{"id":"https://openalex.org/W3119074118","doi":"https://doi.org/10.1109/iv47402.2020.9304598","title":"A unified method for improving long-range accuracy of stereo and monocular depth estimation algorithms","display_name":"A unified method for improving long-range accuracy of stereo and monocular depth estimation algorithms","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3119074118","doi":"https://doi.org/10.1109/iv47402.2020.9304598","mag":"3119074118"},"language":"en","primary_location":{"id":"doi:10.1109/iv47402.2020.9304598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5079231009","display_name":"Vlad\u2013Cristian Miclea","orcid":"https://orcid.org/0000-0002-5781-5433"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Vlad-Cristian Miclea","raw_affiliation_strings":["Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047954457","display_name":"Sergiu Nedevschi","orcid":"https://orcid.org/0000-0003-2018-4647"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Sergiu Nedevschi","raw_affiliation_strings":["Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":null,"apc_paid":null,"fwci":0.1917,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51553622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"abs 1804 2767","issue":null,"first_page":"1234","last_page":"1241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.8375592827796936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7350594401359558},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7025858163833618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7019339799880981},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.6485511064529419},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5235816240310669},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5125112533569336},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.49670344591140747},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.4842907786369324},{"id":"https://openalex.org/keywords/depth-of-field","display_name":"Depth of field","score":0.4829794466495514},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4645037353038788},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.46329009532928467},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4175361096858978},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3606979548931122},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22144818305969238},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12917888164520264},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.10546252131462097},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07412683963775635},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07361936569213867}],"concepts":[{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.8375592827796936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7350594401359558},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7025858163833618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7019339799880981},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.6485511064529419},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5235816240310669},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5125112533569336},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.49670344591140747},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.4842907786369324},{"id":"https://openalex.org/C183072630","wikidata":"https://www.wikidata.org/wiki/Q215932","display_name":"Depth of field","level":2,"score":0.4829794466495514},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4645037353038788},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46329009532928467},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4175361096858978},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3606979548931122},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22144818305969238},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12917888164520264},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.10546252131462097},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07412683963775635},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07361936569213867},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv47402.2020.9304598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6443313074","display_name":null,"funder_award_id":"PN-III-P4-ID-PCCF-2016-0180","funder_id":"https://openalex.org/F4320323983","funder_display_name":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii"}],"funders":[{"id":"https://openalex.org/F4320323983","display_name":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii","ror":"https://ror.org/01q7jq182"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W42608200","https://openalex.org/W63091017","https://openalex.org/W109974757","https://openalex.org/W1674866864","https://openalex.org/W1921093919","https://openalex.org/W1922120546","https://openalex.org/W1968991518","https://openalex.org/W1995317215","https://openalex.org/W1995386731","https://openalex.org/W1998910452","https://openalex.org/W2098919237","https://openalex.org/W2104974755","https://openalex.org/W2109648077","https://openalex.org/W2117248802","https://openalex.org/W2118877769","https://openalex.org/W2144041313","https://openalex.org/W2171740948","https://openalex.org/W2440384215","https://openalex.org/W2520707372","https://openalex.org/W2565639579","https://openalex.org/W2567028727","https://openalex.org/W2593414960","https://openalex.org/W2604231069","https://openalex.org/W2740797854","https://openalex.org/W2796347433","https://openalex.org/W2802665441","https://openalex.org/W2900860600","https://openalex.org/W2912836860","https://openalex.org/W2936215687","https://openalex.org/W2951234442","https://openalex.org/W2951333975","https://openalex.org/W2952813711","https://openalex.org/W2962741876","https://openalex.org/W2962960377","https://openalex.org/W2963488291","https://openalex.org/W2963732628","https://openalex.org/W2963840672","https://openalex.org/W2990946490","https://openalex.org/W3002983225","https://openalex.org/W4293584584","https://openalex.org/W6677548441","https://openalex.org/W6685261749","https://openalex.org/W6696085341","https://openalex.org/W6730903564","https://openalex.org/W6750227808","https://openalex.org/W6751492435","https://openalex.org/W6753081716","https://openalex.org/W6759084196","https://openalex.org/W6761320738","https://openalex.org/W6766261854"],"related_works":["https://openalex.org/W2074216034","https://openalex.org/W2073100926","https://openalex.org/W2398548367","https://openalex.org/W2510234973","https://openalex.org/W2017236227","https://openalex.org/W4213085014","https://openalex.org/W2051061664","https://openalex.org/W2105983256","https://openalex.org/W2064421702","https://openalex.org/W14464361"],"abstract_inverted_index":{"Environment":[0],"perception":[1,67,99,121],"for":[2,68,115,132,143,146],"driving":[3],"applications":[4],"requires":[5,158],"very":[6],"accurate":[7],"sensors":[8],"especially":[9,43],"when":[10,45],"dealing":[11,46],"with":[12,47,101],"depth":[13,66,79,98,120,126],"measurements.":[14],"LiDAR":[15],"is":[16,54],"the":[17,83,141,153,164,168],"most":[18],"trustworthy":[19],"sensor":[20],"in":[21,29,59,127],"this":[22,60],"domain,":[23],"but":[24],"it":[25],"suffers":[26],"from":[27],"disadvantages":[28],"terms":[30],"of":[31,33,85,96,167],"number":[32],"scene":[34],"points":[35],"and":[36,77,118],"their":[37,104],"temporal":[38],"alignment.":[39],"These":[40],"issues":[41],"are":[42],"relevant":[44],"long-range":[48,105],"measurements,":[49],"where":[50],"each":[51],"3D":[52],"point":[53],"crucial.":[55],"As":[56],"an":[57],"alternative,":[58],"work":[61],"we":[62,87],"focus":[63],"on":[64],"camera-based":[65,97],"objects":[69,147],"at":[70,148],"large":[71,149],"distance":[72],"by":[73],"using":[74],"stereo":[75,117],"reconstruction":[76],"monocular":[78,119],"estimation.":[80],"Towards":[81],"improving":[82],"capabilities":[84,166],"camera-based,":[86],"initially":[88],"introduce":[89],"a":[90,110,125],"taxonomy":[91],"to":[92,103],"categorize":[93],"all":[94],"types":[95],"methods":[100],"respect":[102],"capabilities.":[106],"We":[107,135],"then":[108],"present":[109],"correction":[111],"method":[112,139,157],"that":[113,123,137],"works":[114],"both":[116],"algorithms":[122,145],"output":[124],"discrete":[128],"setting":[129],"(most":[130],"suitable":[131],"realtime":[133],"applications).":[134],"show":[136],"our":[138],"improves":[140],"precision":[142],"such":[144],"distances":[150],"without":[151],"affecting":[152],"near-range":[154],"accuracy.":[155],"The":[156],"only":[159],"several":[160],"additional":[161],"operations,":[162],"preserving":[163],"real-time":[165],"underlying":[169],"algorithms.":[170]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
