{"id":"https://openalex.org/W4416748832","doi":"https://doi.org/10.1109/iros60139.2025.11246201","title":"CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting","display_name":"CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416748832","doi":"https://doi.org/10.1109/iros60139.2025.11246201"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11246201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5103242857","display_name":"Haoran Xu","orcid":"https://orcid.org/0009-0003-2801-755X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoran Xu","raw_affiliation_strings":["Tsinghua University,Institute for AI Industry Research (AIR)"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Institute for AI Industry Research (AIR)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048570601","display_name":"Saining Zhang","orcid":"https://orcid.org/0009-0000-4983-8478"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Saining Zhang","raw_affiliation_strings":["Tsinghua University,Institute for AI Industry Research (AIR)"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Institute for AI Industry Research (AIR)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009777472","display_name":"Peishuo Li","orcid":"https://orcid.org/0000-0002-6293-1826"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Peishuo Li","raw_affiliation_strings":["Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108926295","display_name":"Baijun Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baijun Ye","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101659095","display_name":"Xiaoxue Chen","orcid":"https://orcid.org/0000-0001-6587-6060"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxue Chen","raw_affiliation_strings":["Tsinghua University,Institute for AI Industry Research (AIR)"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Institute for AI Industry Research (AIR)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102641337","display_name":"Huan-ang Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan-Ang Gao","raw_affiliation_strings":["Tsinghua University,Institute for AI Industry Research (AIR)"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Institute for AI Industry Research (AIR)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111074908","display_name":"Jv Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jv Zheng","raw_affiliation_strings":["Tsinghua University,Institute for AI Industry Research (AIR)"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Institute for AI Industry Research (AIR)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069133173","display_name":"Xiaowei Song","orcid":"https://orcid.org/0000-0001-9215-0572"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Song","raw_affiliation_strings":["Tsinghua University,Institute for AI Industry Research (AIR)"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Institute for AI Industry Research (AIR)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090070169","display_name":"Ziqiao Peng","orcid":"https://orcid.org/0009-0002-6175-7720"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqiao Peng","raw_affiliation_strings":["Renmin University of China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048953246","display_name":"Raymond Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Run Miao","raw_affiliation_strings":["Beijing University of Technology"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103063995","display_name":"Jing Jia","orcid":"https://orcid.org/0000-0002-0034-3199"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinrang Jia","raw_affiliation_strings":["Baidu Inc"],"affiliations":[{"raw_affiliation_string":"Baidu Inc","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110650082","display_name":"Yifeng Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifeng Shi","raw_affiliation_strings":["Baidu Inc"],"affiliations":[{"raw_affiliation_string":"Baidu Inc","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103008081","display_name":"Guang-Yu Yi","orcid":"https://orcid.org/0000-0001-8265-5999"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangqi Yi","raw_affiliation_strings":["Baidu Inc"],"affiliations":[{"raw_affiliation_string":"Baidu Inc","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418993","display_name":"Hang Zhao","orcid":"https://orcid.org/0009-0006-5693-8593"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Zhao","raw_affiliation_strings":["Tsinghua University","Tsinghua University,Institute for AI Industry Research (AIR)"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua University,Institute for AI Industry Research (AIR)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058314921","display_name":"Hao Tang","orcid":"https://orcid.org/0000-0001-5087-4417"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Tang","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060806796","display_name":"Hongyang Li","orcid":"https://orcid.org/0000-0003-4380-6277"},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Hongyang Li","raw_affiliation_strings":["Shanghai AI Lab"],"affiliations":[{"raw_affiliation_string":"Shanghai AI Lab","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101195156","display_name":"Kaicheng Yu","orcid":"https://orcid.org/0009-0006-5695-1317"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaicheng Yu","raw_affiliation_strings":["Westlake University"],"affiliations":[{"raw_affiliation_string":"Westlake University","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418978","display_name":"Hao Zhao","orcid":"https://orcid.org/0000-0001-8135-0616"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhao","raw_affiliation_strings":["Tsinghua University","Tsinghua University,Institute for AI Industry Research (AIR)"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua University,Institute for AI Industry Research (AIR)","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":18,"corresponding_author_ids":["https://openalex.org/A5103242857"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.4266573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"12518","last_page":"12525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.4611000120639801,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.4611000120639801,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.24390000104904175,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10036","display_name":"Advanced Neural Network Applications","score":0.10750000178813934,"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/cruise","display_name":"Cruise","score":0.5837000012397766},{"id":"https://openalex.org/keywords/cruise-control","display_name":"Cruise control","score":0.5702000260353088},{"id":"https://openalex.org/keywords/cruise-missile","display_name":"Cruise missile","score":0.5371999740600586},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.534600019454956},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.46239998936653137},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.446399986743927},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4377000033855438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8220999836921692},{"id":"https://openalex.org/C2778821358","wikidata":"https://www.wikidata.org/wiki/Q2063640","display_name":"Cruise","level":2,"score":0.5837000012397766},{"id":"https://openalex.org/C113168747","wikidata":"https://www.wikidata.org/wiki/Q507295","display_name":"Cruise control","level":3,"score":0.5702000260353088},{"id":"https://openalex.org/C28849524","wikidata":"https://www.wikidata.org/wiki/Q181860","display_name":"Cruise missile","level":3,"score":0.5371999740600586},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.534600019454956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49309998750686646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4851999878883362},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.46239998936653137},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.446399986743927},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4377000033855438},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4244000017642975},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.3630000054836273},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.27880001068115234},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.27709999680519104},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11246201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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":55,"referenced_works":["https://openalex.org/W2615547864","https://openalex.org/W2936459520","https://openalex.org/W3034264193","https://openalex.org/W3034716600","https://openalex.org/W3035098634","https://openalex.org/W3039017725","https://openalex.org/W3090375251","https://openalex.org/W3109585842","https://openalex.org/W3109991383","https://openalex.org/W3171032126","https://openalex.org/W3175727500","https://openalex.org/W3177583232","https://openalex.org/W3183092879","https://openalex.org/W3201193904","https://openalex.org/W3203570626","https://openalex.org/W4286544732","https://openalex.org/W4312274547","https://openalex.org/W4312280420","https://openalex.org/W4312433568","https://openalex.org/W4312598093","https://openalex.org/W4312604822","https://openalex.org/W4312939270","https://openalex.org/W4313017495","https://openalex.org/W4313031684","https://openalex.org/W4383101317","https://openalex.org/W4383108834","https://openalex.org/W4385318467","https://openalex.org/W4385325857","https://openalex.org/W4386075696","https://openalex.org/W4386076168","https://openalex.org/W4386076483","https://openalex.org/W4386076547","https://openalex.org/W4386083148","https://openalex.org/W4386275712","https://openalex.org/W4390871936","https://openalex.org/W4390887444","https://openalex.org/W4391516317","https://openalex.org/W4396786944","https://openalex.org/W4399563629","https://openalex.org/W4399563644","https://openalex.org/W4402715925","https://openalex.org/W4402727641","https://openalex.org/W4402727715","https://openalex.org/W4402754225","https://openalex.org/W4402754269","https://openalex.org/W4404524486","https://openalex.org/W4404526392","https://openalex.org/W4404624494","https://openalex.org/W4404971322","https://openalex.org/W4405785411","https://openalex.org/W4409367446","https://openalex.org/W4409883306","https://openalex.org/W4413144960","https://openalex.org/W4413146851","https://openalex.org/W4413918510"],"related_works":[],"abstract_inverted_index":{"Vehicle-to-everything":[0],"(V2X)":[1],"communication":[2],"plays":[3],"a":[4,44],"crucial":[5],"role":[6],"in":[7,33],"autonomous":[8,23],"driving,":[9],"enabling":[10,97],"cooperation":[11],"between":[12],"vehicles":[13],"and":[14,31,81,94,104,130,143],"infrastructure.":[15],"While":[16],"simulation":[17],"has":[18],"significantly":[19],"contributed":[20],"to":[21,58],"various":[22],"driving":[24,51,84,116],"tasks,":[25],"its":[26],"potential":[27],"for":[28,49,78,102],"data":[29],"generation":[30],"augmentation":[32,82,101],"V2X":[34,50,99,115],"scenarios":[35],"remains":[36],"underexplored.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"introduce":[42],"CRUISE,":[43],"comprehensive":[45],"reconstruction-and-synthesis":[46],"framework":[47,88],"designed":[48],"environments.":[52],"CRUISE":[53,76,112,123,145],"employs":[54],"decomposed":[55],"Gaussian":[56,74],"Splatting":[57],"accurately":[59],"reconstruct":[60],"real-world":[61,114],"scenes":[62,117],"while":[63],"supporting":[64],"flexible":[65],"editing.":[66],"By":[67],"decomposing":[68],"dynamic":[69],"traffic":[70],"participants":[71],"into":[72],"editable":[73],"representations,":[75],"allows":[77],"seamless":[79],"modification":[80],"of":[83],"scenes.":[85],"Furthermore,":[86],"the":[87,140],"renders":[89],"images":[90],"from":[91],"both":[92],"ego-vehicle":[93],"infrastructure":[95],"views,":[96,132],"large-scale":[98],"dataset":[100],"training":[103],"evaluation.":[105],"Our":[106],"experimental":[107],"results":[108],"demonstrate":[109],"that:":[110],"1)":[111],"reconstructs":[113],"with":[118],"high":[119],"fidelity;":[120],"2)":[121],"using":[122],"improves":[124],"3D":[125,137],"detection":[126],"across":[127],"ego-vehicle,":[128],"infrastructure,":[129],"cooperative":[131,136],"as":[133,135],"well":[134],"tracking":[138],"on":[139],"V2X-Seq":[141],"benchmark;":[142],"3)":[144],"effectively":[146],"generates":[147],"challenging":[148],"corner":[149],"cases.":[150],"The":[151],"code":[152],"will":[153],"be":[154],"publicly":[155],"available":[156],"at":[157],"https://github.com/SainingZhang/CRUISE.":[158]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-28T00:00:00"}