{"id":"https://openalex.org/W4385301544","doi":"https://doi.org/10.1109/iv55152.2023.10186611","title":"Textual Explanations for Automated Commentary Driving","display_name":"Textual Explanations for Automated Commentary Driving","publication_year":2023,"publication_date":"2023-06-04","ids":{"openalex":"https://openalex.org/W4385301544","doi":"https://doi.org/10.1109/iv55152.2023.10186611"},"language":"en","primary_location":{"id":"doi:10.1109/iv55152.2023.10186611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55152.2023.10186611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5069385296","display_name":"Marc Alexander K\u00fchn","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097638","display_name":"Partners In Care","ror":"https://ror.org/00xwb4n23","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210097638"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marc Alexander K\u00fchn","raw_affiliation_strings":["UVC Partners,Munich,Germany","UVC Partners, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UVC Partners,Munich,Germany","institution_ids":["https://openalex.org/I4210097638"]},{"raw_affiliation_string":"UVC Partners, Munich, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073066045","display_name":"Daniel Omeiza","orcid":"https://orcid.org/0000-0002-3844-5131"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]},{"id":"https://openalex.org/I4210146410","display_name":"Science Oxford","ror":"https://ror.org/04j8yhy50","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I4210146410"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniel Omeiza","raw_affiliation_strings":["University of Oxford,Oxford Robotics Institute,Department of Engineering Science,Oxford,United Kingdom","Department of Engineering Science, Oxford Robotics Institute, University of Oxford, Oxford, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford,Oxford Robotics Institute,Department of Engineering Science,Oxford,United Kingdom","institution_ids":["https://openalex.org/I4210146410"]},{"raw_affiliation_string":"Department of Engineering Science, Oxford Robotics Institute, University of Oxford, Oxford, United Kingdom","institution_ids":["https://openalex.org/I4210146410","https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042932869","display_name":"Lars Kunze","orcid":"https://orcid.org/0000-0001-5302-1938"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]},{"id":"https://openalex.org/I4210146410","display_name":"Science Oxford","ror":"https://ror.org/04j8yhy50","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I4210146410"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lars Kunze","raw_affiliation_strings":["University of Oxford,Oxford Robotics Institute,Department of Engineering Science,Oxford,United Kingdom","Department of Engineering Science, Oxford Robotics Institute, University of Oxford, Oxford, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oxford,Oxford Robotics Institute,Department of Engineering Science,Oxford,United Kingdom","institution_ids":["https://openalex.org/I4210146410"]},{"raw_affiliation_string":"Department of Engineering Science, Oxford Robotics Institute, University of Oxford, Oxford, United Kingdom","institution_ids":["https://openalex.org/I4210146410","https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7678148746490479},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7446695566177368},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6802931427955627},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.6581070423126221},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.6491165161132812},{"id":"https://openalex.org/keywords/realisation","display_name":"Realisation","score":0.6347538232803345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.559623122215271},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5388495922088623},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.5272414088249207},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.5150389671325684},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.4828098714351654},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.46795403957366943},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4342024028301239},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4338177442550659},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4133351445198059},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3799302577972412},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.22807103395462036},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10493433475494385},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08631494641304016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7678148746490479},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7446695566177368},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6802931427955627},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.6581070423126221},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6491165161132812},{"id":"https://openalex.org/C2779462738","wikidata":"https://www.wikidata.org/wiki/Q17146409","display_name":"Realisation","level":2,"score":0.6347538232803345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.559623122215271},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5388495922088623},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.5272414088249207},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.5150389671325684},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.4828098714351654},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.46795403957366943},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4342024028301239},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4338177442550659},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4133351445198059},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3799302577972412},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.22807103395462036},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10493433475494385},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08631494641304016},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iv55152.2023.10186611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55152.2023.10186611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:a8111b50-862e-47f7-9eee-7c51705a4f81","is_oa":false,"landing_page_url":"https://ora.ox.ac.uk/objects/uuid:a8111b50-862e-47f7-9eee-7c51705a4f81","pdf_url":null,"source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements","raw_type":"Conference item"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1521626219","https://openalex.org/W1522301498","https://openalex.org/W2133512280","https://openalex.org/W2885138528","https://openalex.org/W2904551248","https://openalex.org/W2963016445","https://openalex.org/W2963101956","https://openalex.org/W2963532001","https://openalex.org/W2963743213","https://openalex.org/W2981731882","https://openalex.org/W2982419388","https://openalex.org/W3015177564","https://openalex.org/W3118979546","https://openalex.org/W3166396011","https://openalex.org/W3209355071","https://openalex.org/W3210065386","https://openalex.org/W4285813060","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6791656131","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W2587329402","https://openalex.org/W3102854726","https://openalex.org/W2977842567","https://openalex.org/W2995913583","https://openalex.org/W3007894275","https://openalex.org/W1599620240","https://openalex.org/W2122804826","https://openalex.org/W4366327296","https://openalex.org/W4214603411","https://openalex.org/W2783089240"],"abstract_inverted_index":{"The":[0,98],"provision":[1],"of":[2,9,64,66,73,90,108,117],"natural":[3],"language":[4],"explanations":[5],"for":[6],"the":[7,41,55,78,95,115],"predictions":[8],"deep-learning-based":[10],"vehicle":[11],"controllers":[12],"is":[13,32,102],"critical":[14],"as":[15],"it":[16],"enhances":[17],"transparency":[18],"and":[19,29,35,69],"easy":[20],"audit.":[21],"In":[22],"this":[23],"work,":[24],"a":[25,38,48,88,106],"state-of-the-art":[26],"(SOTA)":[27],"prediction":[28,68],"explanation":[30,82],"model":[31,51],"thoroughly":[33],"evaluated":[34],"validated":[36],"(as":[37],"benchmark)":[39],"on":[40,94],"new":[42,49],"Sense\u2013Assess\u2013eXplain":[43],"(SAX).":[44],"Additionally,":[45],"we":[46],"developed":[47],"explainer":[50],"that":[52],"improved":[53,104],"over":[54],"baseline":[56],"architecture":[57],"in":[58],"two":[59],"ways:":[60],"(i)":[61],"an":[62,71],"integration":[63],"part":[65],"speech":[67],"(ii)":[70],"introduction":[72],"special":[74],"token":[75],"penalties.":[76],"On":[77],"BLEU":[79],"metric,":[80],"our":[81,111],"generation":[83,100],"technique":[84,101],"outperformed":[85],"SOTA":[86],"by":[87,105],"factor":[89,107],"7.7":[91],"when":[92],"applied":[93],"BDD-X":[96],"dataset.":[97],"description":[99],"also":[103],"1.3.":[109],"Hence,":[110],"work":[112],"contributes":[113],"to":[114],"realisation":[116],"future":[118],"explainable":[119],"autonomous":[120],"vehicles.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}