{"id":"https://openalex.org/W4414486214","doi":"https://doi.org/10.1109/iccv51701.2025.02420","title":"DoppDrive: Doppler-Driven Temporal Aggregation for Improved Radar Object Detection","display_name":"DoppDrive: Doppler-Driven Temporal Aggregation for Improved Radar Object Detection","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4414486214","doi":"https://doi.org/10.1109/iccv51701.2025.02420"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.02420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.02420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.12330","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080259053","display_name":"Yuval Haitman","orcid":"https://orcid.org/0000-0002-6364-4028"},"institutions":[{"id":"https://openalex.org/I4210092162","display_name":"General Electric (Israel)","ror":"https://ror.org/00fymn751","country_code":"IL","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I4210092162"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yuval Haitman","raw_affiliation_strings":["General Motors, Technical Center Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"General Motors, Technical Center Israel","institution_ids":["https://openalex.org/I4210092162"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076874228","display_name":"Oded Bialer","orcid":"https://orcid.org/0000-0001-8521-3416"},"institutions":[{"id":"https://openalex.org/I4210092162","display_name":"General Electric (Israel)","ror":"https://ror.org/00fymn751","country_code":"IL","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I4210092162"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Oded Bialer","raw_affiliation_strings":["General Motors, Technical Center Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"General Motors, Technical Center Israel","institution_ids":["https://openalex.org/I4210092162"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210092162"],"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":"26085","last_page":"26094"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9973999857902527,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9973999857902527,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9912999868392944,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9555000066757202,"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/object-detection","display_name":"Object detection","score":0.6553000211715698},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6290000081062317},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5360999703407288},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5187000036239624},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4636000096797943},{"id":"https://openalex.org/keywords/doppler-radar","display_name":"Doppler radar","score":0.45509999990463257},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.42340001463890076},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.4165000021457672}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6565999984741211},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6553000211715698},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6290000081062317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6283000111579895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6233000159263611},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5360999703407288},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5187000036239624},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4636000096797943},{"id":"https://openalex.org/C2778559676","wikidata":"https://www.wikidata.org/wiki/Q1334213","display_name":"Doppler radar","level":3,"score":0.45509999990463257},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.42340001463890076},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.4165000021457672},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.3756999969482422},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.3492000102996826},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.34209999442100525},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3314000070095062},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C2778999744","wikidata":"https://www.wikidata.org/wiki/Q7208292","display_name":"Point target","level":3,"score":0.31520000100135803},{"id":"https://openalex.org/C2984296375","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar systems","level":3,"score":0.31380000710487366},{"id":"https://openalex.org/C134406370","wikidata":"https://www.wikidata.org/wiki/Q832005","display_name":"Radar engineering details","level":4,"score":0.2919999957084656},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.29120001196861267},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C139931591","wikidata":"https://www.wikidata.org/wiki/Q1029151","display_name":"Pulse-Doppler radar","level":4,"score":0.25690001249313354}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.02420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.02420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.12330","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.12330","pdf_url":"https://arxiv.org/pdf/2508.12330","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2508.12330","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.12330","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2508.12330","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.12330","pdf_url":"https://arxiv.org/pdf/2508.12330","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Radar-based":[0],"object":[1,127],"detection":[2,12,50,128],"is":[3,106],"essential":[4],"for":[5,27],"autonomous":[6],"driving":[7],"due":[8],"to":[9,78,83,101],"radar's":[10],"long":[11,23],"range.":[13],"However,":[14],"the":[15],"sparsity":[16],"of":[17],"radar":[18,63],"point":[19,33,64,89,108],"clouds,":[20],"especially":[21],"at":[22],"range,":[24],"poses":[25],"challenges":[26],"accurate":[28],"detection.":[29],"Existing":[30],"methods":[31],"increase":[32],"density":[34,66,110],"through":[35],"temporal":[36,58],"aggregation":[37,59,93],"with":[38,87,117],"ego-motion":[39],"compensation,":[40],"but":[41],"this":[42],"approach":[43],"introduces":[44],"scatter":[45],"from":[46,71],"dynamic":[47,80],"objects,":[48],"degrading":[49],"performance.":[51],"We":[52],"propose":[53],"DoppDrive,":[54],"a":[55,91,107],"novel":[56],"Doppler-Driven":[57],"method":[60],"that":[61,123],"enhances":[62],"cloud":[65,109],"while":[67],"minimizing":[68],"scatter.":[69,104],"Points":[70],"previous":[72],"frames":[73],"are":[74],"shifted":[75],"radially":[76],"according":[77],"their":[79],"Doppler":[81,98],"component":[82],"eliminate":[84],"radial":[85],"scatter,":[86],"each":[88],"assigned":[90],"unique":[92],"duration":[94],"based":[95],"on":[96],"its":[97],"and":[99,120,133],"angle":[100],"minimize":[102],"tangential":[103],"DoppDrive":[105],"enhancement":[111],"step":[112],"applied":[113],"before":[114],"detection,":[115],"compatible":[116],"any":[118],"detector,":[119],"we":[121],"demonstrate":[122],"it":[124],"significantly":[125],"improves":[126],"performance":[129],"across":[130],"various":[131],"detectors":[132],"datasets.":[134]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
