{"id":"https://openalex.org/W7160505137","doi":"https://doi.org/10.48550/arxiv.2605.04475","title":"Information Coordination as a Bridge: A Neuro-Symbolic Architecture for Reliable Autonomous Driving Scene Understanding","display_name":"Information Coordination as a Bridge: A Neuro-Symbolic Architecture for Reliable Autonomous Driving Scene Understanding","publication_year":2026,"publication_date":"2026-05-06","ids":{"openalex":"https://openalex.org/W7160505137","doi":"https://doi.org/10.48550/arxiv.2605.04475"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.04475","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04475","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.2605.04475","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135621365","display_name":"Shuo Liu","orcid":"https://orcid.org/0000-0003-2305-2850"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Shuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135549882","display_name":"Lei Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135570851","display_name":"Haowen Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Haowen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135603983","display_name":"Jing Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Jing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135580414","display_name":"Yufei Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Yufei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135564175","display_name":"Yucheng Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Yucheng","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.7020000219345093,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.7020000219345093,"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":0.04019999876618385,"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":0.035999998450279236,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hallucinating","display_name":"Hallucinating","score":0.949999988079071},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.637499988079071},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6222000122070312},{"id":"https://openalex.org/keywords/active-perception","display_name":"Active perception","score":0.4909999966621399},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4641999900341034},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4593000113964081},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.4260999858379364}],"concepts":[{"id":"https://openalex.org/C2911011789","wikidata":"https://www.wikidata.org/wiki/Q130741","display_name":"Hallucinating","level":2,"score":0.949999988079071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.705299973487854},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.637499988079071},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6222000122070312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5393999814987183},{"id":"https://openalex.org/C2776010242","wikidata":"https://www.wikidata.org/wiki/Q4677575","display_name":"Active perception","level":3,"score":0.4909999966621399},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4641999900341034},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4593000113964081},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.4260999858379364},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4196000099182129},{"id":"https://openalex.org/C85847156","wikidata":"https://www.wikidata.org/wiki/Q59015987","display_name":"Verifiable secret sharing","level":3,"score":0.361299991607666},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3506999909877777},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3449000120162964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29600000381469727},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C168993435","wikidata":"https://www.wikidata.org/wiki/Q6501125","display_name":"Ground","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.26030001044273376}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.04475","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04475","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.2605.04475","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04475","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Reliable":[0],"autonomous":[1],"driving":[2,23],"requires":[3],"scene":[4],"understanding":[5],"that":[6,59,78,91,106,118],"is":[7],"semantically":[8],"consistent":[9],"across":[10],"heterogeneous":[11],"sensors":[12],"and":[13,32,48,67,93,101,115,135,143,152,161,179],"verifiable":[14],"at":[15],"the":[16,26],"reasoning":[17,109],"stage.":[18],"However,":[19],"many":[20],"recent":[21],"LLM-driven":[22],"systems":[24],"attach":[25],"language":[27,68],"model":[28],"as":[29],"a":[30,55,73,98,144,170],"post-processor":[31],"force":[33],"it":[34],"to":[35,132],"reason":[36],"over":[37],"redundant":[38,178],"or":[39],"conflicting":[40],"perception":[41,66,76,182],"outputs,":[42],"which":[43],"can":[44],"amplify":[45],"hallucinated":[46,154],"entities":[47],"unsafe":[49],"conclusions.":[50],"This":[51],"paper":[52],"proposes":[53],"InfoCoordiBridge,":[54],"BEV-centric":[56],"neuro-symbolic":[57],"architecture":[58],"inserts":[60],"an":[61,88,103],"explicit":[62],"coordination":[63],"bridge":[64],"between":[65],"reasoning.":[69,188],"InfoCoordiBridge":[70,176],"comprises":[71],"(i)":[72],"unified":[74],"multi-agent":[75],"layer":[77],"outputs":[79,96,168],"typed":[80],"structured":[81],"facts":[82],"together":[83],"with":[84,110,158],"modality-focused":[85],"synopses,":[86],"(ii)":[87],"ICA":[89,119],"module":[90,105],"aligns":[92],"fuses":[94],"multi-source":[95],"into":[97,169,186],"single":[99,171],"SceneSummary,":[100],"(iii)":[102],"SSRE":[104,148],"performs":[107],"SceneSummary-grounded":[108],"verification.":[111],"Experiments":[112],"on":[113],"nuScenes":[114],"Waymo":[116],"show":[117],"preserves":[120],"competitive":[121],"3D":[122],"detection":[123],"accuracy":[124],"while":[125],"substantially":[126],"improving":[127],"fusion":[128],"consistency,":[129],"reducing":[130],"redundancy":[131],"below":[133],"1%":[134],"achieving":[136],"about":[137],"98%":[138],"attribute":[139],"agreement.":[140],"On":[141],"NuScenes-QA":[142],"template-aligned":[145],"Waymo-QA":[146],"benchmark,":[147],"improves":[149],"factual":[150],"grounding":[151],"reduces":[153],"entity":[155],"mentions":[156],"compared":[157],"representative":[159],"VLM":[160],"agentic":[162],"baselines.":[163],"Overall,":[164],"by":[165],"coordinating":[166],"multi-sensor":[167],"conflict-aware":[172],"SceneSummary":[173],"before":[174],"prompting,":[175],"prevents":[177],"cross-modally":[180],"inconsistent":[181],"evidence":[183],"from":[184],"propagating":[185],"high-level":[187]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-08T00:00:00"}
