{"id":"https://openalex.org/W2529938554","doi":"https://doi.org/10.1109/ebccsp.2016.7605086","title":"Feature detection and tracking with the dynamic and active-pixel vision sensor (DAVIS)","display_name":"Feature detection and tracking with the dynamic and active-pixel vision sensor (DAVIS)","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2529938554","doi":"https://doi.org/10.1109/ebccsp.2016.7605086","mag":"2529938554"},"language":"en","primary_location":{"id":"doi:10.1109/ebccsp.2016.7605086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ebccsp.2016.7605086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://infoscience.epfl.ch/handle/20.500.14299/128065","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068243853","display_name":"David Tedaldi","orcid":null},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"David Tedaldi","raw_affiliation_strings":["Robotics and Perception Group, University of Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Robotics and Perception Group, University of Zurich, Switzerland","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068567652","display_name":"Guillermo Gallego","orcid":"https://orcid.org/0000-0002-2672-9241"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Guillermo Gallego","raw_affiliation_strings":["Robotics and Perception Group, University of Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Robotics and Perception Group, University of Zurich, Switzerland","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083488340","display_name":"Elias Mueggler","orcid":"https://orcid.org/0000-0002-8008-443X"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Elias Mueggler","raw_affiliation_strings":["Robotics and Perception Group, University of Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Robotics and Perception Group, University of Zurich, Switzerland","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057116316","display_name":"Davide Scaramuzza","orcid":"https://orcid.org/0000-0002-3831-6778"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Davide Scaramuzza","raw_affiliation_strings":["Robotics and Perception Group, University of Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Robotics and Perception Group, University of Zurich, Switzerland","institution_ids":["https://openalex.org/I202697423"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068243853"],"corresponding_institution_ids":["https://openalex.org/I202697423"],"apc_list":null,"apc_paid":null,"fwci":6.1601,"has_fulltext":false,"cited_by_count":103,"citation_normalized_percentile":{"value":0.96768696,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9995999932289124,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9995999932289124,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9994999766349792,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.8061652183532715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8005542755126953},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7945923805236816},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6427292823791504},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.5657310485839844},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5115845799446106},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4537319540977478},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.4446975886821747},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.42438799142837524},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4208080768585205},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.420434832572937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8061652183532715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8005542755126953},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7945923805236816},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6427292823791504},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.5657310485839844},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5115845799446106},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4537319540977478},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.4446975886821747},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.42438799142837524},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4208080768585205},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.420434832572937},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ebccsp.2016.7605086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ebccsp.2016.7605086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP)","raw_type":"proceedings-article"},{"id":"pmh:doi:10.5167/uzh-125438","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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"},{"id":"pmh:oai:infoscience.epfl.ch:220002","is_oa":false,"landing_page_url":"http://infoscience.epfl.ch/record/220002","pdf_url":null,"source":{"id":"https://openalex.org/S4306400488","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:infoscience.tind.io:220002","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/128065","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:infoscience.tind.io:220002","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/128065","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W206948248","https://openalex.org/W1967377294","https://openalex.org/W1975501109","https://openalex.org/W1976067945","https://openalex.org/W1980178290","https://openalex.org/W2016574277","https://openalex.org/W2049981393","https://openalex.org/W2070304943","https://openalex.org/W2097098310","https://openalex.org/W2111308925","https://openalex.org/W2118877769","https://openalex.org/W2120486516","https://openalex.org/W2129826981","https://openalex.org/W2130103520","https://openalex.org/W2137281791","https://openalex.org/W2138787968","https://openalex.org/W2141840773","https://openalex.org/W2144187604","https://openalex.org/W2144205281","https://openalex.org/W2145023731","https://openalex.org/W2149211411","https://openalex.org/W2154167842","https://openalex.org/W2155056756","https://openalex.org/W3040777582","https://openalex.org/W6676770471","https://openalex.org/W6677548441","https://openalex.org/W6679388247","https://openalex.org/W6780413204","https://openalex.org/W6977624448"],"related_works":["https://openalex.org/W1578117154","https://openalex.org/W2542256560","https://openalex.org/W2337415362","https://openalex.org/W1543936162","https://openalex.org/W2575060017","https://openalex.org/W1971776229","https://openalex.org/W4312857205","https://openalex.org/W121273120","https://openalex.org/W2740820121","https://openalex.org/W2054235656"],"abstract_inverted_index":{"Because":[0],"standard":[1,58],"cameras":[2],"sample":[3],"the":[4,17,66,73,96,107,110,115,122,130,136,145,149,165,170,174,184,195,205],"scene":[5],"at":[6,91],"constant":[7],"time":[8,19,132],"intervals,":[9],"they":[10],"do":[11],"not":[12],"provide":[13,35],"any":[14],"information":[15],"in":[16,65,121,129],"blind":[18,42,131],"between":[20,76,133],"subsequent":[21,78],"frames.":[22],"However,":[23],"for":[24],"many":[25],"high-speed":[26],"robotic":[27],"and":[28,60,101,109,125],"vision":[29,51],"applications,":[30],"it":[31],"is":[32,179,198],"crucial":[33],"to":[34,99,182],"high-frequency":[36],"measurement":[37],"updates":[38],"also":[39],"during":[40],"this":[41],"time.":[43],"This":[44],"can":[45],"be":[46],"achieved":[47],"using":[48,105,135,186],"a":[49,57],"novel":[50],"sensor,":[52],"called":[53],"DAVIS,":[54,150],"which":[55,163],"combines":[56],"camera":[59],"an":[61,81,187],"asynchronous":[62,82],"event-based":[63,177],"sensor":[64],"same":[67],"pixel":[68],"array.":[69],"The":[70,192],"DAVIS":[71],"encodes":[72],"visual":[74,103,161],"content":[75],"two":[77],"frames":[79,108,124,134],"by":[80,114,173,204],"stream":[83,137],"of":[84,138,148,167,169,194],"events":[85,171],"that":[86],"convey":[87],"pixel-level":[88],"brightness":[89],"changes":[90],"microsecond":[92],"resolution.":[93],"We":[94],"present":[95],"first":[97,119],"algorithm":[98,178],"detect":[100],"track":[102,183],"features":[104,151,185],"both":[106],"event":[111],"data":[112,202],"provided":[113],"DAVIS.":[116,206],"Features":[117],"are":[118,152,164],"detected":[120],"grayscale":[123],"then":[126],"tracked":[127],"asynchronously":[128],"events.":[139],"To":[140],"best":[141],"take":[142],"into":[143],"account":[144],"hybrid":[146],"characteristics":[147],"built":[153],"based":[154],"on":[155,200],"large,":[156],"spatial":[157],"contrast":[158],"variations":[159],"(i.e.,":[160],"edges),":[162],"source":[166],"most":[168],"generated":[172],"sensor.":[175],"An":[176],"further":[180],"presented":[181],"iterative,":[188],"geometric":[189],"registration":[190],"approach.":[191],"performance":[193],"proposed":[196],"method":[197],"evaluated":[199],"real":[201],"acquired":[203]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
