{"id":"https://openalex.org/W4407361456","doi":"https://doi.org/10.1109/ispacs62486.2024.10868034","title":"Convolution-Based Depth Map With Shadow Removal Using Cameras for 3D Mapping in Autonomous Vehicle Driving","display_name":"Convolution-Based Depth Map With Shadow Removal Using Cameras for 3D Mapping in Autonomous Vehicle Driving","publication_year":2024,"publication_date":"2024-12-10","ids":{"openalex":"https://openalex.org/W4407361456","doi":"https://doi.org/10.1109/ispacs62486.2024.10868034"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs62486.2024.10868034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs62486.2024.10868034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","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/A5069580722","display_name":"Hyunjoong Lee","orcid":"https://orcid.org/0000-0002-9678-7201"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyunjoong Lee","raw_affiliation_strings":["Kyungpook National University Daegu,School of Electronics Engineering,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kyungpook National University Daegu,School of Electronics Engineering,Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030304824","display_name":"Daejin Park","orcid":"https://orcid.org/0000-0002-5560-873X"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daejin Park","raw_affiliation_strings":["Kyungpook National University Daegu,School of Electronics Engineering,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kyungpook National University Daegu,School of Electronics Engineering,Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069580722"],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52602256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9703999757766724,"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/computer-vision","display_name":"Computer vision","score":0.7580997943878174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.703408420085907},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.6915498375892639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6826144456863403},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6494733095169067},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.45320940017700195},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.44589048624038696},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23389992117881775}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7580997943878174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.703408420085907},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.6915498375892639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6826144456863403},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6494733095169067},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.45320940017700195},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.44589048624038696},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23389992117881775},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispacs62486.2024.10868034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs62486.2024.10868034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322064","display_name":"Korea Institute for Advancement of Technology","ror":"https://ror.org/015w1qa96"},{"id":"https://openalex.org/F4320322202","display_name":"IC Design Education Center","ror":"https://ror.org/005v57z85"},{"id":"https://openalex.org/F4320326288","display_name":"K2","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1541667274","https://openalex.org/W2107455933","https://openalex.org/W2995069649","https://openalex.org/W3091782036","https://openalex.org/W4284879417"],"related_works":["https://openalex.org/W2893218741","https://openalex.org/W4392589133","https://openalex.org/W2558319350","https://openalex.org/W1492594177","https://openalex.org/W1842742976","https://openalex.org/W2803235238","https://openalex.org/W3112085556","https://openalex.org/W399661440","https://openalex.org/W4392585872","https://openalex.org/W2113831239"],"abstract_inverted_index":{"For":[0,29],"autonomous":[1,110,140],"vehicle":[2,19],"driving,":[3],"there":[4],"are":[5,20],"some":[6],"limitations":[7],"to":[8,71],"using":[9,34,67,89],"only":[10,68,105,134],"2D":[11],"data":[12,16,150],"so":[13],"that":[14,86,103,132,142],"3D":[15,30,32,65,101,130],"surrounding":[17,151],"the":[18,41,46,73,106,135,152],"used,":[21],"and":[22,26,50,81,115,120],"this":[23],"supplies":[24],"accurate":[25],"useful":[27],"information.":[28],"data,":[31],"mapping":[33,66,102],"a":[35,96,124,129],"Lidar":[36],"sensor":[37],"is":[38,48],"one":[39],"of":[40,76,149],"methods":[42],"mostly":[43],"used.":[44],"However,":[45],"lidar":[47],"expensive":[49],"can":[51,127],"be":[52],"easily":[53],"affected":[54],"by":[55,118],"weather.":[56],"Therefore,":[57],"we":[58,94,126],"focus":[59],"on":[60],"generating":[61],"depth":[62,79,97],"maps":[63],"for":[64,100,109,139],"cameras.":[69],"Also,":[70],"remove":[72],"large":[74,147],"amount":[75],"noise,":[77],"unnecessary":[78],"information,":[80],"uncertainty":[82],"in":[83,92,145],"object":[84],"segmentation":[85],"occurs":[87],"when":[88],"existing":[90],"functions":[91],"OpenCV,":[93],"propose":[95],"map-generating":[98],"method":[99],"expresses":[104],"information":[107,137],"necessary":[108],"driving":[111,141],"with":[112],"less":[113],"noise":[114],"clear":[116],"division":[117],"convolution":[119],"shadow":[121],"removal.":[122],"As":[123],"result,":[125],"create":[128],"map":[131],"represents":[133],"minimum":[136],"required":[138],"increase":[143],"efficiency":[144],"processing":[146],"amounts":[148],"ego":[153],"vehicles.":[154]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}