{"id":"https://openalex.org/W4312870261","doi":"https://doi.org/10.1109/iros47612.2022.9981063","title":"Contextual Driving Scene Perception from Anonymous Vehicle Bus Data for Automotive Applications","display_name":"Contextual Driving Scene Perception from Anonymous Vehicle Bus Data for Automotive Applications","publication_year":2022,"publication_date":"2022-10-23","ids":{"openalex":"https://openalex.org/W4312870261","doi":"https://doi.org/10.1109/iros47612.2022.9981063"},"language":"en","primary_location":{"id":"doi:10.1109/iros47612.2022.9981063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9981063","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5041423667","display_name":"Marco Wiedner","orcid":"https://orcid.org/0000-0002-0034-0297"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Marco Wiedner","raw_affiliation_strings":["Dr. Ing. h.c. F. Porsche AG,Weissach,Germany","Dr. Ing. h.c. F. Porsche AG, Weissach, Germany"],"affiliations":[{"raw_affiliation_string":"Dr. Ing. h.c. F. Porsche AG,Weissach,Germany","institution_ids":[]},{"raw_affiliation_string":"Dr. Ing. h.c. F. Porsche AG, Weissach, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103161730","display_name":"Francesco Branca","orcid":"https://orcid.org/0000-0002-6226-4103"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francesco Branca","raw_affiliation_strings":["Dr. Ing. h.c. F. Porsche AG,Weissach,Germany","Dr. Ing. h.c. F. Porsche AG, Weissach, Germany"],"affiliations":[{"raw_affiliation_string":"Dr. Ing. h.c. F. Porsche AG,Weissach,Germany","institution_ids":[]},{"raw_affiliation_string":"Dr. Ing. h.c. F. Porsche AG, Weissach, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024103333","display_name":"Enrico Mion","orcid":"https://orcid.org/0000-0001-5989-9557"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Enrico Mion","raw_affiliation_strings":["ETH Zurich,Department of Mechanical and Process Engineering,Zürich,Switzerland,8092"],"affiliations":[{"raw_affiliation_string":"ETH Zurich,Department of Mechanical and Process Engineering,Zürich,Switzerland,8092","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057460079","display_name":"Andrea Censi","orcid":"https://orcid.org/0000-0001-5162-0398"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Andrea Censi","raw_affiliation_strings":["ETH Zurich,Department of Mechanical and Process Engineering,Zürich,Switzerland,8092"],"affiliations":[{"raw_affiliation_string":"ETH Zurich,Department of Mechanical and Process Engineering,Zürich,Switzerland,8092","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029522191","display_name":"Emilio Frazzoli","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Emilio Frazzoli","raw_affiliation_strings":["ETH Zurich,Department of Mechanical and Process Engineering,Zürich,Switzerland,8092"],"affiliations":[{"raw_affiliation_string":"ETH Zurich,Department of Mechanical and Process Engineering,Zürich,Switzerland,8092","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041423667"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14375987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13010","last_page":"13017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973000288009644,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996399998664856,"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":0.7723569869995117},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.647916316986084},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5020754337310791},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46270751953125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42875000834465027},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4163215160369873},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4148673713207245},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38360118865966797}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7723569869995117},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.647916316986084},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5020754337310791},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46270751953125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42875000834465027},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4163215160369873},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4148673713207245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38360118865966797},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros47612.2022.9981063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9981063","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1995122024","https://openalex.org/W2107448114","https://openalex.org/W2150208481","https://openalex.org/W2264224062","https://openalex.org/W2479935243","https://openalex.org/W2551393996","https://openalex.org/W2783323081","https://openalex.org/W2799015934","https://openalex.org/W2963066629","https://openalex.org/W2967284463","https://openalex.org/W2969275438","https://openalex.org/W3005515410","https://openalex.org/W3016404858","https://openalex.org/W3035574168","https://openalex.org/W3127710810","https://openalex.org/W3130406858","https://openalex.org/W3160009450","https://openalex.org/W3161712289","https://openalex.org/W3164280995","https://openalex.org/W4287330027","https://openalex.org/W4385245566","https://openalex.org/W6682016669","https://openalex.org/W6721527053","https://openalex.org/W6739901393","https://openalex.org/W6776142756","https://openalex.org/W6789961161","https://openalex.org/W6790709279"],"related_works":["https://openalex.org/W2628861693","https://openalex.org/W3203087560","https://openalex.org/W4361279463","https://openalex.org/W2027108423","https://openalex.org/W1855666948","https://openalex.org/W2758561209","https://openalex.org/W1548095260","https://openalex.org/W2781711915","https://openalex.org/W2112817590","https://openalex.org/W1555291398"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"driving":[3,16,61,69,136],"context":[4,62],"perception":[5],"has":[6],"emerged":[7],"as":[8,76,100],"one":[9],"of":[10,68,92,103,135],"the":[11,38,66,122,133],"key":[12],"aspects":[13],"to":[14,27,51,72],"design":[15],"assistance":[17],"algorithms":[18],"and":[19,109,118],"user":[20],"interfaces":[21],"that":[22],"are":[23],"effective":[24],"in":[25],"adapting":[26],"different":[28],"traffic":[29,114],"situations":[30],"or":[31,150],"environments.":[32],"To":[33],"this":[34],"aim,":[35],"we":[36],"introduce":[37],"Anonymous":[39],"Driving":[40],"Scene":[41],"Perception":[42],"(ADSP)":[43],"Model,":[44],"a":[45,87,101],"novel":[46],"deep":[47],"neural":[48],"network":[49],"designed":[50],"classify":[52],"anony-mous":[53],"Controller":[54],"Area":[55],"Network":[56],"(CAN)-bus":[57],"data":[58,98,146],"into":[59],"multiple":[60],"domains.":[63],"ADSP":[64],"extends":[65],"idea":[67],"scene":[70,137],"classification":[71,90,108,138],"time":[73,127],"series":[74,128],"signals,":[75],"previous":[77],"works":[78],"relied":[79],"heavily":[80],"on":[81,94,105,112],"visual":[82],"features.":[83],"Our":[84,130],"model":[85,124],"achieved":[86],"multi":[88],"-domain":[89],"accuracy":[91],"84.9%":[93],"our":[95],"custom-built":[96],"naturalistic":[97],"set,":[99],"combination":[102],"92.7%":[104],"road":[106],"type":[107],"90.1":[110],"%":[111],"binary":[113],"detection,":[115],"performing":[116],"2.0%":[117],"1.6%":[119],"better":[120],"than":[121],"state-of-the-art":[123],"for":[125],"multivariate":[126],"classification.":[129],"work":[131],"demonstrates":[132],"feasibility":[134],"from":[139,147],"anonymous":[140],"CAN-bus":[141],"data,":[142],"without":[143],"collecting":[144],"sensitive":[145],"users":[148],"(images":[149],"GPS).":[151]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}