{"id":"https://openalex.org/W2903014168","doi":"https://doi.org/10.1109/icacci.2018.8554611","title":"Simulation and Deep CNN based architecture for validation of Intelligent automotive functions","display_name":"Simulation and Deep CNN based architecture for validation of Intelligent automotive functions","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2903014168","doi":"https://doi.org/10.1109/icacci.2018.8554611","mag":"2903014168"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2018.8554611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5103080902","display_name":"Parampreet Kaur","orcid":"https://orcid.org/0000-0002-2491-9615"},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Parampreet Kaur","raw_affiliation_strings":["School of Computer Science Engineering, Lovely Professional University, Jalandhar, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science Engineering, Lovely Professional University, Jalandhar, India","institution_ids":["https://openalex.org/I110360157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033745037","display_name":"Rajeev Sobti","orcid":"https://orcid.org/0000-0001-8636-7732"},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajeev Sobti","raw_affiliation_strings":["School of Computer Science Engineering, Lovely Professional University, Jalandhar, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science Engineering, Lovely Professional University, Jalandhar, India","institution_ids":["https://openalex.org/I110360157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005282924","display_name":"Aditya Khamparia","orcid":"https://orcid.org/0000-0001-9019-8230"},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aditva Khamparia","raw_affiliation_strings":["School of Computer Science Engineering, Lovely Professional University, Jalandhar, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science Engineering, Lovely Professional University, Jalandhar, India","institution_ids":["https://openalex.org/I110360157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103080902"],"corresponding_institution_ids":["https://openalex.org/I110360157"],"apc_list":null,"apc_paid":null,"fwci":0.3,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64157308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2344","last_page":"2348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9990000128746033,"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":0.9990000128746033,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9988999962806702,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9988999962806702,"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/automotive-industry","display_name":"Automotive industry","score":0.7601572275161743},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7247447371482849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.709744393825531},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7025585174560547},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6689186692237854},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5869670510292053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5656638145446777},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5602077841758728},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5285750031471252},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.49804067611694336},{"id":"https://openalex.org/keywords/self-driving","display_name":"Self driving","score":0.4282803535461426},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3916715383529663},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3339692950248718},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20442456007003784},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.10102471709251404},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07978576421737671}],"concepts":[{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.7601572275161743},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7247447371482849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.709744393825531},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7025585174560547},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6689186692237854},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5869670510292053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5656638145446777},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5602077841758728},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5285750031471252},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.49804067611694336},{"id":"https://openalex.org/C3018391801","wikidata":"https://www.wikidata.org/wiki/Q741490","display_name":"Self driving","level":2,"score":0.4282803535461426},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3916715383529663},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3339692950248718},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20442456007003784},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.10102471709251404},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07978576421737671},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2018.8554611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2124776405","https://openalex.org/W2166696144","https://openalex.org/W2209541064","https://openalex.org/W2328067583","https://openalex.org/W2342840547","https://openalex.org/W2522025381","https://openalex.org/W2583993537","https://openalex.org/W2590592406","https://openalex.org/W2615131227","https://openalex.org/W2752888628","https://openalex.org/W2753704268","https://openalex.org/W2762525617","https://openalex.org/W2790186304","https://openalex.org/W3040318838","https://openalex.org/W3100944043","https://openalex.org/W3101287485","https://openalex.org/W4229661595","https://openalex.org/W4300124531","https://openalex.org/W6688281627","https://openalex.org/W6734209831","https://openalex.org/W6743730919"],"related_works":["https://openalex.org/W3047375952","https://openalex.org/W4288634015","https://openalex.org/W4382644535","https://openalex.org/W3138110502","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Intelligent":[0],"automotive":[1],"software":[2],"applications":[3,61],"such":[4,62],"as":[5,63,159],"advanced":[6,103],"driver":[7,104],"assistant":[8],"systems":[9],"and":[10,46,66],"self-driving":[11],"cars":[12],"possess":[13],"tremendous":[14],"potential":[15],"to":[16,24,70,113,120],"revitalize":[17],"the":[18,29,32,50,75,99],"transportation":[19,76],"sector.":[20],"Software-enabled":[21],"vehicles":[22,90],"tend":[23],"be":[25,71],"a":[26,85,122,148,160],"game-changer":[27],"on":[28,98,147],"roads,":[30],"transforming":[31],"entire":[33],"structure":[34],"of":[35,44,52,55,102],"driving":[36,89,96,126,139],"which":[37,150],"we":[38],"see":[39],"nowadays.":[40],"The":[41,141],"massive":[42],"use":[43],"sensors":[45],"actuators":[47],"along":[48],"with":[49],"availability":[51],"large":[53],"amounts":[54],"data":[56],"are":[57],"fostering":[58],"artificial":[59],"intelligence":[60],"machine":[64],"learning":[65,68],"deep":[67,116,129],"algorithms":[69],"extensively":[72],"adopted":[73],"in":[74,88],"domain.":[77],"Deep":[78],"convolutional":[79],"neural":[80,117,130],"networks":[81],"(CNN)":[82],"can":[83],"play":[84],"substantial":[86],"role":[87],"autonomously":[91],"without":[92],"human":[93],"intervention.":[94],"Autonomous":[95],"relies":[97],"meticulous":[100],"functioning":[101],"assistance":[105],"systems.":[106],"This":[107],"paper,":[108],"however,":[109],"describes":[110],"an":[111,137],"approach":[112],"utilize":[114],"existing":[115],"network":[118,131],"principles":[119],"construct":[121],"mechanism":[123],"for":[124,136,162],"autonomous":[125],"functions.":[127],"A":[128],"algorithm":[132,143],"has":[133],"been":[134],"proposed":[135],"automated":[138],"scenario.":[140],"designed":[142],"is":[144,157],"then":[145],"evaluated":[146],"simulator":[149,161],"produces":[151],"highly":[152],"effective":[153],"results.":[154],"Unity":[155],"framework":[156],"used":[158],"manually":[163],"providing":[164],"input":[165],"data.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
