{"id":"https://openalex.org/W4408353153","doi":"https://doi.org/10.1109/icassp49660.2025.10889775","title":"GDRIVE: Adaptive Object Detection in Autonomous Vehicles via Graph-Based Feature Learning","display_name":"GDRIVE: Adaptive Object Detection in Autonomous Vehicles via Graph-Based Feature Learning","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353153","doi":"https://doi.org/10.1109/icassp49660.2025.10889775"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5109747579","display_name":"Suyang Xi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134189","display_name":"Xiamen University Malaysia","ror":"https://ror.org/0331wa828","country_code":"MY","type":"education","lineage":["https://openalex.org/I191208505","https://openalex.org/I4210134189"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"SuYang Xi","raw_affiliation_strings":["Xiamen University Malaysia,School of EE and AI,Sepang,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University Malaysia,School of EE and AI,Sepang,Malaysia","institution_ids":["https://openalex.org/I4210134189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103023999","display_name":"Yunhao Liu","orcid":"https://orcid.org/0009-0008-2970-8703"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhao Liu","raw_affiliation_strings":["Fudan University,School of Information Science and Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Information Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101627936","display_name":"Hao Lu","orcid":"https://orcid.org/0000-0001-5882-0536"},"institutions":[{"id":"https://openalex.org/I4210134189","display_name":"Xiamen University Malaysia","ror":"https://ror.org/0331wa828","country_code":"MY","type":"education","lineage":["https://openalex.org/I191208505","https://openalex.org/I4210134189"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Hao Lu","raw_affiliation_strings":["Xiamen University Malaysia,School of Economics and Management,Sepang,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University Malaysia,School of Economics and Management,Sepang,Malaysia","institution_ids":["https://openalex.org/I4210134189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030009218","display_name":"Yi Ding","orcid":"https://orcid.org/0000-0003-3406-9770"},"institutions":[{"id":"https://openalex.org/I4210134189","display_name":"Xiamen University Malaysia","ror":"https://ror.org/0331wa828","country_code":"MY","type":"education","lineage":["https://openalex.org/I191208505","https://openalex.org/I4210134189"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Yi Ding","raw_affiliation_strings":["Xiamen University Malaysia,School of Economics and Management,Sepang,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University Malaysia,School of Economics and Management,Sepang,Malaysia","institution_ids":["https://openalex.org/I4210134189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088961129","display_name":"Hong Ding","orcid":"https://orcid.org/0000-0002-9998-0904"},"institutions":[{"id":"https://openalex.org/I4210134189","display_name":"Xiamen University Malaysia","ror":"https://ror.org/0331wa828","country_code":"MY","type":"education","lineage":["https://openalex.org/I191208505","https://openalex.org/I4210134189"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Hong Ding","raw_affiliation_strings":["Xiamen University Malaysia,School of EE and AI,Sepang,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University Malaysia,School of EE and AI,Sepang,Malaysia","institution_ids":["https://openalex.org/I4210134189"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9958000183105469,"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":0.9958000183105469,"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":0.9559999704360962,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9514999985694885,"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":0.7702545523643494},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6266120672225952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5941649675369263},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48790642619132996},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43191665410995483},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4201436936855316},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38127401471138},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3437262773513794},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1148410439491272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7702545523643494},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6266120672225952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5941649675369263},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48790642619132996},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43191665410995483},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4201436936855316},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38127401471138},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3437262773513794},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1148410439491272},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":18,"referenced_works":["https://openalex.org/W2150066425","https://openalex.org/W2340897893","https://openalex.org/W2748021867","https://openalex.org/W2955889502","https://openalex.org/W2963037989","https://openalex.org/W2964115968","https://openalex.org/W3035175896","https://openalex.org/W3107610277","https://openalex.org/W3110011650","https://openalex.org/W4298092856","https://openalex.org/W4312775058","https://openalex.org/W4313160863","https://openalex.org/W4362703401","https://openalex.org/W4364387772","https://openalex.org/W4390874575","https://openalex.org/W4400679603","https://openalex.org/W6620707391","https://openalex.org/W6851800889"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W4298151006"],"abstract_inverted_index":{"Navigating":[0],"domain":[1,70,131],"shifts":[2],"in":[3,44,62,129,136],"object":[4,60,97,134],"detection":[5,42,61,118,135],"is":[6],"crucial":[7],"for":[8,58,133],"autonomous":[9,63,138],"driving":[10,64,139],"systems,":[11],"particularly":[12],"under":[13],"varying":[14],"weather":[15],"conditions":[16],"and":[17,40,82,91],"diverse":[18],"visual":[19],"perspectives.":[20],"Existing":[21],"Cross-Domain":[22],"Object":[23],"Detection":[24],"methods":[25,108],"often":[26],"struggle":[27],"due":[28],"to":[29,109],"their":[30],"reliance":[31],"on":[32],"broad":[33],"semantic":[34],"models,":[35],"which":[36],"can":[37],"introduce":[38],"biases":[39],"reduce":[41],"accuracy":[43],"novel":[45,55],"environments.":[46],"To":[47],"overcome":[48],"these":[49],"limitations,":[50],"we":[51],"propose":[52],"GDRIVE,":[53],"a":[54,68,79],"framework":[56],"tailored":[57],"robust":[59],"contexts.":[65],"GDRIVE":[66,124],"employs":[67,105],"graph-driven":[69,130],"adaptation":[71,132],"strategy":[72],"that":[73,123],"achieves":[74],"state-of-the-art":[75],"performance":[76],"by":[77],"integrating":[78],"Feature":[80],"Enhancement":[81,103],"Alignment":[83],"module.":[84],"This":[85],"module":[86],"effectively":[87],"reconstructs":[88],"noisy":[89],"nodes":[90],"separates":[92],"domain-specific":[93],"styles":[94],"from":[95],"invariant":[96],"features.":[98],"Furthermore,":[99],"an":[100],"Adaptive":[101],"Graph":[102],"Module":[104],"advanced":[106],"probabilistic":[107],"minimize":[110],"the":[111],"influence":[112],"of":[113],"anomalous":[114],"nodes,":[115],"thus":[116],"improving":[117],"robustness.":[119],"Experimental":[120],"results":[121],"demonstrate":[122],"significantly":[125],"surpasses":[126],"existing":[127],"techniques":[128],"challenging":[137],"scenarios.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}