{"id":"https://openalex.org/W7124150099","doi":"https://doi.org/10.1109/codit66093.2025.11321750","title":"Quantify Transformer for End-to-End BEV Scene Understanding","display_name":"Quantify Transformer for End-to-End BEV Scene Understanding","publication_year":2025,"publication_date":"2025-07-15","ids":{"openalex":"https://openalex.org/W7124150099","doi":"https://doi.org/10.1109/codit66093.2025.11321750"},"language":null,"primary_location":{"id":"doi:10.1109/codit66093.2025.11321750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit66093.2025.11321750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 11th International Conference on Control, Decision and Information Technologies (CoDIT)","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":null,"display_name":"Jia-Yi Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jia-Yi Zhao","raw_affiliation_strings":["Feng Chia University,Department of Automatic Control Engineering,Taichung,R.O.C,40724"],"affiliations":[{"raw_affiliation_string":"Feng Chia University,Department of Automatic Control Engineering,Taichung,R.O.C,40724","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111244621","display_name":"Chui-Hong Chiu","orcid":"https://orcid.org/0009-0002-6837-6891"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chui-Hong Chiu","raw_affiliation_strings":["Feng Chia University,Department of Automatic Control Engineering,Taichung,R.O.C,40724"],"affiliations":[{"raw_affiliation_string":"Feng Chia University,Department of Automatic Control Engineering,Taichung,R.O.C,40724","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123038199","display_name":"Yu-Chen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Chen Lin","raw_affiliation_strings":["Feng Chia University,Department of Automatic Control Engineering,Taichung,R.O.C,40724"],"affiliations":[{"raw_affiliation_string":"Feng Chia University,Department of Automatic Control Engineering,Taichung,R.O.C,40724","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069555477","display_name":"Kuan-Chu Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125264","display_name":"R2M Solution (Italy)","ror":"https://ror.org/0385et328","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210125264"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Kuan-Chu Hou","raw_affiliation_strings":["IoT Solution Development at AdasEco Inc"],"affiliations":[{"raw_affiliation_string":"IoT Solution Development at AdasEco Inc","institution_ids":["https://openalex.org/I4210125264"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4880106"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.83038439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1870","last_page":"1875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.4311999976634979,"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":0.4311999976634979,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.2556999921798706,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10531","display_name":"Advanced Vision and Imaging","score":0.2272000014781952,"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/adaptability","display_name":"Adaptability","score":0.6079999804496765},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5110999941825867},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5049999952316284},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4790000021457672},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4447999894618988},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3874000012874603},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.3727000057697296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6585000157356262},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6359000205993652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6330000162124634},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6079999804496765},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5110999941825867},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5049999952316284},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4790000021457672},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4447999894618988},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3874000012874603},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.34689998626708984},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.31290000677108765},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.30709999799728394},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2770000100135803},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C193581530","wikidata":"https://www.wikidata.org/wiki/Q683778","display_name":"Structured light","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit66093.2025.11321750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit66093.2025.11321750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 11th International Conference on Control, Decision and Information Technologies (CoDIT)","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":19,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2618530766","https://openalex.org/W3035049382","https://openalex.org/W3035574168","https://openalex.org/W3109395584","https://openalex.org/W3138516171","https://openalex.org/W3193266637","https://openalex.org/W4214530037","https://openalex.org/W4312894406","https://openalex.org/W4320002769","https://openalex.org/W4382450829","https://openalex.org/W4382464460","https://openalex.org/W4386071503","https://openalex.org/W4386076400","https://openalex.org/W4386882931","https://openalex.org/W4392944404","https://openalex.org/W4403943748","https://openalex.org/W4413947039"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"3D":[1,60,99,119],"perception":[2,61,100,120],"is":[3,19],"crucial":[4],"for":[5,117],"autonomous":[6],"driving":[7,126],"systems.":[8],"In":[9],"this":[10],"paper,":[11],"a":[12,43,54],"novel":[13],"lightweight":[14],"bird\u2019s-eye":[15],"view":[16],"(BEV)":[17],"architecture":[18],"introduced,":[20],"which":[21,58],"fully":[22],"utilizes":[23],"the":[24,31,89,110,115],"camera":[25,51],"data":[26],"and":[27,36,69,95,112,121],"aims":[28],"to":[29,48],"improve":[30],"efficiency":[32,96],"of":[33,72,84,114],"perspective":[34,45],"conversion":[35],"feature":[37],"representation.":[38],"The":[39,105],"proposed":[40,86],"method":[41],"use":[42],"Transformer-like":[44],"transformation":[46],"module":[47],"efficiently":[49],"convert":[50],"images":[52],"into":[53],"unified":[55],"BEV":[56],"representation,":[57],"enables":[59],"including":[62],"detection,":[63],"semantic":[64],"maps":[65],"in":[66,97,124],"dynamic":[67],"scenes,":[68],"trajectory":[70],"prediction":[71],"surrounding":[73],"vehicles":[74],"without":[75],"relying":[76],"on":[77,88],"LiDAR":[78],"or":[79],"other":[80],"sensors.":[81],"Experimental":[82],"results":[83],"our":[85],"model":[87],"nuScenes":[90],"dataset":[91],"show":[92],"improved":[93],"accuracy":[94],"integrated":[98],"tasks":[101],"using":[102],"camera-only":[103],"inputs.":[104],"ablation":[106],"study":[107],"further":[108],"emphasizes":[109],"scalability":[111],"adaptability":[113],"framework":[116],"real-time":[118],"environment":[122],"understanding":[123],"complex":[125],"situations.":[127]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2026-01-15T00:00:00"}
