{"id":"https://openalex.org/W4407197221","doi":"https://doi.org/10.1145/3669940.3707261","title":"AnA: An Attentive Autonomous Driving System","display_name":"AnA: An Attentive Autonomous Driving System","publication_year":2025,"publication_date":"2025-02-06","ids":{"openalex":"https://openalex.org/W4407197221","doi":"https://doi.org/10.1145/3669940.3707261"},"language":"en","primary_location":{"id":"doi:10.1145/3669940.3707261","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3669940.3707261","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3669940.3707261","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026240192","display_name":"Wonkyo Choe","orcid":"https://orcid.org/0000-0002-7799-9946"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wonkyo Choe","raw_affiliation_strings":["University of Virginia, Charlottesville, USA"],"raw_orcid":"https://orcid.org/0000-0002-7799-9946","affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048451933","display_name":"Rongxiang Wang","orcid":"https://orcid.org/0009-0002-6029-5317"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rongxiang Wang","raw_affiliation_strings":["University of Virginia, Charlottesville, USA"],"raw_orcid":"https://orcid.org/0009-0002-6029-5317","affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059911380","display_name":"Felix Xiaozhu Lin","orcid":"https://orcid.org/0009-0000-0081-6411"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Felix Xiaozhu Lin","raw_affiliation_strings":["University of Virginia, Charlottesville, USA"],"raw_orcid":"https://orcid.org/0009-0000-0081-6411","affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026240192"],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01614711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"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":0.9998000264167786,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9990000128746033,"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":0.9984999895095825,"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":0.6299982666969299},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3853186368942261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3435176610946655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6299982666969299},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3853186368942261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3435176610946655}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3669940.3707261","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3669940.3707261","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3669940.3707261","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3669940.3707261","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2005354226","https://openalex.org/W2102605133","https://openalex.org/W2107338474","https://openalex.org/W2192586580","https://openalex.org/W2206222117","https://openalex.org/W2268908809","https://openalex.org/W2343568200","https://openalex.org/W2560609797","https://openalex.org/W2747329762","https://openalex.org/W2791175987","https://openalex.org/W2795890722","https://openalex.org/W2798786289","https://openalex.org/W2946231253","https://openalex.org/W2953303875","https://openalex.org/W2955189650","https://openalex.org/W2963150697","https://openalex.org/W2964241181","https://openalex.org/W2982135357","https://openalex.org/W2998414876","https://openalex.org/W3034314779","https://openalex.org/W3034971973","https://openalex.org/W3101263752","https://openalex.org/W3101604926","https://openalex.org/W3107620440","https://openalex.org/W3109915642","https://openalex.org/W3116033737","https://openalex.org/W3191321386","https://openalex.org/W3206225415","https://openalex.org/W3210311771","https://openalex.org/W4206706211","https://openalex.org/W4221085920","https://openalex.org/W4283718346","https://openalex.org/W4283725727","https://openalex.org/W4283733277","https://openalex.org/W4285102474","https://openalex.org/W4285150423","https://openalex.org/W4312500310"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"an":[1,91],"autonomous":[2],"driving":[3,12,25,48,106,110,134],"system":[4,63],"(ADS),":[5],"the":[6,17,41,47,53,75],"perception":[7,18,45,54,95],"module":[8],"is":[9,34],"crucial":[10],"to":[11,24,28,35,77,90,118,140],"safety":[13],"and":[14,58],"efficiency.":[15],"Unfortunately,":[16],"in":[19,50,81],"today's":[20],"ADS":[21,37,42],"remains":[22],"oblivious":[23],"decisions,":[26],"contrasting":[27],"how":[29],"humans":[30],"drive.":[31],"Our":[32],"idea":[33],"refactor":[36],"so":[38],"that":[39,87,147],"(1)":[40,70],"guides":[43],"its":[44,79,141],"with":[46,66,105],"knowledge":[49],"situ;":[51],"(2)":[52,83],"differentiates":[55],"between":[56],"awareness":[57],"attention.":[59],"We":[60,136],"propose":[61],"a":[62,71,84,98,144],"called":[64],"AnA":[65,112],"three":[67],"novel":[68],"mechanisms:":[69],"query":[72,85],"interface":[73],"for":[74,100],"planning":[76],"express":[78],"interest":[80],"perception;":[82],"executor":[86],"maps":[88],"queries":[89],"optimal":[92],"set":[93],"of":[94],"tasks;":[96],"(3)":[97],"monitor":[99],"handling":[101],"abnormal":[102],"task":[103],"executions":[104],"knowledge.":[107],"On":[108],"challenging":[109],"benchmarks,":[111],"outperforms":[113],"competitive":[114],"baselines:":[115],"it":[116,126],"responds":[117],"adversarial":[119],"events":[120],"timely,":[121],"reducing":[122],"collisions":[123],"by":[124,130],"2x;":[125],"reduces":[127],"compute":[128],"usage":[129],"44%":[131],"without":[132],"compromising":[133],"safety.":[135],"attribute":[137],"AnA's":[138],"efficacy":[139],"attentive":[142],"driving,":[143],"human-like":[145],"behavior":[146],"improves":[148],"resource":[149],"proportionality.":[150]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}