{"id":"https://openalex.org/W4310254928","doi":"https://doi.org/10.1109/tits.2022.3223167","title":"PSCS-Net: Perception Optimized Image Reconstruction Network for Autonomous Driving Systems","display_name":"PSCS-Net: Perception Optimized Image Reconstruction Network for Autonomous Driving Systems","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4310254928","doi":"https://doi.org/10.1109/tits.2022.3223167"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3223167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3223167","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5071350922","display_name":"Zakaria Bairi","orcid":"https://orcid.org/0000-0002-2991-9825"},"institutions":[{"id":"https://openalex.org/I2802493600","display_name":"Polytechnic School of Algiers","ror":"https://ror.org/05t0zwy08","country_code":"DZ","type":"education","lineage":["https://openalex.org/I2802493600"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Zakaria Bairi","raw_affiliation_strings":["Ecole Militaire Polytechnique, Bordj El Bahri, Algiers, Algeria"],"raw_orcid":"https://orcid.org/0000-0002-2991-9825","affiliations":[{"raw_affiliation_string":"Ecole Militaire Polytechnique, Bordj El Bahri, Algiers, Algeria","institution_ids":["https://openalex.org/I2802493600"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112862576","display_name":"Olfa Ben-Ahmed","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2802931824","display_name":"Institut Pprime","ror":"https://ror.org/05vjdsn22","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I171246369","https://openalex.org/I2802931824","https://openalex.org/I32881790","https://openalex.org/I4210095849"]},{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olfa Ben-Ahmed","raw_affiliation_strings":["UMR CNRS7252, XLIM Research Institute, University of Poitiers, Futuroscope Chasseneuil, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMR CNRS7252, XLIM Research Institute, University of Poitiers, Futuroscope Chasseneuil, France","institution_ids":["https://openalex.org/I2802931824","https://openalex.org/I32881790","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067645970","display_name":"Abdenour Amamra","orcid":"https://orcid.org/0000-0002-4647-0572"},"institutions":[{"id":"https://openalex.org/I2802493600","display_name":"Polytechnic School of Algiers","ror":"https://ror.org/05t0zwy08","country_code":"DZ","type":"education","lineage":["https://openalex.org/I2802493600"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Abdenour Amamra","raw_affiliation_strings":["Ecole Militaire Polytechnique, Bordj El Bahri, Algiers, Algeria"],"raw_orcid":"https://orcid.org/0000-0002-4647-0572","affiliations":[{"raw_affiliation_string":"Ecole Militaire Polytechnique, Bordj El Bahri, Algiers, Algeria","institution_ids":["https://openalex.org/I2802493600"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017851410","display_name":"Abbas Bradai","orcid":"https://orcid.org/0000-0002-6809-4897"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2802931824","display_name":"Institut Pprime","ror":"https://ror.org/05vjdsn22","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I171246369","https://openalex.org/I2802931824","https://openalex.org/I32881790","https://openalex.org/I4210095849"]},{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abbas Bradai","raw_affiliation_strings":["UMR CNRS7252, XLIM Research Institute, University of Poitiers, Futuroscope Chasseneuil, France"],"raw_orcid":"https://orcid.org/0000-0002-6809-4897","affiliations":[{"raw_affiliation_string":"UMR CNRS7252, XLIM Research Institute, University of Poitiers, Futuroscope Chasseneuil, France","institution_ids":["https://openalex.org/I2802931824","https://openalex.org/I32881790","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049173200","display_name":"Kadda Beghdad Bey","orcid":null},"institutions":[{"id":"https://openalex.org/I2802493600","display_name":"Polytechnic School of Algiers","ror":"https://ror.org/05t0zwy08","country_code":"DZ","type":"education","lineage":["https://openalex.org/I2802493600"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Kadda Beghdad Bey","raw_affiliation_strings":["Ecole Militaire Polytechnique, Bordj El Bahri, Algiers, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Militaire Polytechnique, Bordj El Bahri, Algiers, Algeria","institution_ids":["https://openalex.org/I2802493600"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9511,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69640585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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/computer-science","display_name":"Computer science","score":0.8113978505134583},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7554984092712402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6911314129829407},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6172420382499695},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5553664565086365},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5228196382522583},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.45773816108703613},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4510747790336609},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4341602325439453},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4233548939228058},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4218429923057556},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4203126132488251},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41359394788742065},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3118106722831726},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1018608808517456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8113978505134583},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7554984092712402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6911314129829407},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6172420382499695},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5553664565086365},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5228196382522583},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.45773816108703613},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4510747790336609},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4341602325439453},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4233548939228058},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4218429923057556},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4203126132488251},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41359394788742065},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3118106722831726},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1018608808517456},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tits.2022.3223167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3223167","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03875790v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03875790","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems, 2022, ⟨10.1109/TITS.2022.3223167⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W1539551155","https://openalex.org/W1640937687","https://openalex.org/W1686810756","https://openalex.org/W1791560514","https://openalex.org/W1915485278","https://openalex.org/W1989480235","https://openalex.org/W2017761965","https://openalex.org/W2021583769","https://openalex.org/W2036850226","https://openalex.org/W2045518970","https://openalex.org/W2045737896","https://openalex.org/W2047920195","https://openalex.org/W2050781067","https://openalex.org/W2071284784","https://openalex.org/W2073437729","https://openalex.org/W2082017338","https://openalex.org/W2109449402","https://openalex.org/W2115706991","https://openalex.org/W2121927366","https://openalex.org/W2127271355","https://openalex.org/W2129812098","https://openalex.org/W2133590993","https://openalex.org/W2135859872","https://openalex.org/W2151693816","https://openalex.org/W2154304330","https://openalex.org/W2171959453","https://openalex.org/W2219727625","https://openalex.org/W2273561594","https://openalex.org/W2302255633","https://openalex.org/W2331128040","https://openalex.org/W2340897893","https://openalex.org/W2467953365","https://openalex.org/W2543013670","https://openalex.org/W2555730650","https://openalex.org/W2566615221","https://openalex.org/W2618413983","https://openalex.org/W2739457923","https://openalex.org/W2742253356","https://openalex.org/W2757720380","https://openalex.org/W2760843529","https://openalex.org/W2765371849","https://openalex.org/W2782278879","https://openalex.org/W2787056106","https://openalex.org/W2787249689","https://openalex.org/W2798559986","https://openalex.org/W2805759392","https://openalex.org/W2811273502","https://openalex.org/W2883603666","https://openalex.org/W2901383445","https://openalex.org/W2903461360","https://openalex.org/W2905359778","https://openalex.org/W2947068802","https://openalex.org/W2962790536","https://openalex.org/W2963081547","https://openalex.org/W2963322354","https://openalex.org/W2963610939","https://openalex.org/W2964081807","https://openalex.org/W2972887266","https://openalex.org/W2980149757","https://openalex.org/W2982387022","https://openalex.org/W2997669556","https://openalex.org/W3008115128","https://openalex.org/W3015023262","https://openalex.org/W3016088311","https://openalex.org/W3016101116","https://openalex.org/W3034958977","https://openalex.org/W3035574168","https://openalex.org/W3035977435","https://openalex.org/W3045518703","https://openalex.org/W3048134800","https://openalex.org/W3084062067","https://openalex.org/W3102722370","https://openalex.org/W3106469549","https://openalex.org/W3130423852","https://openalex.org/W3209102426","https://openalex.org/W4200596895","https://openalex.org/W4234992901","https://openalex.org/W4250955649","https://openalex.org/W4252713891","https://openalex.org/W4312280868","https://openalex.org/W6637373629","https://openalex.org/W6748357665","https://openalex.org/W6752864450","https://openalex.org/W6753553560","https://openalex.org/W6776110894","https://openalex.org/W6810524705"],"related_works":["https://openalex.org/W1657880117","https://openalex.org/W2595172197","https://openalex.org/W2127970246","https://openalex.org/W2084856301","https://openalex.org/W1001352512","https://openalex.org/W4382618745","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W2748922771","https://openalex.org/W1987128138"],"abstract_inverted_index":{"The":[0,45,120,135],"progress":[1],"achieved":[2],"in":[3,28,51,79,129,151],"transportation":[4,15],"systems":[5,16,23,55],"and":[6,17,43,67,82,158],"artificial":[7],"intelligence":[8],"has":[9],"amplified":[10],"the":[11,58,77,80,88,113,169,189,192],"use":[12],"of":[13,153,191],"intelligent":[14],"Autonomous":[18],"Vehicles":[19],"(AVs).":[20],"Indeed,":[21],"AV":[22,81],"have":[24],"attracted":[25],"much":[26],"research":[27],"recent":[29],"years,":[30],"which":[31],"enabled":[32],"multiple":[33],"autonomous":[34,53,141],"driving":[35,54,142],"tasks,":[36],"including":[37],"scene":[38,166,186],"understanding,":[39],"visual":[40,117,177],"prediction,":[41],"decision-making,":[42],"communication.":[44],"latter":[46],"may":[47],"create":[48],"a":[49,84,95,126],"bottleneck":[50],"low-resource":[52],"that":[56,106],"send":[57],"collected":[59],"images":[60,78],"to":[61,111,172],"remote":[62],"edge":[63],"servers":[64],"for":[65,99,116,176],"processing":[66,159],"decision-making.":[68],"Such":[69],"an":[70,130],"issue":[71],"can":[72],"be":[73],"addressed":[74],"by":[75],"compressing":[76],"ensuring":[83],"good-quality":[85],"reconstruction":[86,105,114,121,156,174],"at":[87],"edge.":[89],"In":[90],"this":[91],"paper,":[92],"we":[93,162],"propose":[94],"deep":[96],"neural":[97],"network":[98],"Compressed":[100],"Sensing":[101],"(CS)":[102],"based":[103],"image":[104,108,155,171],"integrates":[107],"semantic":[109,164,184],"perception":[110],"improve":[112],"process":[115,122],"prediction":[118],"tasks.":[119],"is":[123,138],"optimized":[124],"using":[125],"perception-inspired":[127],"loss":[128],"end-to-end":[131],"model":[132,137],"learning":[133],"process.":[134],"trained":[136],"evaluated":[139],"on":[140,168,182],"car":[143],"datasets.":[144],"Obtained":[145,180],"experimental":[146],"results":[147,181],"outperform":[148],"state-of-the-art":[149],"approaches":[150],"terms":[152],"both":[154],"quality":[157,175],"time.":[160],"Finally,":[161],"perform":[163],"urban":[165,185],"segmentation":[167],"reconstructed":[170],"evaluate":[173],"task":[178],"prediction.":[179],"three":[183],"datasets":[187],"demonstrate":[188],"efficiency":[190],"proposed":[193],"approach.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}