{"id":"https://openalex.org/W4408696375","doi":"https://doi.org/10.1109/itsc58415.2024.10919531","title":"VC-Gaussian: Vision-Centric Gaussian Splatting for Dynamic Autonomous Driving Scenes","display_name":"VC-Gaussian: Vision-Centric Gaussian Splatting for Dynamic Autonomous Driving Scenes","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408696375","doi":"https://doi.org/10.1109/itsc58415.2024.10919531"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10919531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","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/A5091053496","display_name":"Jiusi Li","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":true,"raw_author_name":"Jiusi Li","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020028921","display_name":"Tuopu Wen","orcid":"https://orcid.org/0000-0002-3093-765X"},"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":"Tuopu Wen","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102957468","display_name":"Kun Jiang","orcid":"https://orcid.org/0000-0001-7282-172X"},"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":"Kun Jiang","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043682012","display_name":"Jinyu Miao","orcid":"https://orcid.org/0000-0001-8558-9173"},"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":"Jinyu Miao","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079508967","display_name":"Yining Shi","orcid":"https://orcid.org/0000-0003-2926-925X"},"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":"Yining Shi","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017585244","display_name":"Xuhe Zhao","orcid":"https://orcid.org/0009-0007-3798-214X"},"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":"Xuhe Zhao","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101178520","display_name":"Zhigang Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhigang Fan","raw_affiliation_strings":["Zongmu Technology"],"affiliations":[{"raw_affiliation_string":"Zongmu Technology","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009072257","display_name":"Diange Yang","orcid":"https://orcid.org/0000-0003-0825-5609"},"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":"Diange Yang","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5091053496"],"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":0.16535261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"923","last_page":"929"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9872000217437744,"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":0.9872000217437744,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9746999740600586,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9678999781608582,"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/computer-science","display_name":"Computer science","score":0.7626509666442871},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6158132553100586},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5959034562110901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5691315531730652},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5059191584587097},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3826256990432739},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08760613203048706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7626509666442871},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6158132553100586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5959034562110901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5691315531730652},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5059191584587097},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3826256990432739},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08760613203048706},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc58415.2024.10919531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","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":28,"referenced_works":["https://openalex.org/W2471962767","https://openalex.org/W2962785568","https://openalex.org/W3035172746","https://openalex.org/W3173727695","https://openalex.org/W3183092879","https://openalex.org/W3203887644","https://openalex.org/W3211490618","https://openalex.org/W4200150166","https://openalex.org/W4200382072","https://openalex.org/W4214731463","https://openalex.org/W4221151978","https://openalex.org/W4221153765","https://openalex.org/W4281651265","https://openalex.org/W4312280420","https://openalex.org/W4312815172","https://openalex.org/W4313017495","https://openalex.org/W4313031684","https://openalex.org/W4385318467","https://openalex.org/W4386076168","https://openalex.org/W4390871919","https://openalex.org/W4390874218","https://openalex.org/W4391516317","https://openalex.org/W4402698355","https://openalex.org/W4402727527","https://openalex.org/W4402754225","https://openalex.org/W4404971322","https://openalex.org/W6839182500","https://openalex.org/W6850808936"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Reconstructing":[0],"dynamic":[1,67,100],"traffic":[2],"scenes":[3],"has":[4],"a":[5,84],"wide":[6],"range":[7],"of":[8,13,42,72,126],"applications":[9],"in":[10,48],"the":[11,40,70,121,144],"development":[12],"modern":[14],"autonomous":[15,104,146],"driving":[16,147],"systems.":[17],"Recently,":[18],"novel-view":[19,97],"synthesis":[20,98],"techniques,":[21],"such":[22],"as":[23,36],"Neural":[24],"Radiance":[25],"Field":[26],"(NeRF)":[27],"and":[28,60,99,115,123,139,161],"3D":[29,43,91],"Gaussian":[30,108],"Splatting":[31],"(3D":[32],"GS),":[33],"have":[34],"emerged":[35],"promising":[37],"paradigms":[38],"for":[39,103],"re-construction":[41],"scenes.":[44],"However,":[45],"previous":[46],"works":[47],"this":[49,80],"area":[50],"highly":[51],"rely":[52],"on":[53,90,143],"LiDAR":[54],"to":[55,65,112],"provide":[56],"accurate":[57],"geometric":[58,134],"prior":[59,135],"motion":[61],"cues":[62],"across":[63],"frames":[64],"reconstruct":[66],"objects,":[68],"hindering":[69],"use":[71],"overwhelming":[73],"vision":[74,159],"data":[75],"from":[76],"mass-production":[77],"vehicles.":[78],"In":[79],"paper,":[81],"we":[82,130],"propose":[83],"novel":[85],"Vision-Centric":[86],"reconstruction":[87,102,155],"framework":[88],"based":[89],"GS,":[92],"VC-Gaussian,":[93],"which":[94],"allows":[95],"high-quality":[96],"scene":[101],"driving.":[105],"A":[106],"composite":[107],"model":[109],"is":[110,163],"designed":[111],"represent":[113],"background":[114],"foreground":[116],"objects":[117],"separately.":[118],"To":[119],"facilitate":[120],"initialization":[122],"optimization":[124],"process":[125],"Gaussians":[127],"without":[128],"LiDAR,":[129],"leverage":[131],"easy-to-obtain":[132],"monocular":[133,158],"including":[136],"metric":[137],"depth":[138],"normal.":[140],"Experimental":[141],"results":[142],"real":[145],"dataset":[148],"demonstrate":[149],"that":[150],"our":[151],"method":[152],"out-performs":[153],"other":[154],"methods":[156],"with":[157,165],"inputs":[160],"even":[162],"competitive":[164],"LiDAR-based":[166],"methods.":[167]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}