{"id":"https://openalex.org/W2293386950","doi":"https://doi.org/10.1109/vtcspring.2014.7022840","title":"Automotive Comphotogrammetry","display_name":"Automotive Comphotogrammetry","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2293386950","doi":"https://doi.org/10.1109/vtcspring.2014.7022840","mag":"2293386950"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2014.7022840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2014.7022840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 79th Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5079264216","display_name":"Richard D. Roberts","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Richard D. Roberts","raw_affiliation_strings":["Intel Corporation, Intel Labs, Hillsboro, Oregon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation, Intel Labs, Hillsboro, Oregon","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5079264216"],"corresponding_institution_ids":["https://openalex.org/I1343180700"],"apc_list":null,"apc_paid":null,"fwci":0.8158,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70354949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10851","display_name":"Optical Wireless Communication Technologies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10851","display_name":"Optical Wireless Communication Technologies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9433000087738037,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/photogrammetry","display_name":"Photogrammetry","score":0.8717977404594421},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7819774150848389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6633898019790649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6593605875968933},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5926891565322876},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5173991918563843},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.5074233412742615},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4538397490978241},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.42074695229530334},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32839691638946533},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2225835919380188}],"concepts":[{"id":"https://openalex.org/C117455697","wikidata":"https://www.wikidata.org/wiki/Q190149","display_name":"Photogrammetry","level":2,"score":0.8717977404594421},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7819774150848389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6633898019790649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6593605875968933},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5926891565322876},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5173991918563843},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.5074233412742615},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4538397490978241},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.42074695229530334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32839691638946533},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2225835919380188},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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:10.1109/vtcspring.2014.7022840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2014.7022840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 79th Vehicular Technology Conference (VTC Spring)","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":9,"referenced_works":["https://openalex.org/W1957789554","https://openalex.org/W1987563025","https://openalex.org/W2020859417","https://openalex.org/W2047709837","https://openalex.org/W2050835902","https://openalex.org/W2105580634","https://openalex.org/W2133792735","https://openalex.org/W2136296154","https://openalex.org/W3110835153"],"related_works":["https://openalex.org/W2365572566","https://openalex.org/W2394068580","https://openalex.org/W2525880111","https://openalex.org/W2369515111","https://openalex.org/W2051732542","https://openalex.org/W1902541973","https://openalex.org/W1188945172","https://openalex.org/W3049104455","https://openalex.org/W2560018626","https://openalex.org/W2006617085"],"abstract_inverted_index":{"Comphotogrammetry":[0],"is":[1,31,43,79],"a":[2,22,46,53,66],"\"coined":[3],"word\"":[4],"that":[5,42,96],"describes":[6],"the":[7,34,80,91],"merger":[8],"of":[9,36,82,93],"camera":[10,26,47],"communications":[11,29],"and":[12],"photogrammetry":[13],"in":[14],"which":[15,61],"LED":[16,40],"lights":[17,51],"self-identify":[18],"their":[19],"location":[20,72],"within":[21],"photographic":[23],"image":[24,48,75,94],"using":[25,73],"communications.":[27],"Camera":[28],"(CamCom)":[30],"defined":[32],"as":[33,99],"transmission":[35],"data":[37],"via":[38,45],"an":[39],"light":[41],"received":[44],"sensor.":[49],"Multiple":[50],"on":[52],"vehicle":[54,68],"can":[55,62,97],"be":[56,63],"modulated":[57],"with":[58],"positioning":[59,85,100],"information":[60,86],"processed":[64],"by":[65],"second":[67],"to":[69],"determine":[70],"relative":[71],"photogrammetric":[74],"processing":[76],"techniques.":[77],"Photogrammetry":[78],"science":[81],"obtaining":[83],"reliable":[84],"from":[87],"images":[88],"based":[89],"upon":[90],"identification":[92],"features":[95],"serve":[98],"anchors.":[101]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
