{"id":"https://openalex.org/W4413018672","doi":"https://doi.org/10.1109/iv64158.2025.11097716","title":"RPT<sup>2</sup>: Integrating Radar-Point Transformer and Tracker for Efficient Moving Object Recognition","display_name":"RPT<sup>2</sup>: Integrating Radar-Point Transformer and Tracker for Efficient Moving Object Recognition","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4413018672","doi":"https://doi.org/10.1109/iv64158.2025.11097716"},"language":"en","primary_location":{"id":"doi:10.1109/iv64158.2025.11097716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv64158.2025.11097716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Intelligent Vehicles Symposium (IV)","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/A5090484367","display_name":"Jun Nagata","orcid":"https://orcid.org/0000-0001-6231-7490"},"institutions":[{"id":"https://openalex.org/I4210132650","display_name":"Denso (Japan)","ror":"https://ror.org/04hkpfa76","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210132650"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Nagata","raw_affiliation_strings":["Denso IT Laboratory,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Denso IT Laboratory,Tokyo,Japan","institution_ids":["https://openalex.org/I4210132650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033331498","display_name":"Tatsuya Ueda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132650","display_name":"Denso (Japan)","ror":"https://ror.org/04hkpfa76","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210132650"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuya Ueda","raw_affiliation_strings":["Denso IT Laboratory,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Denso IT Laboratory,Tokyo,Japan","institution_ids":["https://openalex.org/I4210132650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059901643","display_name":"Chiharu Yamano","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132650","display_name":"Denso (Japan)","ror":"https://ror.org/04hkpfa76","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210132650"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chiharu Yamano","raw_affiliation_strings":["Denso IT Laboratory,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Denso IT Laboratory,Tokyo,Japan","institution_ids":["https://openalex.org/I4210132650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210132650"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1773","last_page":"1778"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13382","display_name":"Robotics and Automated Systems","score":0.9729999899864197,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13382","display_name":"Robotics and Automated Systems","score":0.9729999899864197,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9592000246047974,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9517999887466431,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6890749931335449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6312491297721863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5912284851074219},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5450196862220764},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.539921224117279},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5267885327339172},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4987518787384033},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.42398083209991455},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3945036828517914},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20584005117416382},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09990844130516052}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6890749931335449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6312491297721863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5912284851074219},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5450196862220764},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.539921224117279},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5267885327339172},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4987518787384033},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.42398083209991455},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3945036828517914},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20584005117416382},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09990844130516052},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv64158.2025.11097716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv64158.2025.11097716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2891649842","https://openalex.org/W2939308603","https://openalex.org/W3035574168","https://openalex.org/W3096609285","https://openalex.org/W3173916380","https://openalex.org/W4214624153","https://openalex.org/W4214755140","https://openalex.org/W4226345352","https://openalex.org/W4284973405","https://openalex.org/W4285812971","https://openalex.org/W4308068569","https://openalex.org/W4308080199","https://openalex.org/W4310925503","https://openalex.org/W4367154228","https://openalex.org/W4372260275","https://openalex.org/W4383097602","https://openalex.org/W4383108765","https://openalex.org/W4385800972","https://openalex.org/W4389317747","https://openalex.org/W4399343147","https://openalex.org/W6739778489","https://openalex.org/W6763422710","https://openalex.org/W6846166657"],"related_works":["https://openalex.org/W4310420093","https://openalex.org/W3154635860","https://openalex.org/W4226332880","https://openalex.org/W4298054035","https://openalex.org/W2313564459","https://openalex.org/W4200631625","https://openalex.org/W2591718649","https://openalex.org/W4313855562","https://openalex.org/W2091422131","https://openalex.org/W2742737769"],"abstract_inverted_index":{"Object":[0],"detection":[1,180],"from":[2,28,99],"radar":[3,29,45,57,64],"data":[4],"is":[5],"a":[6,55,63,68,84,88,91,174],"crucial":[7],"task":[8],"for":[9,90,177],"understanding":[10],"dynamic":[11],"environments,":[12],"particularly":[13],"in":[14,44,82,128,181],"adverse":[15],"weather":[16],"conditions":[17],"where":[18,162],"other":[19],"sensors":[20],"may":[21],"struggle.":[22],"However,":[23],"predicting":[24],"bounding":[25],"boxes":[26],"(BBoxes)":[27],"point":[30,65],"clouds":[31],"poses":[32],"significant":[33],"challenges":[34],"due":[35],"to":[36,71,94,118],"the":[37,100,116,120,125,133,141,147,159],"sparsity":[38],"and":[39,75,122,149],"high":[40],"noise":[41],"levels":[42],"inherent":[43],"data.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"introduce":[51],"RPT<sup":[52,155],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[53,156],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>,":[54],"novel":[56],"BBox":[58],"prediction":[59],"framework":[60],"that":[61],"integrates":[62],"transformer":[66],"with":[67],"point-based":[69],"tracker":[70,86,134],"effectively":[72],"leverage":[73],"spatial":[74,97],"temporal":[76,105],"information.":[77],"The":[78],"key":[79],"innovation":[80],"lies":[81],"using":[83],"lightweight":[85],"as":[87,173],"query":[89],"transformer-based":[92],"decoder":[93,117,148],"retrieve":[95],"relevant":[96],"features":[98],"encoded":[101],"representation":[102],"while":[103,167],"leveraging":[104],"information,":[106],"including":[107],"2D":[108],"velocity":[109,123],"beyond":[110],"range":[111],"velocity.":[112],"This":[113],"design":[114],"enables":[115],"align":[119],"orientation":[121],"of":[124,137,143],"object,":[126],"resulting":[127],"more":[129],"accurate":[130],"predictions.":[131],"Furthermore,":[132],"identifies":[135],"points":[136],"interest,":[138],"significantly":[139],"reducing":[140],"number":[142],"queries":[144],"processed":[145],"by":[146],"improving":[150],"computational":[151],"efficiency.":[152],"We":[153],"evaluated":[154],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[157],"on":[158],"nuScenes":[160],"dataset,":[161],"it":[163],"delivers":[164],"outstanding":[165],"performance":[166],"maintaining":[168],"efficiency,":[169],"demonstrating":[170],"its":[171],"potential":[172],"robust":[175],"solution":[176],"radar-based":[178],"object":[179],"real-world":[182],"scenarios.":[183]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
