{"id":"https://openalex.org/W4313563688","doi":"https://doi.org/10.1145/3551349.3559528","title":"ADEPT: A Testing Platform for Simulated Autonomous Driving","display_name":"ADEPT: A Testing Platform for Simulated Autonomous Driving","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4313563688","doi":"https://doi.org/10.1145/3551349.3559528"},"language":"en","primary_location":{"id":"doi:10.1145/3551349.3559528","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3551349.3559528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering","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":null,"display_name":"Sen Wang","orcid":"https://orcid.org/0000-0002-5993-1665"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sen Wang","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":"https://orcid.org/0000-0002-5993-1665","affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086654051","display_name":"Zhuheng Sheng","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuheng Sheng","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101817758","display_name":"Jingwei Xu","orcid":"https://orcid.org/0000-0003-0407-0797"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwei Xu","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030747944","display_name":"Taolue Chen","orcid":"https://orcid.org/0000-0002-5993-1665"},"institutions":[{"id":"https://openalex.org/I98259816","display_name":"Birkbeck, University of London","ror":"https://ror.org/02mb95055","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I98259816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Taolue Chen","raw_affiliation_strings":["Birkbeck, University of London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birkbeck, University of London, United Kingdom","institution_ids":["https://openalex.org/I98259816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100294767","display_name":"Junjun Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjun Zhu","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101843962","display_name":"Shuhui Zhang","orcid":"https://orcid.org/0000-0001-5017-3207"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhui Zhang","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337338","display_name":"Yuan Yao","orcid":"https://orcid.org/0000-0002-2705-6245"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yao","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041674680","display_name":"Xiaoxing Ma","orcid":"https://orcid.org/0000-0001-7970-1384"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxing Ma","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":1.6648,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86757463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994000196456909,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994000196456909,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9883000254631042,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7432203888893127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7245323657989502},{"id":"https://openalex.org/keywords/adept","display_name":"Adept","score":0.5373797416687012},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.45053431391716003},{"id":"https://openalex.org/keywords/scenario-testing","display_name":"Scenario testing","score":0.44778430461883545},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3996118903160095},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34091150760650635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23837268352508545}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7432203888893127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7245323657989502},{"id":"https://openalex.org/C2776904630","wikidata":"https://www.wikidata.org/wiki/Q356336","display_name":"Adept","level":3,"score":0.5373797416687012},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.45053431391716003},{"id":"https://openalex.org/C80519477","wikidata":"https://www.wikidata.org/wiki/Q3532236","display_name":"Scenario testing","level":3,"score":0.44778430461883545},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3996118903160095},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34091150760650635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23837268352508545},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.0},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.0},{"id":"https://openalex.org/C108215921","wikidata":"https://www.wikidata.org/wiki/Q603741","display_name":"Prodrug","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3551349.3559528","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3551349.3559528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6899999976158142,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2798302089","https://openalex.org/W2891056855","https://openalex.org/W2913362569","https://openalex.org/W2963857521","https://openalex.org/W2969033227","https://openalex.org/W2970679500","https://openalex.org/W3000408052","https://openalex.org/W3003676953","https://openalex.org/W3034445502","https://openalex.org/W3090608524","https://openalex.org/W3119236961","https://openalex.org/W3147029408","https://openalex.org/W3159962636","https://openalex.org/W3183304837","https://openalex.org/W3199060690","https://openalex.org/W3206485866","https://openalex.org/W4225349279","https://openalex.org/W4287641114","https://openalex.org/W4312590724","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W2173729515","https://openalex.org/W2912886476","https://openalex.org/W2070624437","https://openalex.org/W14795822","https://openalex.org/W2413844292","https://openalex.org/W2411501969","https://openalex.org/W2004667645","https://openalex.org/W2523782392","https://openalex.org/W2734968269","https://openalex.org/W2039026541"],"abstract_inverted_index":{"Effective":[0],"quality":[1],"assurance":[2],"methods":[3],"for":[4,33,71],"autonomous":[5,72],"driving":[6,92],"systems":[7],"ADS":[8,53,105],"have":[9],"attracted":[10],"growing":[11],"interests":[12],"recently.":[13],"In":[14,60],"this":[15],"paper,":[16],"we":[17,75,84,95],"report":[18],"a":[19],"new":[20],"testing":[21,31,47],"platform":[22],"ADEPT,":[23],"aiming":[24],"to":[25,89,112],"provide":[26],"practically":[27],"realistic":[28],"and":[29,44,57,108],"comprehensive":[30],"facilities":[32,48],"DNN-based":[34],"ADS.":[35],"ADEPT":[36,62],"is":[37],"based":[38],"on":[39],"the":[40,102,120,123],"virtual":[41],"simulator":[42],"CARLA":[43],"provides":[45],"numerous":[46],"such":[49],"as":[50],"scene":[51],"construction,":[52],"importation,":[54],"test":[55,66,115],"execution":[56],"recording,":[58],"etc.":[59],"particular,":[61],"features":[63],"two":[64],"distinguished":[65],"scenario":[67],"generation":[68],"strategies":[69],"designed":[70],"driving.":[73],"First,":[74],"make":[76],"use":[77],"of":[78,104,122],"real-life":[79],"accident":[80],"reports":[81],"from":[82],"which":[83],"leverage":[85],"natural":[86],"language":[87],"processing":[88],"fabricate":[90],"abundant":[91],"scenarios.":[93,116],"Second,":[94],"synthesize":[96],"physically-robust":[97],"adversarial":[98],"attacks":[99],"by":[100],"taking":[101],"feedback":[103],"into":[106],"consideration":[107],"thus":[109],"are":[110],"able":[111],"generate":[113],"closed-loop":[114],"The":[117],"experiments":[118],"confirm":[119],"efficacy":[121],"platform.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}