{"id":"https://openalex.org/W4413017815","doi":"https://doi.org/10.1109/iv64158.2025.11097587","title":"DOC-Depth: A Novel Approach for Dense Depth Ground Truth Generation","display_name":"DOC-Depth: A Novel Approach for Dense Depth Ground Truth Generation","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4413017815","doi":"https://doi.org/10.1109/iv64158.2025.11097587"},"language":"en","primary_location":{"id":"doi:10.1109/iv64158.2025.11097587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv64158.2025.11097587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Intelligent Vehicles Symposium (IV)","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/A5045206743","display_name":"Daniel Simon","orcid":"https://orcid.org/0000-0002-8051-6028"},"institutions":[{"id":"https://openalex.org/I220619192","display_name":"Valeo (France)","ror":"https://ror.org/04ryqpf83","country_code":"FR","type":"company","lineage":["https://openalex.org/I220619192"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"De Moreau Simon","raw_affiliation_strings":["Mines Paris &#x2013; PSL &#x0026; Valeo,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mines Paris &#x2013; PSL &#x0026; Valeo,France","institution_ids":["https://openalex.org/I220619192"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Corsia Mathias","orcid":null},"institutions":[{"id":"https://openalex.org/I190533189","display_name":"Amway (United States)","ror":"https://ror.org/0255w3r50","country_code":"US","type":"company","lineage":["https://openalex.org/I190533189"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Corsia Mathias","raw_affiliation_strings":["Exwayz,France","Exways (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Exwayz,France","institution_ids":["https://openalex.org/I190533189"]},{"raw_affiliation_string":"Exways (France)","institution_ids":["https://openalex.org/I190533189"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bouchiba Hassan","orcid":null},"institutions":[{"id":"https://openalex.org/I190533189","display_name":"Amway (United States)","ror":"https://ror.org/0255w3r50","country_code":"US","type":"company","lineage":["https://openalex.org/I190533189"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bouchiba Hassan","raw_affiliation_strings":["Exwayz,France","Exways (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Exwayz,France","institution_ids":["https://openalex.org/I190533189"]},{"raw_affiliation_string":"Exways (France)","institution_ids":["https://openalex.org/I190533189"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Almehio Yasser","orcid":null},"institutions":[{"id":"https://openalex.org/I220619192","display_name":"Valeo (France)","ror":"https://ror.org/04ryqpf83","country_code":"FR","type":"company","lineage":["https://openalex.org/I220619192"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Almehio Yasser","raw_affiliation_strings":["Valeo,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Valeo,France","institution_ids":["https://openalex.org/I220619192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119232240","display_name":"Bursuc Andrei","orcid":null},"institutions":[{"id":"https://openalex.org/I220619192","display_name":"Valeo (France)","ror":"https://ror.org/04ryqpf83","country_code":"FR","type":"company","lineage":["https://openalex.org/I220619192"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bursuc Andrei","raw_affiliation_strings":["Valeo AI,France","Valeo.ai (Paris - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Valeo AI,France","institution_ids":["https://openalex.org/I220619192"]},{"raw_affiliation_string":"Valeo.ai (Paris - France)","institution_ids":["https://openalex.org/I220619192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119232241","display_name":"El-Idrissi Hafid","orcid":null},"institutions":[{"id":"https://openalex.org/I220619192","display_name":"Valeo (France)","ror":"https://ror.org/04ryqpf83","country_code":"FR","type":"company","lineage":["https://openalex.org/I220619192"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"El-Idrissi Hafid","raw_affiliation_strings":["Valeo,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Valeo,France","institution_ids":["https://openalex.org/I220619192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008228948","display_name":"Fabien Moutarde","orcid":"https://orcid.org/0000-0003-4799-7285"},"institutions":[{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]},{"id":"https://openalex.org/I4210154688","display_name":"H\u00f4pital Saint-Michel","ror":"https://ror.org/057v2pg43","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210154688"]},{"id":"https://openalex.org/I4403386650","display_name":"Centre de Robotique","ror":"https://ror.org/0180r7w69","country_code":null,"type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4403386650","https://openalex.org/I70768539"]},{"id":"https://openalex.org/I70768539","display_name":"\u00c9cole Nationale Sup\u00e9rieure des Mines de Paris","ror":"https://ror.org/04y8cs423","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Moutarde Fabien","raw_affiliation_strings":["Mines Paris - PSL,France","CAOR - Centre de Robotique (60, boulevard Saint-Michel 75272 Paris cedex 06 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mines Paris - PSL,France","institution_ids":["https://openalex.org/I2746051580","https://openalex.org/I70768539"]},{"raw_affiliation_string":"CAOR - Centre de Robotique (60, boulevard Saint-Michel 75272 Paris cedex 06 - France)","institution_ids":["https://openalex.org/I4210154688","https://openalex.org/I4403386650"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9349,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77387475,"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":"547","last_page":"554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9977999925613403,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9977999925613403,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9961000084877014,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9927999973297119,"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/ground-truth","display_name":"Ground truth","score":0.7639682292938232},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5613716840744019},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.43601667881011963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3984341025352478}],"concepts":[{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7639682292938232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5613716840744019},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.43601667881011963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3984341025352478}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iv64158.2025.11097587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv64158.2025.11097587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05416822v1","is_oa":false,"landing_page_url":"https://minesparis-psl.hal.science/hal-05416822","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2025 IEEE Intelligent Vehicles Symposium (IV), Jun 2025, Cluj-Napoca, Romania. pp.547-554, &#x27E8;10.1109/IV64158.2025.11097587&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2000018820","https://openalex.org/W2150066425","https://openalex.org/W2167667767","https://openalex.org/W2951730755","https://openalex.org/W2963316641","https://openalex.org/W2963911235","https://openalex.org/W2991216808","https://openalex.org/W2998737430","https://openalex.org/W3034604951","https://openalex.org/W3034726754","https://openalex.org/W3034961469","https://openalex.org/W3109428934","https://openalex.org/W3130044230","https://openalex.org/W3138270694","https://openalex.org/W3178217626","https://openalex.org/W3203066970","https://openalex.org/W3207649350","https://openalex.org/W4210423514","https://openalex.org/W4234377209","https://openalex.org/W4285175752","https://openalex.org/W4295215132","https://openalex.org/W4312566889","https://openalex.org/W4315778466","https://openalex.org/W4383097439","https://openalex.org/W4385834120","https://openalex.org/W4386066358","https://openalex.org/W4386075718","https://openalex.org/W4386076096","https://openalex.org/W4390873354","https://openalex.org/W4390874575","https://openalex.org/W4391769377","https://openalex.org/W4397026402","https://openalex.org/W4401413861","https://openalex.org/W4402727084","https://openalex.org/W4402727867","https://openalex.org/W4402753924","https://openalex.org/W6751382148","https://openalex.org/W6766947841"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2324615561","https://openalex.org/W2086120259","https://openalex.org/W2390279801","https://openalex.org/W2245170124","https://openalex.org/W2076393078","https://openalex.org/W4391913857","https://openalex.org/W2358668433"],"abstract_inverted_index":{"Accurate":[0],"depth":[1,21,42,117],"information":[2],"is":[3,75],"essential":[4],"for":[5,17,40,80,144],"many":[6],"computer":[7],"vision":[8],"applications.":[9],"Yet,":[10],"no":[11],"available":[12,143],"dataset":[13],"recording":[14],"method":[15],"allows":[16],"fully":[18,115],"dense":[19,41,51,116],"accurate":[20],"estimation":[22],"in":[23,86,123,135],"a":[24,34],"large-scale":[25],"dynamic":[26,59,69],"environment.":[27],"In":[28],"this":[29,113],"paper,":[30],"we":[31,57],"introduce":[32],"DOC-Depth,":[33],"novel,":[35],"efficient":[36],"and":[37,77,90,111,134],"easy-to-deploy":[38],"approach":[39,98],"generation":[43],"from":[44,106],"any":[45],"LiDAR":[46,55,132],"sensor.":[47],"After":[48],"reconstructing":[49],"consistent":[50],"3D":[52],"environment":[53],"using":[54,130],"odometry,":[56],"address":[58],"objects":[60],"occlusions":[61],"automatically":[62],"thanks":[63],"to":[64,109,119],"DOC,":[65],"our":[66,97],"state-of-the":[67],"art":[68],"object":[70],"classification":[71],"method.":[72],"Additionally,":[73],"DOC-Depth":[74],"fast":[76],"scalable,":[78],"allowing":[79],"the":[81,94,100,124,145],"creation":[82],"of":[83,88,96],"unbounded":[84],"datasets":[85],"terms":[87],"size":[89],"time.":[91],"We":[92,126],"demonstrate":[93],"effectiveness":[95],"on":[99],"KITTI":[101],"dataset,":[102],"improving":[103],"its":[104],"density":[105],"16.1":[107],"%":[108],"71.2%":[110],"release":[112],"new":[114],"annotation,":[118],"facilitate":[120],"future":[121],"research":[122,146],"domain.":[125],"also":[127],"showcase":[128],"results":[129],"various":[131],"sensors":[133],"multiple":[136],"environments.":[137],"All":[138],"software":[139],"components":[140],"are":[141],"publicly":[142],"community":[147],"at":[148],"https://simondemoreau.github.io/DOC-Depth/.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
