":[2,9,27,39,48,53,57,84,94,98,103,133],"obstacle":[3],"parts":[4],"of":[5,38,68,118,132],"a":[6,79,108,115],"vision-based":[7],"during":[8],"driving":[10],"an":[11,22],"autonomous":[12],"vehicle":[13],"(AV).":[14],"The":[15,122],"shadow":[16,43,59,71,85],"also":[17,106],"can":[18],"be":[19],"detected":[20],"as":[21],"object.":[23,35],"It":[24],"is":[25,91],"feared":[26],"AV\u2019s":[28],"system":[29],"doesn\u2019t":[30],"well-work":[31],"or":[32],"hits":[33],"another":[34],"Many":[36],"methods":[37],"images":[40],"and":[41,45,60,74,88,131,139],"video":[42,58,70,86],"detection":[44,87],"removal":[46,89],"in":[47,83,97],"AVs.":[49],"However,":[50],"to":[51,64],"handle":[52],"various":[54],"backgrounds":[55],"on":[56],"objects,":[61],"we":[62],"need":[63],"exploit":[65],"many":[66],"scenarios":[67],"single":[69],"detection,":[72],"removal,":[73],"semantic":[75],"segmentation.":[76],"We":[77,105],"propose":[78,107],"new":[80,109],"novelty":[81],"method":[82,96],"which":[90,113],"combined":[92],"with":[93],"re-coloring":[95],"segmentation":[99],"process.":[100],"It\u2019s":[101],"namely":[102],"D-ViShaDeRec.":[104],"modified":[110],"Sobel":[111],"algorithm":[112],"has":[114],"kernel":[116],"size":[117],"5":[119],"\u00d7":[120],"5.":[121],"D-ViShaDeRec\u2019s":[123],"outcomes":[124],"show":[125],",":[126,127,128,129,130],"recall,":[134],"selectivity,":[135],"precision,":[136],"NPV,":[137],"accuracy,":[138],"F1-Score,":[140],"respectively.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
