{"id":"https://openalex.org/W4363676220","doi":"https://doi.org/10.3390/s23083853","title":"Improved Mask R-CNN Multi-Target Detection and Segmentation for Autonomous Driving in Complex Scenes","display_name":"Improved Mask R-CNN Multi-Target Detection and Segmentation for Autonomous Driving in Complex Scenes","publication_year":2023,"publication_date":"2023-04-10","ids":{"openalex":"https://openalex.org/W4363676220","doi":"https://doi.org/10.3390/s23083853","pmid":"https://pubmed.ncbi.nlm.nih.gov/37112194"},"language":"en","primary_location":{"id":"doi:10.3390/s23083853","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23083853","pdf_url":"https://www.mdpi.com/1424-8220/23/8/3853/pdf?version=1681107020","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/8/3853/pdf?version=1681107020","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003941066","display_name":"Shuqi Fang","orcid":"https://orcid.org/0000-0001-8200-5259"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuqi Fang","raw_affiliation_strings":["School of Electronic and Automation, Guilin University of Electronic Technology, Guilin 541004, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Automation, Guilin University of Electronic Technology, Guilin 541004, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392876","display_name":"Bin Zhang","orcid":"https://orcid.org/0000-0002-8479-9301"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Zhang","raw_affiliation_strings":["School of Electronic and Automation, Guilin University of Electronic Technology, Guilin 541004, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Automation, Guilin University of Electronic Technology, Guilin 541004, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102910709","display_name":"Jingyu Hu","orcid":"https://orcid.org/0000-0002-1082-4586"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Hu","raw_affiliation_strings":["School of Electronic and Automation, Guilin University of Electronic Technology, Guilin 541004, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Automation, Guilin University of Electronic Technology, Guilin 541004, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100392876"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":9.2001,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.98637503,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"23","issue":"8","first_page":"3853","last_page":"3853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9904999732971191,"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":0.7529497146606445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7276144027709961},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.707327127456665},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.6395982503890991},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5296822786331177},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5049379467964172},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47851550579071045},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4758415222167969},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46063196659088135},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45024725794792175},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.436758816242218},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11763933300971985}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7529497146606445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7276144027709961},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.707327127456665},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.6395982503890991},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5296822786331177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5049379467964172},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47851550579071045},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4758415222167969},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46063196659088135},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45024725794792175},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.436758816242218},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11763933300971985},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23083853","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23083853","pdf_url":"https://www.mdpi.com/1424-8220/23/8/3853/pdf?version=1681107020","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37112194","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37112194","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10146362","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10146362","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10146362/pdf/sensors-23-03853.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:8599e7bf46fe41faacc33b543af945a9","is_oa":true,"landing_page_url":"https://doaj.org/article/8599e7bf46fe41faacc33b543af945a9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 8, p 3853 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/8/3853/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23083853","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 8; Pages: 3853","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23083853","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23083853","pdf_url":"https://www.mdpi.com/1424-8220/23/8/3853/pdf?version=1681107020","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1369815416","display_name":null,"funder_award_id":"PF20069","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2503116900","display_name":null,"funder_award_id":"62263004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4363676220.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1665214252","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2216125271","https://openalex.org/W2340897893","https://openalex.org/W2549139847","https://openalex.org/W2555182955","https://openalex.org/W2557889580","https://openalex.org/W2565639579","https://openalex.org/W2752782242","https://openalex.org/W2953303875","https://openalex.org/W2957888810","https://openalex.org/W2963150697","https://openalex.org/W2963857746","https://openalex.org/W2981207549","https://openalex.org/W2981537222","https://openalex.org/W2993182889","https://openalex.org/W3034552520","https://openalex.org/W3040318838","https://openalex.org/W3106250896","https://openalex.org/W3113410735","https://openalex.org/W3135683688","https://openalex.org/W3167260844","https://openalex.org/W3194700752","https://openalex.org/W3194790201","https://openalex.org/W3211717751","https://openalex.org/W3212386989","https://openalex.org/W4312616451","https://openalex.org/W4386066020","https://openalex.org/W4386071792"],"related_works":["https://openalex.org/W2969228573","https://openalex.org/W2963690996","https://openalex.org/W2894651257","https://openalex.org/W2993564273","https://openalex.org/W4286907753","https://openalex.org/W3208389169","https://openalex.org/W3134004915","https://openalex.org/W3200590620","https://openalex.org/W4200172193","https://openalex.org/W4303926741"],"abstract_inverted_index":{"Vision-based":[0],"target":[1,20,160],"detection":[2,21,30,39,161,197],"and":[3,22,32,40,142,162,179,198],"segmentation":[4,23,35,41,166,199],"has":[5,195],"been":[6],"an":[7,98],"important":[8],"research":[9],"content":[10],"for":[11,37,159,165],"environment":[12],"perception":[13],"in":[14,42,201],"autonomous":[15,173,210],"driving,":[16],"but":[17],"the":[18,26,53,58,63,72,77,88,107,114,122,139,144,151,169,183,206],"mainstream":[19],"algorithms":[24],"have":[25],"problems":[27],"of":[28,76,205],"low":[29,116],"accuracy":[31,167],"poor":[33],"mask":[34],"quality":[36],"multi-target":[38],"complex":[43],"traffic":[44,203],"scenes.":[45],"To":[46],"address":[47],"this":[48,50],"problem,":[49],"paper":[51],"improved":[52,152],"Mask":[54,153,185],"R-CNN":[55,154,186],"by":[56,133],"replacing":[57],"backbone":[59,108],"network":[60,65,111],"ResNet":[61],"with":[62,66],"ResNeXt":[64],"group":[67],"convolution":[68],"to":[69,87,93,106,112,136],"further":[70],"improve":[71],"feature":[73,95,109],"extraction":[74,110],"capability":[75],"model.":[78],"Furthermore,":[79],"a":[80],"bottom-up":[81],"path":[82],"enhancement":[83],"strategy":[84],"was":[85,104,131],"added":[86,105],"Feature":[89],"Pyramid":[90],"Network":[91],"(FPN)":[92],"achieve":[94],"fusion,":[96],"while":[97],"efficient":[99],"channel":[100],"attention":[101],"module":[102],"(ECA)":[103],"optimize":[113],"high-level":[115],"resolution":[117],"semantic":[118],"information":[119],"graph.":[120],"Finally,":[121],"bounding":[123],"box":[124],"regression":[125],"loss":[126,130,135],"function":[127],"smooth":[128],"L1":[129],"replaced":[132],"CIoU":[134],"speed":[137],"up":[138],"model":[140],"convergence":[141],"minimize":[143],"error.":[145],"The":[146,189],"experimental":[147],"results":[148],"showed":[149,192],"that":[150,193],"algorithm":[155],"achieved":[156],"62.62%":[157],"mAP":[158,164],"57.58%":[163],"on":[168],"publicly":[170,207],"available":[171,208],"CityScapes":[172],"driving":[174,211],"dataset,":[175],"which":[176],"were":[177],"4.73%":[178],"3.96%%":[180],"better":[181],"than":[182],"original":[184],"algorithm,":[187],"respectively.":[188],"migration":[190],"experiments":[191],"it":[194],"good":[196],"effects":[200],"each":[202],"scenario":[204],"BDD":[209],"dataset.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":39},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":10}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
