{"id":"https://openalex.org/W2585364002","doi":"https://doi.org/10.2352/issn.2470-1173.2017.19.avm-013","title":"Accelerated Stereo Matching for Autonomous Vehicles using An Upright Pinhole Camera Model","display_name":"Accelerated Stereo Matching for Autonomous Vehicles using An Upright Pinhole Camera Model","publication_year":2017,"publication_date":"2017-01-29","ids":{"openalex":"https://openalex.org/W2585364002","doi":"https://doi.org/10.2352/issn.2470-1173.2017.19.avm-013","mag":"2585364002"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2017.19.avm-013","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.19.avm-013","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5100418563","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0003-3498-2527"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["***University of Illinois at Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"***University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084252480","display_name":"Jiangbo Lu","orcid":"https://orcid.org/0000-0002-0048-3140"},"institutions":[{"id":"https://openalex.org/I4210108443","display_name":"Advanced Digital Sciences Center","ror":"https://ror.org/01xaqx887","country_code":"SG","type":"facility","lineage":["https://openalex.org/I4210108443"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiangbo Lu","raw_affiliation_strings":["Advanced Digital Sciences Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Digital Sciences Center","institution_ids":["https://openalex.org/I4210108443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111563677","display_name":"Do-Kyoung Kwon","orcid":null},"institutions":[{"id":"https://openalex.org/I74760111","display_name":"Texas Instruments (United States)","ror":"https://ror.org/03vsmv677","country_code":"US","type":"company","lineage":["https://openalex.org/I74760111"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Do-Kyoung Kwon","raw_affiliation_strings":["Texas Instruments,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas Instruments,","institution_ids":["https://openalex.org/I74760111"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018839038","display_name":"Darnell Moore","orcid":null},"institutions":[{"id":"https://openalex.org/I74760111","display_name":"Texas Instruments (United States)","ror":"https://ror.org/03vsmv677","country_code":"US","type":"company","lineage":["https://openalex.org/I74760111"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Darnell Moore","raw_affiliation_strings":["Texas Instruments,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas Instruments,","institution_ids":["https://openalex.org/I74760111"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005908865","display_name":"N. Minh","orcid":"https://orcid.org/0000-0001-5132-4986"},"institutions":[{"id":"https://openalex.org/I4400573203","display_name":"Nature Inspires Creativity Engineers Lab","ror":"https://ror.org/02bczqy30","country_code":null,"type":"facility","lineage":["https://openalex.org/I201841394","https://openalex.org/I4400573203"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Minh N. Do","raw_affiliation_strings":["Coordinated Science Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coordinated Science Lab","institution_ids":["https://openalex.org/I4400573203"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0924,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4286365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"29","issue":"19","first_page":"18","last_page":"21"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9983000159263611,"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":0.9923999905586243,"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":0.7718082666397095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7576916217803955},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7048661112785339},{"id":"https://openalex.org/keywords/pinhole","display_name":"Pinhole (optics)","score":0.6786874532699585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6691832542419434},{"id":"https://openalex.org/keywords/stereo-camera","display_name":"Stereo camera","score":0.5766541957855225},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5597589612007141},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4991598129272461},{"id":"https://openalex.org/keywords/pinhole-camera-model","display_name":"Pinhole camera model","score":0.47112083435058594},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.43262654542922974},{"id":"https://openalex.org/keywords/camera-matrix","display_name":"Camera matrix","score":0.423970103263855},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.4129409193992615},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3385600447654724},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.32322990894317627},{"id":"https://openalex.org/keywords/camera-auto-calibration","display_name":"Camera auto-calibration","score":0.29247552156448364},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2333013117313385},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10101363062858582},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09879136085510254},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09008821845054626}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7718082666397095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7576916217803955},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7048661112785339},{"id":"https://openalex.org/C2776700484","wikidata":"https://www.wikidata.org/wiki/Q15832623","display_name":"Pinhole (optics)","level":2,"score":0.6786874532699585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6691832542419434},{"id":"https://openalex.org/C185078393","wikidata":"https://www.wikidata.org/wiki/Q313783","display_name":"Stereo camera","level":2,"score":0.5766541957855225},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5597589612007141},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4991598129272461},{"id":"https://openalex.org/C199996500","wikidata":"https://www.wikidata.org/wiki/Q14369636","display_name":"Pinhole camera model","level":4,"score":0.47112083435058594},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.43262654542922974},{"id":"https://openalex.org/C679329","wikidata":"https://www.wikidata.org/wiki/Q5026015","display_name":"Camera matrix","level":5,"score":0.423970103263855},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.4129409193992615},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3385600447654724},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.32322990894317627},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.29247552156448364},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2333013117313385},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10101363062858582},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09879136085510254},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09008821845054626},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2017.19.avm-013","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.19.avm-013","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W42909716","https://openalex.org/W2054266717","https://openalex.org/W2658949336","https://openalex.org/W2096059205","https://openalex.org/W3108957460","https://openalex.org/W1973271280","https://openalex.org/W2321086849","https://openalex.org/W2089184644","https://openalex.org/W2059940665","https://openalex.org/W2079367325"],"abstract_inverted_index":{"In":[0,85],"this":[1,87],"paper,":[2],"we":[3,59,94],"propose":[4],"a":[5],"new":[6],"method":[7,109],"for":[8,99],"accelerating":[9],"stereo":[10,26],"matching":[11],"in":[12],"autonomous":[13],"vehicles":[14,38],"using":[15],"an":[16],"upright":[17],"pinhole":[18],"camera":[19,33],"model.":[20],"It":[21],"is":[22,34,48,56,75],"motivated":[23],"by":[24],"that":[25,44,78],"videos":[27],"are":[28],"more":[29],"restricted":[30],"when":[31],"the":[32,37,41,45,51,54,62,67,71,107,111],"fixed":[35],"on":[36,40,66,103],"driving":[39],"road.":[42],"Assuming":[43],"imaging":[46],"plane":[47],"perpendicular":[49],"to":[50,117],"road":[52,55],"and":[53,70],"generally":[57],"flat,":[58],"can":[60,96],"derive":[61],"current":[63],"disparity":[64,100,112],"based":[65],"previous":[68],"one":[69],"flow.":[72],"The":[73],"prediction":[74],"very":[76],"efficient":[77],"only":[79,120],"requires":[80],"two":[81],"multiplications":[82],"per":[83],"pixel.":[84],"practice,":[86],"model":[88],"may":[89],"not":[90],"hold":[91],"strictly":[92],"but":[93],"still":[95],"use":[97],"it":[98],"initialization.":[101],"Results":[102],"real":[104],"datasets":[105],"demonstrate":[106],"our":[108],"reduces":[110],"search":[113],"range":[114],"from":[115],"128":[116],"61":[118],"with":[119],"slightly":[121],"accuracy":[122],"decreasing.":[123]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}