{"id":"https://openalex.org/W4401413889","doi":"https://doi.org/10.1109/icra57147.2024.10610444","title":"Better Monocular 3D Detectors with LiDAR from the Past","display_name":"Better Monocular 3D Detectors with LiDAR from the Past","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4401413889","doi":"https://doi.org/10.1109/icra57147.2024.10610444"},"language":"en","primary_location":{"id":"doi:10.1109/icra57147.2024.10610444","doi":"https://doi.org/10.1109/icra57147.2024.10610444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10610444","pdf_url":null,"source":{"id":"https://openalex.org/S4210217939","display_name":"Proceedings - IEEE International Conference on Robotics and Automation/Proceedings","issn_l":"1050-4729","issn":["1050-4729","2577-087X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2404.05139","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069174793","display_name":"Yurong You","orcid":"https://orcid.org/0000-0002-6898-9463","observed_orcids":["https://orcid.org/0000-0002-6898-9463"]},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yurong You","raw_affiliation_strings":["Cornell University,Computer Science Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University,Computer Science Department","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016682510","display_name":"Cheng Perng Phoo","orcid":"https://orcid.org/0000-0002-9713-1108","observed_orcids":["https://orcid.org/0000-0002-9713-1108"]},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng Perng Phoo","raw_affiliation_strings":["Cornell University,Computer Science Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University,Computer Science Department","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038751104","display_name":"Carlos Andres Diaz-Ruiz","orcid":"https://orcid.org/0009-0007-8111-7815","observed_orcids":["https://orcid.org/0009-0007-8111-7815"]},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlos Andres Diaz-Ruiz","raw_affiliation_strings":["Cornell University,Mechanical and Aerospace Engineering Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University,Mechanical and Aerospace Engineering Department","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110725449","display_name":"Katie Z Luo","orcid":"https://orcid.org/0009-0008-5797-534X","observed_orcids":["https://orcid.org/0009-0008-5797-534X"]},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katie Z Luo","raw_affiliation_strings":["Cornell University,Computer Science Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University,Computer Science Department","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei-Lun Chao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei-Lun Chao","raw_affiliation_strings":["Ohio State University,Department of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ohio State University,Department of Computer Science and Engineering","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087789612","display_name":"Mark Campbell","orcid":"https://orcid.org/0000-0003-0775-4297","observed_orcids":["https://orcid.org/0000-0003-0775-4297"]},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark Campbell","raw_affiliation_strings":["Cornell University,Mechanical and Aerospace Engineering Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University,Mechanical and Aerospace Engineering Department","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101647390","display_name":"Bharath Hariharan","orcid":"https://orcid.org/0000-0002-2309-4703","observed_orcids":["https://orcid.org/0000-0002-2309-4703"]},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bharath Hariharan","raw_affiliation_strings":["Cornell University,Computer Science Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University,Computer Science Department","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006380227","display_name":"Kilian Q. Weinberger","orcid":"https://orcid.org/0009-0008-9313-7239","observed_orcids":["https://orcid.org/0009-0008-9313-7239"]},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kilian Q Weinberger","raw_affiliation_strings":["Cornell University,Computer Science Department"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University,Computer Science Department","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5593,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72891272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"6634","last_page":"6641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7993000149726868,"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":0.7993000149726868,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.15800000727176666,"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":0.02419999986886978,"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/monocular-3d-object-detection","display_name":"monocular 3D object detection","score":0.9890000224113464},{"id":"https://openalex.org/keywords/lidar","display_name":"LiDAR","score":0.7820000052452087},{"id":"https://openalex.org/keywords/depth-ambiguity","display_name":"depth ambiguity","score":0.7080000042915344},{"id":"https://openalex.org/keywords/autonomous-driving","display_name":"autonomous driving","score":0.718999981880188},{"id":"https://openalex.org/keywords/low-cost-sensors","display_name":"low-cost sensors","score":0.39100000262260437},{"id":"https://openalex.org/keywords/end-to-end-feature-extraction","display_name":"end-to-end feature extraction","score":0.6230000257492065}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8413084745407104},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5902527570724487},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5665879249572754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5091158747673035},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4738926291465759},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3566943407058716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3371771275997162},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.297052800655365},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10801467299461365}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icra57147.2024.10610444","doi":"https://doi.org/10.1109/icra57147.2024.10610444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10610444","pdf_url":null,"source":{"id":"https://openalex.org/S4210217939","display_name":"Proceedings - IEEE International Conference on Robotics and Automation/Proceedings","issn_l":"1050-4729","issn":["1050-4729","2577-087X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2404.05139","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.05139","pdf_url":"https://arxiv.org/pdf/2404.05139","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2404.05139","doi":"https://doi.org/10.48550/arxiv.2404.05139","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2404.05139","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2404.05139","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.05139","pdf_url":"https://arxiv.org/pdf/2404.05139","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1205195086","display_name":null,"funder_award_id":"DMR- 1719875","funder_id":"https://openalex.org/F4320333422","funder_display_name":"Materials Research Science and Engineering Center, Harvard University"},{"id":"https://openalex.org/G1321126357","display_name":null,"funder_award_id":"DMR\u20101719875","funder_id":"https://openalex.org/F4320332708","funder_display_name":"Cornell Center for Materials Research"},{"id":"https://openalex.org/G1736414626","display_name":"AI Institute for Intelligent CyberInfrastructure with Computational Learning in the Environment (ICICLE)","funder_award_id":"2112606","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2415270547","display_name":null,"funder_award_id":"DMR-1719875","funder_id":"https://openalex.org/F4320337367","funder_display_name":"Division of Materials Research"},{"id":"https://openalex.org/G301982098","display_name":"Collaborative Research: RI: Medium: Robust Perception through End-User Adaptation","funder_award_id":"2107077","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4064232043","display_name":"Cornell Center for Materials Research - MRSEC","funder_award_id":"1719875","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4504108201","display_name":null,"funder_award_id":"N00014-17-1","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G5497231619","display_name":"HDR Institute: Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning","funder_award_id":"2118240","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5917061246","display_name":null,"funder_award_id":"1719875","funder_id":"https://openalex.org/F4320337367","funder_display_name":"Division of Materials Research"},{"id":"https://openalex.org/G6105689397","display_name":"Collaborative Research: RI: Medium: Robust Perception through End-User Adaptation","funder_award_id":"2107161","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6351810044","display_name":null,"funder_award_id":"1719875","funder_id":"https://openalex.org/F4320333422","funder_display_name":"Materials Research Science and Engineering Center, Harvard University"},{"id":"https://openalex.org/G6874815845","display_name":"TRIPODS: Data Science for Improved Decision-Making: Learning in the Context of Uncertainty, Causality, Privacy, and Network Structures","funder_award_id":"1740822","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G709468757","display_name":null,"funder_award_id":"N00014-17-1-2175","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G7767248047","display_name":null,"funder_award_id":"1719875","funder_id":"https://openalex.org/F4320332708","funder_display_name":"Cornell Center for Materials Research"},{"id":"https://openalex.org/G8180032753","display_name":null,"funder_award_id":"DMR-1719875","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8284465405","display_name":"S&AS: INT: Inference, Reasoning, and Learning for Robust Autonomous Driving","funder_award_id":"1724282","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320332708","display_name":"Cornell Center for Materials Research","ror":null},{"id":"https://openalex.org/F4320333422","display_name":"Materials Research Science and Engineering Center, Harvard University","ror":"https://ror.org/01qa5ep47"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320337367","display_name":"Division of Materials Research","ror":"https://ror.org/01pc7k308"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401413889.pdf","grobid_xml":"https://content.openalex.org/works/W4401413889.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W2033819227","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2468368736","https://openalex.org/W2565639579","https://openalex.org/W2601564443","https://openalex.org/W2624503621","https://openalex.org/W2767669918","https://openalex.org/W2794739174","https://openalex.org/W2905076052","https://openalex.org/W2925148167","https://openalex.org/W2949708697","https://openalex.org/W2954174912","https://openalex.org/W2960641820","https://openalex.org/W2962807143","https://openalex.org/W2963170338","https://openalex.org/W2963727135","https://openalex.org/W2982770724","https://openalex.org/W2986701260","https://openalex.org/W2989996808","https://openalex.org/W3008526508","https://openalex.org/W3015146382","https://openalex.org/W3035346742","https://openalex.org/W3035749845","https://openalex.org/W3048770793","https://openalex.org/W3092800243","https://openalex.org/W3110608229","https://openalex.org/W3133598367","https://openalex.org/W3138516171","https://openalex.org/W3167095230","https://openalex.org/W3183579734","https://openalex.org/W3194903941","https://openalex.org/W3215100485","https://openalex.org/W4200200310","https://openalex.org/W4221158448","https://openalex.org/W4224259431","https://openalex.org/W4226305814","https://openalex.org/W4229518126","https://openalex.org/W4281255813","https://openalex.org/W4304098216","https://openalex.org/W4312253363","https://openalex.org/W4312543476","https://openalex.org/W4312707458","https://openalex.org/W4312894406","https://openalex.org/W4313128851","https://openalex.org/W4383066393","https://openalex.org/W4390872833","https://openalex.org/W6764514022","https://openalex.org/W6784333009","https://openalex.org/W6800618901","https://openalex.org/W6802311648","https://openalex.org/W6809822403","https://openalex.org/W6811230113","https://openalex.org/W7133222697"],"related_works":["https://openalex.org/W4385970073","https://openalex.org/W4389610030","https://openalex.org/W4383108623","https://openalex.org/W4312393397","https://openalex.org/W4386864136","https://openalex.org/W4312242710","https://openalex.org/W3194903941","https://openalex.org/W4221155238","https://openalex.org/W3203385043","https://openalex.org/W4400459116"],"abstract_inverted_index":{"Accurate":[0],"3D":[1,59,129],"object":[2],"detection":[3],"is":[4],"crucial":[5],"to":[6,40,45,56,79,114,139],"autonomous":[7],"driving.":[8],"Though":[9],"LiDAR-based":[10,42],"detectors":[11,30,60,76],"have":[12,77],"achieved":[13],"impressive":[14],"performance,":[15],"the":[16,74,124],"high":[17],"cost":[18],"of":[19,89,123,153],"LiDAR":[20,65,82,98,121],"sensors":[21],"precludes":[22],"their":[23,41],"widespread":[24],"adoption":[25],"in":[26,49],"affordable":[27],"vehicles.":[28],"Camera-based":[29],"are":[31],"cheaper":[32],"alternatives":[33],"but":[34],"often":[35],"suffer":[36],"inferior":[37],"performance":[38,136],"compared":[39],"counterparts":[43],"due":[44],"inherent":[46],"depth":[47],"ambiguities":[48],"images.":[50],"In":[51],"this":[52,101],"work,":[53],"we":[54,71,103],"seek":[55],"improve":[57],"monocular":[58,128],"by":[61],"leveraging":[62],"unlabeled":[63,81],"historical":[64],"data.":[66],"Specifically,":[67],"at":[68,87,166],"inference":[69],"time,":[70],"assume":[72],"that":[73],"camera-based":[75],"access":[78],"multiple":[80,143],"scans":[83],"from":[84,92,119],"past":[85],"traversals":[86,122],"locations":[88],"interest":[90],"(potentially":[91],"other":[93],"high-end":[94],"vehicles":[95],"equipped":[96],"with":[97,148],"sensors).":[99],"Under":[100],"setup,":[102],"proposed":[104],"a":[105,149,157],"novel,":[106],"simple,":[107],"and":[108,134,146,156],"end-to-end":[109],"trainable":[110],"framework,":[111],"termed":[112],"AsyncDepth,":[113],"effectively":[115],"extract":[116],"relevant":[117],"features":[118],"asynchronous":[120],"same":[125],"location":[126],"for":[127],"detectors.":[130],"We":[131],"show":[132],"consistent":[133],"significant":[135],"gain":[137],"(up":[138],"9":[140],"AP)":[141],"across":[142],"state-of-the-art":[144],"models":[145],"datasets":[147],"negligible":[150],"additional":[151],"latency":[152],"9.66":[154],"ms":[155],"small":[158],"storage":[159],"cost.":[160],"Our":[161],"code":[162],"can":[163],"be":[164],"found":[165],"https://github.com/YurongYou/AsyncDepth.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2024-08-09T00:00:00"}