{"id":"https://openalex.org/W4312900266","doi":"https://doi.org/10.1109/iscas48785.2022.9937779","title":"Video Deep Learning Classification for Autonomous Vehicle Navigation","display_name":"Video Deep Learning Classification for Autonomous Vehicle Navigation","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4312900266","doi":"https://doi.org/10.1109/iscas48785.2022.9937779"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937779","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5105839097","display_name":"Fathi M. Salem","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fathi M. Salem","raw_affiliation_strings":["Neural AI Systems Institute,Neurai-systems,Okemos,Michigan,U.S.A.,48864","Department of ECE, Michigan State University, East Lansing, Michigan, U.S.A"],"affiliations":[{"raw_affiliation_string":"Neural AI Systems Institute,Neurai-systems,Okemos,Michigan,U.S.A.,48864","institution_ids":[]},{"raw_affiliation_string":"Department of ECE, Michigan State University, East Lansing, Michigan, U.S.A","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5105839097"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15884785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1014","last_page":"1017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9968000054359436,"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":0.6908630132675171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6193642616271973},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.549996554851532},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46224498748779297}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6908630132675171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6193642616271973},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.549996554851532},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46224498748779297}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas48785.2022.9937779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937779","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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":9,"referenced_works":["https://openalex.org/W2982408358","https://openalex.org/W3162090017","https://openalex.org/W4206304985","https://openalex.org/W4295270877","https://openalex.org/W4385245566","https://openalex.org/W6730267373","https://openalex.org/W6731001424","https://openalex.org/W6739901393","https://openalex.org/W6758055512"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W3009238340","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"Video":[0],"action":[1,21,95],"classification":[2],"and":[3,85],"vehicle":[4],"navigation":[5],"are":[6,16],"essential":[7],"capabilities":[8],"for":[9,18,69],"autonomous":[10],"vehicles.":[11],"Recurrent":[12],"Neural":[13],"Networks":[14],"(RNNs)":[15],"critical":[17],"predicting":[19],"the":[20,30,33,45,77],"from":[22,55],"prior":[23],"video":[24,48],"frames":[25,49],"as":[26,28],"well":[27],"inferring/classifying":[29],"motion/action":[31],"in":[32],"surroundings,":[34],"be":[35],"it":[36],"structured":[37],"highways":[38],"or":[39],"open":[40],"terrains.":[41],"Coupled":[42],"with":[43],"pre-processing":[44],"sequence":[46],"of":[47,53,80,90],"using":[50],"a":[51],"multitude":[52],"methods,":[54],"Deep":[56],"ConvNets\u2019":[57],"transfer":[58],"learning,":[59],"to":[60,97],"Discrete-Fourier":[61],"Transform":[62],"(DFT),":[63],"RNN":[64],"can":[65],"become":[66],"more":[67],"powerful":[68],"these":[70],"applications.":[71],"In":[72],"this":[73],"work,":[74],"we":[75],"identify":[76],"building":[78],"blocks":[79],"an":[81,88],"effective":[82],"video-navigation":[83],"system,":[84],"then":[86],"show":[87],"example":[89,94],"its":[91,99],"performance":[92],"on":[93],"datasets":[96],"illustrate":[98],"potential":[100],"performance.":[101]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
