{"id":"https://openalex.org/W4206552559","doi":"https://doi.org/10.1109/avss52988.2021.9663801","title":"Introspective Closed-Loop Perception for Energy-efficient Sensors","display_name":"Introspective Closed-Loop Perception for Energy-efficient Sensors","publication_year":2021,"publication_date":"2021-11-16","ids":{"openalex":"https://openalex.org/W4206552559","doi":"https://doi.org/10.1109/avss52988.2021.9663801"},"language":"en","primary_location":{"id":"doi:10.1109/avss52988.2021.9663801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss52988.2021.9663801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 17th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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/A5062992482","display_name":"Kruttidipta Samal","orcid":"https://orcid.org/0000-0002-9824-995X"},"institutions":[{"id":"https://openalex.org/I2800444561","display_name":"Atlanta Technical College","ror":"https://ror.org/01s3vfp47","country_code":"US","type":"education","lineage":["https://openalex.org/I2800444561"]},{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kruttidipta Samal","raw_affiliation_strings":["Georgia Tech, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Tech, Atlanta, USA","institution_ids":["https://openalex.org/I2800444561","https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004682100","display_name":"Marilyn Wolf","orcid":"https://orcid.org/0000-0002-4742-0841"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marilyn Wolf","raw_affiliation_strings":["University of Nebraska-Lincoln, Lincoln, USA"],"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln, Lincoln, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009591041","display_name":"Saibal Mukhopadhyay","orcid":"https://orcid.org/0000-0002-8894-3390"},"institutions":[{"id":"https://openalex.org/I2800444561","display_name":"Atlanta Technical College","ror":"https://ror.org/01s3vfp47","country_code":"US","type":"education","lineage":["https://openalex.org/I2800444561"]},{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saibal Mukhopadhyay","raw_affiliation_strings":["Georgia Tech, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Tech, Atlanta, USA","institution_ids":["https://openalex.org/I2800444561","https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062992482"],"corresponding_institution_ids":["https://openalex.org/I130701444","https://openalex.org/I2800444561"],"apc_list":null,"apc_paid":null,"fwci":0.4011,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61943478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9958000183105469,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9958000183105469,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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-science","display_name":"Computer science","score":0.7084980010986328},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5950922966003418},{"id":"https://openalex.org/keywords/feedback-loop","display_name":"Feedback loop","score":0.5537518262863159},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5440433025360107},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5203627943992615},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4335448741912842},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.41836944222450256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36983081698417664},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36189666390419006},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.329335480928421},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.20341238379478455},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.11419624090194702},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09300321340560913},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09060290455818176},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08262309432029724}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7084980010986328},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5950922966003418},{"id":"https://openalex.org/C186886427","wikidata":"https://www.wikidata.org/wiki/Q5441213","display_name":"Feedback loop","level":2,"score":0.5537518262863159},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5440433025360107},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5203627943992615},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4335448741912842},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.41836944222450256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36983081698417664},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36189666390419006},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.329335480928421},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.20341238379478455},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.11419624090194702},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09300321340560913},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09060290455818176},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08262309432029724},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss52988.2021.9663801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss52988.2021.9663801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 17th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W1710263838","https://openalex.org/W1861492603","https://openalex.org/W1970430984","https://openalex.org/W2115579991","https://openalex.org/W2146553181","https://openalex.org/W2252355370","https://openalex.org/W2626967530","https://openalex.org/W2794141774","https://openalex.org/W2911488577","https://openalex.org/W2913233203","https://openalex.org/W2958435308","https://openalex.org/W2967435224","https://openalex.org/W3035564946","https://openalex.org/W3104218139","https://openalex.org/W3110759253","https://openalex.org/W3112985269","https://openalex.org/W3149040057","https://openalex.org/W3172560577","https://openalex.org/W4293584584","https://openalex.org/W6617145748","https://openalex.org/W6639102338","https://openalex.org/W6739651123","https://openalex.org/W6750227808","https://openalex.org/W6773392532"],"related_works":["https://openalex.org/W2351655225","https://openalex.org/W4391382592","https://openalex.org/W4387253492","https://openalex.org/W4308080241","https://openalex.org/W4205668735","https://openalex.org/W4360585155","https://openalex.org/W3018620108","https://openalex.org/W2570343428","https://openalex.org/W54804244","https://openalex.org/W4382050342"],"abstract_inverted_index":{"Task-driven":[0],"closed-loop":[1],"perception-sensing":[2],"systems":[3,17],"have":[4,18],"shown":[5],"considerable":[6],"energy":[7],"savings":[8],"over":[9],"traditional":[10],"open-loop":[11],"systems.":[12],"Prior":[13],"works":[14],"on":[15,42,88,95,105,123],"such":[16,23],"used":[19,66],"simple":[20],"feedback":[21,72,82,100],"signals":[22],"as":[24,67,115,117],"object":[25,136],"detections":[26],"and":[27,91,139],"tracking":[28],"which":[29,109],"led":[30],"to":[31,50,56,74],"poor":[32],"perception":[33],"quality.":[34],"This":[35],"paper":[36],"proposes":[37],"an":[38],"improved":[39],"approach":[40],"based":[41,87,94,104],"perceptual":[43],"risk.":[44],"First,":[45],"a":[46,58,68,71],"method":[47],"is":[48,65],"proposed":[49,132],"estimate":[51,64],"the":[52,92,106,131],"risk":[53,63],"of":[54,60,143],"failure":[55],"detect":[57],"target":[59],"interest.":[61],"The":[62],"signal":[69],"in":[70],"system":[73,133],"determine":[75],"how":[76],"sensor":[77,113],"resources":[78,114],"are":[79,84,102],"utilized.":[80],"Two":[81],"algorithms":[83,101],"proposed:":[85],"one":[86],"proportional/integral":[89],"methods":[90],"other":[93],"0/1":[96],"(bang-bang)":[97],"methods.":[98],"These":[99],"compared":[103],"efficiency":[107],"with":[108],"they":[110],"use":[111],"available":[112],"well":[116],"their":[118],"absolute":[119],"detection":[120,137],"rates.":[121],"Experiments":[122],"two":[124],"real-world":[125],"autonomous":[126],"driving":[127],"datasets":[128],"show":[129],"that":[130],"has":[134],"better":[135],"recall":[138],"lower":[140],"marginal":[141],"cost":[142],"prediction":[144],"than":[145],"prior":[146],"work.":[147]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}