{"id":"https://openalex.org/W4411724915","doi":"https://doi.org/10.1109/iscas56072.2025.11043818","title":"Integrating Bird\u2019s Eye View Fusion and Reinforcement Learning for Efficient Autonomous Intersection Navigation","display_name":"Integrating Bird\u2019s Eye View Fusion and Reinforcement Learning for Efficient Autonomous Intersection Navigation","publication_year":2025,"publication_date":"2025-05-25","ids":{"openalex":"https://openalex.org/W4411724915","doi":"https://doi.org/10.1109/iscas56072.2025.11043818"},"language":"en","primary_location":{"id":"doi:10.1109/iscas56072.2025.11043818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5092842684","display_name":"Ayoub Sassi","orcid":"https://orcid.org/0009-0004-8107-1296"},"institutions":[{"id":"https://openalex.org/I4210092198","display_name":"University of Michigan\u2013Flint","ror":"https://ror.org/01c3xc117","country_code":"US","type":"education","lineage":["https://openalex.org/I4210092198"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ayoub Sassi","raw_affiliation_strings":["University of Michigan-Flint,College of Innovation and Technology,MI,USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan-Flint,College of Innovation and Technology,MI,USA","institution_ids":["https://openalex.org/I4210092198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034479218","display_name":"Emna Zedini","orcid":"https://orcid.org/0000-0002-1498-8457"},"institutions":[{"id":"https://openalex.org/I4210092198","display_name":"University of Michigan\u2013Flint","ror":"https://ror.org/01c3xc117","country_code":"US","type":"education","lineage":["https://openalex.org/I4210092198"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emna Zedini","raw_affiliation_strings":["University of Michigan-Flint,College of Innovation and Technology,MI,USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan-Flint,College of Innovation and Technology,MI,USA","institution_ids":["https://openalex.org/I4210092198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021394822","display_name":"Hakim Ghazzai","orcid":"https://orcid.org/0000-0002-8636-4264"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Hakim Ghazzai","raw_affiliation_strings":["King Abdullah University of Science and Technology (KAUST),Thuwal,Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology (KAUST),Thuwal,Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062714455","display_name":"Gianluca Setti","orcid":"https://orcid.org/0000-0002-2496-1856"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Gianluca Setti","raw_affiliation_strings":["King Abdullah University of Science and Technology (KAUST),Thuwal,Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology (KAUST),Thuwal,Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064012549","display_name":"Marouane Kessentini","orcid":"https://orcid.org/0009-0006-7029-1714"},"institutions":[{"id":"https://openalex.org/I8606887","display_name":"Grand Valley State University","ror":"https://ror.org/001m1hv61","country_code":"US","type":"education","lineage":["https://openalex.org/I8606887"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marouane Kessentini","raw_affiliation_strings":["Grand Valley State University,MI,USA"],"affiliations":[{"raw_affiliation_string":"Grand Valley State University,MI,USA","institution_ids":["https://openalex.org/I8606887"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5092842684"],"corresponding_institution_ids":["https://openalex.org/I4210092198"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06842659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9937000274658203,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7551783323287964},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.7284343242645264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6563302874565125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5267507433891296},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5047529935836792},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4246251583099365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.423827588558197},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3920101523399353},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17254802584648132},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.12359794974327087}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7551783323287964},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.7284343242645264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563302874565125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5267507433891296},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5047529935836792},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4246251583099365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.423827588558197},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3920101523399353},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17254802584648132},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.12359794974327087},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas56072.2025.11043818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2145339207","https://openalex.org/W2968983352","https://openalex.org/W3000501873","https://openalex.org/W3089594962","https://openalex.org/W3117234758","https://openalex.org/W4225937744","https://openalex.org/W4226257065","https://openalex.org/W4317796294","https://openalex.org/W4319879169","https://openalex.org/W4353056919","https://openalex.org/W4384947663","https://openalex.org/W4385151924","https://openalex.org/W4385187397","https://openalex.org/W4390488998","https://openalex.org/W4399767173","https://openalex.org/W4400230039","https://openalex.org/W6741002519","https://openalex.org/W6745935785","https://openalex.org/W6802251749"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"The":[0],"automotive":[1],"industry":[2],"has":[3,21],"seen":[4],"rapid":[5],"advancements":[6],"with":[7],"the":[8,46,73,78,95,105,112,133],"integration":[9],"of":[10,94],"artificial":[11],"intelligence":[12],"(AI),":[13],"particularly":[14],"in":[15],"autonomous":[16,57],"driving.":[17],"While":[18],"significant":[19],"progress":[20],"been":[22],"made,":[23],"navigating":[24],"complex":[25],"traffic":[26],"scenarios,":[27],"such":[28],"as":[29,102],"intersections,":[30],"remains":[31],"challenging":[32],"due":[33],"to":[34,43,55,81,118],"their":[35],"dynamic":[36],"nature.":[37],"Traditional":[38],"rule-based":[39],"systems":[40],"often":[41],"struggle":[42],"adapt,":[44],"prompting":[45],"need":[47],"for":[48,104],"more":[49],"advanced":[50],"solutions.":[51],"This":[52,98],"study":[53],"aims":[54],"enhance":[56],"driving":[58,121],"at":[59],"intersections":[60],"by":[61],"integrating":[62],"bird\u2019s":[63],"eye":[64],"view":[65,93,100],"(BEV)":[66],"fusion":[67],"and":[68,125],"reinforcement":[69],"learning":[70],"(RL).":[71],"Using":[72],"CARLA":[74],"simulator,":[75],"we":[76],"fine-tune":[77],"UNetXST":[79],"model":[80],"fuse":[82],"multiple":[83],"camera":[84],"perspectives":[85],"into":[86],"a":[87,91],"BEV":[88],"representation,":[89],"providing":[90],"holistic":[92],"vehicle\u2019s":[96],"surroundings.":[97],"comprehensive":[99],"serves":[101],"input":[103],"RL":[106],"agent,":[107],"which":[108],"is":[109],"trained":[110],"using":[111],"proximal":[113],"policy":[114],"optimization":[115],"(PPO)":[116],"algorithm":[117],"learn":[119],"optimized":[120],"strategies,":[122],"avoid":[123],"collisions,":[124],"ensure":[126],"efficient":[127],"navigation.":[128],"Our":[129],"results":[130],"show":[131],"that":[132],"proposed":[134],"framework":[135],"outperforms":[136],"baseline":[137],"techniques.":[138]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
