{"id":"https://openalex.org/W3000483384","doi":"https://doi.org/10.1109/sensors43011.2019.8956637","title":"Live Demonstration: Multiple-Path Depth Imaging with Time-of-Flight Sensors","display_name":"Live Demonstration: Multiple-Path Depth Imaging with Time-of-Flight Sensors","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3000483384","doi":"https://doi.org/10.1109/sensors43011.2019.8956637","mag":"3000483384"},"language":"en","primary_location":{"id":"doi:10.1109/sensors43011.2019.8956637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors43011.2019.8956637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE SENSORS","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/A5041769718","display_name":"Miguel Heredia Conde","orcid":"https://orcid.org/0000-0001-5218-0822"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Miguel Heredia Conde","raw_affiliation_strings":["University of Siegen,Center for Sensorsystems (ZESS),Siegen,Germany,57076","Center for Sensorsystems (ZESS), University of Siegen, Siegen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Siegen,Center for Sensorsystems (ZESS),Siegen,Germany,57076","institution_ids":["https://openalex.org/I206895457"]},{"raw_affiliation_string":"Center for Sensorsystems (ZESS), University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029074414","display_name":"Ayush Bhandari","orcid":"https://orcid.org/0000-0002-4485-2569"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ayush Bhandari","raw_affiliation_strings":["Imperial College London,Department of Electrical and Electronic Engineering,London,U.K.,SW7 2AZ","Department of Electrical and Electronic Engineering, Imperial College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Electrical and Electronic Engineering,London,U.K.,SW7 2AZ","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060687427","display_name":"Thomas Kerstein","orcid":"https://orcid.org/0000-0001-9243-7178"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Kerstein","raw_affiliation_strings":["pmdtechnologies AG,Siegen,Germany,57076","pmdtechnologies AG, Siegen, Germany"],"affiliations":[{"raw_affiliation_string":"pmdtechnologies AG,Siegen,Germany,57076","institution_ids":[]},{"raw_affiliation_string":"pmdtechnologies AG, Siegen, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035028307","display_name":"Bernd Buxbaum","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bernd Buxbaum","raw_affiliation_strings":["pmdtechnologies AG,Siegen,Germany,57076","pmdtechnologies AG, Siegen, Germany"],"affiliations":[{"raw_affiliation_string":"pmdtechnologies AG,Siegen,Germany,57076","institution_ids":[]},{"raw_affiliation_string":"pmdtechnologies AG, Siegen, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042744753","display_name":"Otmar Loffeld","orcid":"https://orcid.org/0000-0002-5413-6582"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Otmar Loffeld","raw_affiliation_strings":["University of Siegen,Center for Sensorsystems (ZESS),Siegen,Germany,57076","Center for Sensorsystems (ZESS), University of Siegen, Siegen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Siegen,Center for Sensorsystems (ZESS),Siegen,Germany,57076","institution_ids":["https://openalex.org/I206895457"]},{"raw_affiliation_string":"Center for Sensorsystems (ZESS), University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041769718"],"corresponding_institution_ids":["https://openalex.org/I206895457"],"apc_list":null,"apc_paid":null,"fwci":3.2961,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.93670639,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":1.0,"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"}},{"id":"https://openalex.org/T11472","display_name":"Analytical Chemistry and Sensors","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/1502","display_name":"Bioengineering"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9739000201225281,"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/computer-science","display_name":"Computer science","score":0.7009891271591187},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6596094369888306},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6349735856056213},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5929481387138367},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.5777973532676697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5398966073989868},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5108168125152588},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.497927188873291},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.44631820917129517},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10945108532905579}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7009891271591187},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6596094369888306},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6349735856056213},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5929481387138367},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.5777973532676697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5398966073989868},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5108168125152588},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.497927188873291},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.44631820917129517},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10945108532905579},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sensors43011.2019.8956637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors43011.2019.8956637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE SENSORS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1527354995","https://openalex.org/W2468716675","https://openalex.org/W2511048156","https://openalex.org/W3011216818","https://openalex.org/W3102597069"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2988126442","https://openalex.org/W2944239605","https://openalex.org/W1873415836","https://openalex.org/W2139783875","https://openalex.org/W4200290804","https://openalex.org/W4312469487"],"abstract_inverted_index":{"By":[0],"considering":[1],"the":[2,9,15,43,52,55,62,69,74,80,85,93],"speed":[3],"of":[4,61],"light":[5],"to":[6,68,79],"be":[7],"finite,":[8],"so-called":[10],"Time-of-Flight":[11],"(ToF)":[12],"sensors":[13,65],"encode":[14],"information":[16],"in":[17,25,36],"delays":[18],"which":[19],"allows":[20],"for":[21],"imaging":[22,34,39,64],"a":[23,48],"scene":[24,53],"new":[26],"ways.":[27],"This":[28],"is":[29,47,77],"very":[30],"different":[31],"from":[32],"traditional":[33],"systems":[35],"that":[37,45,84],"existing":[38],"modalities":[40],"work":[41],"on":[42],"premise":[44],"there":[46],"one-to-one":[49],"mapping":[50],"between":[51,89],"and":[54,92],"pixels.":[56],"In":[57],"this":[58],"way,":[59],"all":[60],"conventional":[63],"are":[66],"agnostic":[67],"time":[70],"information.":[71],"Said":[72],"differently,":[73],"image-formation":[75],"process":[76],"insensitive":[78],"potentially":[81],"distinct":[82],"times":[83],"photons":[86],"spend":[87],"traveling":[88],"their":[90],"sources":[91],"detector.":[94]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
