{"id":"https://openalex.org/W7165621906","doi":"https://doi.org/10.48550/arxiv.2606.21623","title":"A DVDrive Approach for doScenes Instructed Driving Challenge","display_name":"A DVDrive Approach for doScenes Instructed Driving Challenge","publication_year":2026,"publication_date":"2026-06-19","ids":{"openalex":"https://openalex.org/W7165621906","doi":"https://doi.org/10.48550/arxiv.2606.21623"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.21623","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21623","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.21623","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040327990","display_name":"Zijian Fu","orcid":"https://orcid.org/0000-0001-9872-4346"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Zijian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056733554","display_name":"Xi Chu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chu, Xiangyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103041611","display_name":"Mengshi Qi","orcid":"https://orcid.org/0000-0002-6955-6635"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi, Mengshi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139160516","display_name":"Huadong Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Huadong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139164881","display_name":"Guanghao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Guanghao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139149741","display_name":"Wei Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.4399000108242035,"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":0.4399000108242035,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.188400000333786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.05939999967813492,"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/trajectory","display_name":"Trajectory","score":0.7131999731063843},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.621399998664856},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.611299991607666},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.41269999742507935},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.4072999954223633},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3005000054836273}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7131999731063843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7113999724388123},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.621399998664856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6129999756813049},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.611299991607666},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6079000234603882},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4187999963760376},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.41269999742507935},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.4072999954223633},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.21623","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21623","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":"doi:10.48550/arxiv.2606.21623","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.21623","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Instruction-conditioned":[0],"trajectory":[1,17,78],"prediction":[2],"is":[3,152],"an":[4],"emerging":[5],"problem":[6],"in":[7],"autonomous":[8],"driving,":[9],"where":[10],"a":[11,30,48,75,92],"model":[12,140],"predicts":[13],"the":[14,40,63,98,110,139],"future":[15,82],"ego":[16,77],"not":[18],"only":[19],"from":[20,29],"visual":[21,87,148],"scene":[22],"context":[23],"and":[24,56,73,116,124,137],"historical":[25],"motion,":[26],"but":[27],"also":[28],"natural-language":[31],"maneuver":[32],"instruction.":[33],"This":[34,131],"paper":[35],"presents":[36],"our":[37],"submission":[38],"to":[39,62,106],"doScenes":[41,64],"Instructed":[42],"Driving":[43],"Challenge,":[44],"built":[45],"upon":[46],"OmniDrive,":[47],"vision-language-action":[49],"driving":[50],"agent":[51],"with":[52,145],"3D":[53],"perception,":[54],"reasoning,":[55],"planning":[57],"capabilities.":[58],"We":[59],"adapt":[60],"OmniDrive":[61,99],"setting":[65],"by":[66,80],"training":[67],"it":[68],"on":[69],"instruction-annotated":[70],"nuScenes":[71],"scenes":[72],"generating":[74],"6-second":[76],"represented":[79],"12":[81],"waypoints.":[83],"To":[84],"improve":[85],"multi-view":[86],"grounding,":[88],"we":[89],"further":[90],"introduce":[91],"DVPE-style":[93],"divided-view":[94],"perception":[95,100],"module":[96,112],"into":[97,119],"head.":[101],"Instead":[102],"of":[103],"attending":[104],"globally":[105],"all":[107],"camera":[108],"features,":[109],"proposed":[111],"groups":[113],"query":[114],"features":[115],"image":[117],"tokens":[118],"divided":[120],"local":[121,146],"view":[122],"spaces":[123],"performs":[125],"visibility-aware":[126],"cross-attention":[127],"within":[128],"each":[129],"view.":[130],"design":[132],"reduces":[133],"irrelevant":[134],"cross-view":[135],"interference":[136],"helps":[138],"better":[141],"align":[142],"language":[143],"instructions":[144],"driving-relevant":[147],"evidence.":[149],"The":[150],"code":[151],"publicly":[153],"available":[154],"at:":[155],"https://github.com/feel12348/doscenes-omnidrive.":[156]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-24T00:00:00"}