{"id":"https://openalex.org/W2903783227","doi":"https://doi.org/10.1109/itsc.2018.8569590","title":"Learning Super-resolved Depth from Active Gated Imaging","display_name":"Learning Super-resolved Depth from Active Gated Imaging","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2903783227","doi":"https://doi.org/10.1109/itsc.2018.8569590","mag":"2903783227"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2018.8569590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2018.8569590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1912.02889","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tobias Gruber","orcid":null},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Gruber","raw_affiliation_strings":["Daimler AG, RD/AFU, Ulm, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daimler AG, RD/AFU, Ulm, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mariia Kokhova","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mariia Kokhova","raw_affiliation_strings":["Institute for Photogrammetry, University of Stuttgart, Stuttgart, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Photogrammetry, University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Werner Ritter","orcid":null},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Werner Ritter","raw_affiliation_strings":["Daimler AG, RD/AFU, Ulm, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daimler AG, RD/AFU, Ulm, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Norbert Haala","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Norbert Haala","raw_affiliation_strings":["Institute for Photogrammetry, University of Stuttgart, Stuttgart, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Photogrammetry, University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"last","author":{"id":null,"display_name":"Klaus Dictmayer","orcid":null},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Dictmayer","raw_affiliation_strings":["Control and Microtechnology, Ulm University, Ulm, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control and Microtechnology, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5788,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84346378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3051","last_page":"3058"},"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/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9948999881744385,"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/pixel","display_name":"Pixel","score":0.7207000255584717},{"id":"https://openalex.org/keywords/measured-depth","display_name":"Measured depth","score":0.45170000195503235},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.42649999260902405},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.39430001378059387},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.3619999885559082},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.335099995136261},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.32199999690055847}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7207000255584717},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6392999887466431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6105999946594238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5532000064849854},{"id":"https://openalex.org/C113346285","wikidata":"https://www.wikidata.org/wiki/Q6804193","display_name":"Measured depth","level":2,"score":0.45170000195503235},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.42649999260902405},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.335099995136261},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C78434282","wikidata":"https://www.wikidata.org/wiki/Q11656","display_name":"Diode","level":2,"score":0.3127000033855438},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.28130000829696655},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.27630001306533813},{"id":"https://openalex.org/C2776010242","wikidata":"https://www.wikidata.org/wiki/Q4677575","display_name":"Active perception","level":3,"score":0.26440000534057617},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/itsc.2018.8569590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2018.8569590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1912.02889","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.02889","pdf_url":"https://arxiv.org/pdf/1912.02889","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1912.02889","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.02889","pdf_url":"https://arxiv.org/pdf/1912.02889","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1987316378","https://openalex.org/W2004682428","https://openalex.org/W2024235615","https://openalex.org/W2024450179","https://openalex.org/W2033209267","https://openalex.org/W2041576007","https://openalex.org/W2067125603","https://openalex.org/W2075057960","https://openalex.org/W2079528473","https://openalex.org/W2093380449","https://openalex.org/W2137983211","https://openalex.org/W2160403306","https://openalex.org/W2167823773","https://openalex.org/W2340461150","https://openalex.org/W2761622991","https://openalex.org/W2896112403","https://openalex.org/W4300402905","https://openalex.org/W6685261749"],"related_works":[],"abstract_inverted_index":{"Environment":[0],"perception":[1],"for":[2],"autonomous":[3],"driving":[4],"is":[5,87],"doomed":[6],"by":[7],"the":[8],"trade-off":[9],"between":[10,57,80],"range-accuracy":[11],"and":[12,51,64],"resolution:":[13],"current":[14],"sensors":[15],"that":[16],"deliver":[17],"very":[18],"precise":[19],"depth":[20,39,65,69,85],"information":[21,40,86],"are":[22],"usually":[23],"restricted":[24],"to":[25],"low":[26],"resolution":[27],"because":[28],"of":[29,60,76],"technology":[30],"or":[31],"cost":[32],"limitations.":[33],"In":[34],"this":[35],"work,":[36],"we":[37],"exploit":[38],"from":[41],"an":[42],"active":[43],"gated":[44,62],"imaging":[45],"system":[46],"based":[47],"on":[48],"cost-sensitive":[49],"diode":[50],"CMOS":[52],"technology.":[53],"Learning":[54],"a":[55,67],"mapping":[56],"pixel":[58,91],"intensities":[59],"three":[61],"slices":[63],"produces":[66],"super-resolved":[68],"map":[70],"image":[71],"with":[72,90],"respectable":[73],"relative":[74],"accuracy":[75],"5":[77],"%":[78],"in":[79],"25-80":[81],"m.":[82],"By":[83],"design,":[84],"perfectly":[88],"aligned":[89],"intensity":[92],"values.":[93]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2018-12-22T00:00:00"}
