{"id":"https://openalex.org/W4292242697","doi":"https://doi.org/10.1142/s0218126623500469","title":"Research on Fast Recognition of Vulnerable Traffic Participants in Intelligent Connected Vehicles on Edge Computing","display_name":"Research on Fast Recognition of Vulnerable Traffic Participants in Intelligent Connected Vehicles on Edge Computing","publication_year":2022,"publication_date":"2022-08-19","ids":{"openalex":"https://openalex.org/W4292242697","doi":"https://doi.org/10.1142/s0218126623500469"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126623500469","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126623500469","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","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/A5102004710","display_name":"Musong Gu","orcid":"https://orcid.org/0000-0001-9705-4336"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Musong Gu","raw_affiliation_strings":["College of Computer Science, Chengdu University, Chengdu, P. R. China","Key Laboratory of Pattern Recognition and Intelligent Information Processing, Institutions of Higher Education of Sichuan Province, Chengdu University, Chengdu, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chengdu University, Chengdu, P. R. China","institution_ids":["https://openalex.org/I4210125143"]},{"raw_affiliation_string":"Key Laboratory of Pattern Recognition and Intelligent Information Processing, Institutions of Higher Education of Sichuan Province, Chengdu University, Chengdu, P. R. China","institution_ids":["https://openalex.org/I4210125143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021527084","display_name":"Jingjing Lyu","orcid":"https://orcid.org/0000-0003-4420-6521"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingjing Lyu","raw_affiliation_strings":["College of Computer Science, Chengdu University, Chengdu, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chengdu University, Chengdu, P. R. China","institution_ids":["https://openalex.org/I4210125143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767417","display_name":"Zhongwen Li","orcid":"https://orcid.org/0000-0002-9196-1311"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwen Li","raw_affiliation_strings":["College of Computer Science, Chengdu University, Chengdu, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chengdu University, Chengdu, P. R. China","institution_ids":["https://openalex.org/I4210125143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007130586","display_name":"Zihan Yan","orcid":"https://orcid.org/0000-0001-5298-4839"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Yan","raw_affiliation_strings":["Department of Mathematics, Southern University of Science and Technology, Shenzhen, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Southern University of Science and Technology, Shenzhen, P. R. China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101519967","display_name":"Wenjie Fan","orcid":"https://orcid.org/0000-0002-0866-5299"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Fan","raw_affiliation_strings":["College of Computer Science, Chengdu University, Chengdu, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chengdu University, Chengdu, P. R. China","institution_ids":["https://openalex.org/I4210125143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021527084"],"corresponding_institution_ids":["https://openalex.org/I4210125143"],"apc_list":null,"apc_paid":null,"fwci":0.4025,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58993664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"32","issue":"03","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9954000115394592,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9954000115394592,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9848999977111816,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7713851928710938},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.7062681913375854},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6984400749206543},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6425814628601074},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5273547768592834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48834845423698425},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4725194573402405},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4568129777908325},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3977355360984802},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34043678641319275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33810338377952576},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.14308124780654907},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10258114337921143}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7713851928710938},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7062681913375854},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6984400749206543},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6425814628601074},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5273547768592834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48834845423698425},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4725194573402405},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4568129777908325},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3977355360984802},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34043678641319275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33810338377952576},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.14308124780654907},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10258114337921143},{"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/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126623500469","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126623500469","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2102605133","https://openalex.org/W2416799949","https://openalex.org/W2512029490","https://openalex.org/W2568772110","https://openalex.org/W2570343428","https://openalex.org/W2618786344","https://openalex.org/W2807848753","https://openalex.org/W2809251854","https://openalex.org/W2963037989","https://openalex.org/W2964050982","https://openalex.org/W3044640865","https://openalex.org/W3156772560","https://openalex.org/W3191277520","https://openalex.org/W3201437289","https://openalex.org/W4214946748"],"related_works":["https://openalex.org/W141508452","https://openalex.org/W832335965","https://openalex.org/W2994939960","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313526662","https://openalex.org/W4312996489","https://openalex.org/W3111395152","https://openalex.org/W3106131444","https://openalex.org/W3216099748"],"abstract_inverted_index":{"Real-time":[0],"and":[1,99,137,155,173,194],"fast":[2,70,174],"recognition":[3,38,49,71,144,165,175],"of":[4,7,22,24,29,73,119,146,161,176,187],"all":[5],"kinds":[6],"traffic":[8,75,178,188],"participants":[9,76],"in":[10,19,87],"intelligent":[11,43],"driving":[12],"has":[13,191],"always":[14],"been":[15],"a":[16,69,162,184],"major":[17],"difficulty":[18],"the":[20,27,42,46,58,95,108,117,120,129,143,147,159],"research":[21],"internet":[23],"vehicles.":[25,44],"With":[26],"advent":[28],"edge":[30,63,110],"computing,":[31],"we":[32],"try":[33],"to":[34,41,53,61,115,182],"deploy":[35],"an":[36],"image":[37,48],"algorithm":[39,50,91],"directly":[40,55],"However,":[45],"original":[47],"is":[51,85,150],"difficult":[52],"be":[54],"deployed":[56],"on":[57,67,78,107,158],"vehicles":[59],"due":[60],"limited":[62],"device":[64],"resources.":[65],"Based":[66],"this,":[68],"model":[72,149,168],"vulnerable":[74,177],"based":[77],"depthwise":[79],"separable":[80],"convolutional":[81,96],"neural":[82],"network":[83],"(DSCYOLO)":[84],"proposed":[86,121,148],"this":[88],"paper.":[89],"The":[90,139,167],"can":[92,169],"significantly":[93],"reduce":[94],"parameter":[97],"quantity":[98],"computing":[100],"load,":[101],"making":[102],"it":[103],"suitable":[104],"for":[105],"deployment":[106],"vehicle-mounted":[109],"embedded":[111],"devices.":[112],"In":[113],"order":[114],"validate":[116],"effectiveness":[118],"method,":[122],"its":[123],"simulation":[124],"results":[125,140],"are":[126],"compared":[127],"with":[128],"main":[130],"target":[131],"detection":[132,172],"models":[133],"Faster":[134],"R-CNN,":[135],"SSD":[136],"YOLOv3.":[138],"show":[141],"that":[142],"time":[145],"reduced":[151],"by":[152],"80.28%,":[153],"66.80%":[154],"86.74%,":[156],"respectively,":[157],"basis":[160],"relatively":[163],"high":[164],"precision.":[166],"realize":[170],"real-time":[171],"participants,":[179],"so":[180],"as":[181],"avoid":[183],"large":[185],"number":[186],"accidents.":[189],"It":[190],"significant":[192],"social":[193],"economic":[195],"benefits.":[196]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
