{"id":23250,"date":"2023-09-26T08:04:15","date_gmt":"2023-09-26T06:04:15","guid":{"rendered":"https:\/\/autoklastr.cz\/cs\/?p=23250"},"modified":"2023-10-02T08:28:21","modified_gmt":"2023-10-02T06:28:21","slug":"technologie-umele-inteligence-ma-zasadni-vyznam-pro-vyvoj-softwaru-vozidla","status":"publish","type":"post","link":"https:\/\/autoklastr.cz\/cs\/technologie-umele-inteligence-ma-zasadni-vyznam-pro-vyvoj-softwaru-vozidla\/","title":{"rendered":"Technologie um\u011bl\u00e9 inteligence m\u00e1 z\u00e1sadn\u00ed v\u00fdznam pro v\u00fdvoj softwaru vozidla"},"content":{"rendered":"

V\u00fdvoj softwaru ve vozidle je st\u00e1le slo\u017eit\u011bj\u0161\u00ed. Spot\u0159ebitel\u00e9 ji\u017e neo\u010dek\u00e1vaj\u00ed, \u017ee vozidlo z\u016fstane po celou dobu sv\u00e9 \u017eivotnosti stejn\u00e9, ale \u017ee jeho software bude pravideln\u011b aktualizov\u00e1n o nov\u00e9 funkce. Nov\u00e9 technologie, jako je autonomn\u00ed \u0159\u00edzen\u00ed, nav\u00edc vy\u017eaduj\u00ed rozs\u00e1hl\u00e9 testov\u00e1n\u00ed, ne\u017e mohou b\u00fdt bezpe\u010dn\u011b zavedeny. To vytv\u00e1\u0159\u00ed velk\u00fd tlak na v\u00fdvoj\u00e1\u0159e – ostatn\u011b GM ozn\u00e1mil, \u017ee v roce 2022 pl\u00e1nuje p\u0159ijmout 8 000 nov\u00fdch softwarov\u00fdch specialist\u016f. To v\u0161ak nemus\u00ed b\u00fdt n\u00e1kladov\u011b nejefektivn\u011bj\u0161\u00ed \u0159e\u0161en\u00ed.<\/strong><\/p>\n

„V\u00fdvoj\u00e1\u0159i nemohou jednodu\u0161e pracovat jako p\u0159ed 15 lety,“ tvrd\u00ed Sam Abuelsamid, hlavn\u00ed analytik pro v\u00fdzkum mobiln\u00edch ekosyst\u00e9m\u016f ve spole\u010dnosti Guidehouse Insights. Ve sv\u00e9m vystoupen\u00ed na webin\u00e1\u0159i Mobex „P\u0159ekon\u00e1n\u00ed probl\u00e9m\u016f p\u0159i v\u00fdvoji softwaru pomoc\u00ed um\u011bl\u00e9 inteligence“ tvrd\u00ed, \u017ee technologie um\u011bl\u00e9 inteligence (AI) by naopak mohly p\u0159isp\u011bt k zefektivn\u011bn\u00ed v\u00fdvoje softwaru. Mezi slibn\u00e9 oblasti pat\u0159\u00ed usnadn\u011bn\u00ed p\u0159echodu na nov\u00e9 architektury vozidel, urychlen\u00ed v\u00fdvoje softwaru ve vozidlech a zaji\u0161t\u011bn\u00ed d\u016fkladn\u00e9ho testov\u00e1n\u00ed funkc\u00ed d\u016fle\u017eit\u00fdch pro bezpe\u010dnost, jako jsou syst\u00e9my autonomn\u00edho \u0159\u00edzen\u00ed.<\/p>\n

V\u00fdvoj softwaru<\/h3>\n

Software ve vozidle byl tradi\u010dn\u011b rozd\u011blen mezi mnoho elektronicky \u0159\u00eddic\u00edch jednotek (ECU), kter\u00e9 spolu jen z\u0159\u00eddkakdy pot\u0159ebovaly komunikovat.\u202fDnes jsou vysp\u011bl\u00e1 luxusn\u00ed vozidla, jako je BMW \u0159ady 7, vybavena pokro\u010dil\u00fdmi asisten\u010dn\u00edmi syst\u00e9my \u0159idi\u010de (ADAS), kter\u00e9 vy\u017eaduj\u00ed a\u017e 150 distribuovan\u00fdch \u0159\u00eddic\u00edch jednotek. „M\u00e1me st\u00e1le slo\u017eit\u011bj\u0161\u00ed softwarov\u00e9 syst\u00e9my – roste pot\u0159eba, aby architektura byla mnohem pevn\u011bj\u0161\u00ed,“ poznamen\u00e1v\u00e1 Oren Sokoler, technick\u00fd \u0159editel spole\u010dnosti Aurora Labs.<\/p>\n

Proto doch\u00e1z\u00ed k rostouc\u00edmu posunu sm\u011brem k modern\u00edm elektrotechnick\u00fdm a elektronick\u00fdm (E\/E) architektur\u00e1m, kter\u00e9 jsou centralizovan\u00e9 a vy\u017eaduj\u00ed podstatn\u011b m\u00e9n\u011b ECU. V tomto p\u0159\u00edstupu je mnoho d\u0159\u00edve nez\u00e1visl\u00fdch aplikac\u00ed integrov\u00e1no jako mikroprocesory do v\u011bt\u0161\u00edho softwarov\u00e9ho z\u00e1sobn\u00edku. To sice zefektiv\u0148uje v\u00fdvoj, ale komplikuje proces odstra\u0148ov\u00e1n\u00ed probl\u00e9m\u016f. Mnoho proces\u016f se vz\u00e1jemn\u011b propojuje a p\u0159ekr\u00fdv\u00e1, co\u017e zt\u011b\u017euje ur\u010den\u00ed hlavn\u00ed p\u0159\u00ed\u010diny chyby. „Syst\u00e9my obvykle selh\u00e1vaj\u00ed v m\u00edstech interakce,“ \u0159\u00edk\u00e1 Sokoler.<\/p>\n

\u00a0\"Factory\"<\/p>\n

V\u00fdvoj\u00e1\u0159i a in\u017een\u00fd\u0159i automobilov\u00e9ho softwaru se pot\u00fdkaj\u00ed s v\u00fdzvami v oblasti agility, ale technologie um\u011bl\u00e9 inteligence by v tomto ohledu mohly b\u00fdt transforma\u010dn\u00ed<\/em><\/p>\n

P\u0159edpokl\u00e1d\u00e1, \u017ee \u0159e\u0161en\u00edm by mohl b\u00fdt n\u00e1stroj funguj\u00edc\u00ed stejn\u011b jako syst\u00e9my magnetick\u00e9 rezonance (MRI), kter\u00e9 vizu\u00e1ln\u011b sn\u00edmaj\u00ed lidsk\u00e9 t\u011blo. „Valida\u010dn\u00ed syst\u00e9m s um\u011blou inteligenc\u00ed se m\u016f\u017ee na tento stoh pod\u00edvat z vysok\u00e9 \u00farovn\u011b, vizualizovat v\u0161echny body interakce a identifikovat, kde jsou chyby.“ To by v\u00fdvoj\u00e1\u0159\u016fm umo\u017enilo „proniknout“ a\u017e ke ko\u0159en\u016fm chyby, kde by mohly nastoupit dal\u0161\u00ed n\u00e1stroje, co\u017e by u\u0161et\u0159ilo zna\u010dn\u00e9 mno\u017estv\u00ed \u00fasil\u00ed na po\u010d\u00e1tku.<\/p>\n

Asistence v nep\u0159etr\u017eit\u00fdch procesech<\/h3>\n

P\u0159i p\u0159echodu na kombinovan\u00fd softwarov\u00fd stack se objevuj\u00ed dal\u0161\u00ed probl\u00e9my. „P\u0159ech\u00e1z\u00edme od tradi\u010dn\u00edho my\u0161len\u00ed, \u017ee jakmile se vozidlo prod\u00e1, u\u017e se vlastn\u011b nem\u011bn\u00ed, k my\u0161len\u00ed, kdy se vozidlo neust\u00e1le vyv\u00edj\u00ed s nov\u00fdmi aktualizacemi,“ \u0159\u00edk\u00e1 Abuelsamid. To znamen\u00e1, \u017ee v\u00fdvojov\u00e9 t\u00fdmy mus\u00ed postupovat velmi agiln\u011b, proto\u017ee drobn\u00e9 komplikace by mohly v\u00e9st k v\u00fdrazn\u00e9mu zpo\u017ed\u011bn\u00ed.<\/p>\n

Spole\u010dnost Aurora Labs v\u011b\u0159\u00ed, \u017ee \u00fa\u010dinnost n\u00e1stroj\u016f AI v kontextu kontinu\u00e1ln\u00ed integrace a kontinu\u00e1ln\u00edho nasazen\u00ed (CI\/CD) m\u016f\u017ee tuto agilitu zajistit. V r\u00e1mci CI\/CD jsou mal\u00e9 segmenty k\u00f3du automaticky dod\u00e1v\u00e1ny do automatizovan\u00fdch testovac\u00edch a v\u00fdvojov\u00fdch prost\u0159ed\u00ed a n\u00e1sledn\u011b umis\u0165ov\u00e1ny do produkce, co\u017e vede k mnoha rychl\u00fdm nasazen\u00edm. To znamen\u00e1, \u017ee aktualizace lze testovat a aplikovat rychleji ne\u017e p\u0159i manu\u00e1ln\u00edm p\u0159\u00edstupu. „Hlavn\u00edm hlediskem agiln\u00ed metodiky je d\u011blat v\u011bci po mal\u00fdch kroc\u00edch,“ poznamen\u00e1v\u00e1 Sokoler.<\/p>\n

Dal\u0161\u00ed oblast\u00ed, kter\u00e9 mus\u00ed v\u00fdvoj\u00e1\u0159i v\u011bnovat zna\u010dn\u00e9 mno\u017estv\u00ed \u010dasu, je dokumentace. Abuelsamid se domn\u00edv\u00e1, \u017ee se jedn\u00e1 o rostouc\u00ed probl\u00e9m kv\u016fli zv\u00fd\u0161en\u00e9 \u010detnosti a slo\u017eitosti aktualizac\u00ed. Homologace mus\u00ed prob\u00edhat pravideln\u011b. „M\u016f\u017ee to b\u00fdt ka\u017ed\u00fdch n\u011bkolik m\u011bs\u00edc\u016f – nebo dokonce t\u00fddn\u016f“.<\/p>\n

\u0158e\u0161en\u00ed nab\u00edzej\u00ed n\u00e1stroje pro zpracov\u00e1n\u00ed p\u0159irozen\u00e9ho jazyka (NLP). „Domn\u00edv\u00e1me se, \u017ee pomoc\u00ed n\u00e1stroj\u016f NLP m\u016f\u017eeme odvodit syst\u00e9mov\u00e9 po\u017eadavky a n\u00e1sledn\u011b je propojit se samotn\u00fdm k\u00f3dem,“ uv\u00e1d\u00ed. N\u00e1stroj by tyto dva nesourod\u00e9 prvky propojil a prezentoval dohromady rychleji ne\u017e lidsk\u00fd in\u017een\u00fdr. Sokoler v\u011b\u0159\u00ed, \u017ee 90 % tohoto procesu lze automatizovat a na in\u017een\u00fdrech z\u016fstane pouze kontrola p\u0159esnosti.<\/p>\n

Zefektivn\u011bn\u00ed automatizace<\/h3>\n

Software ve vozidle bude v budoucnu jen slo\u017eit\u011bj\u0161\u00ed. \u010c\u00e1ste\u010dn\u011b je to zp\u016fsobeno zav\u00e1d\u011bn\u00edm syst\u00e9m\u016f autonomn\u00edho \u0159\u00edzen\u00ed. Podle zpr\u00e1vy spole\u010dnosti McKinsey z ledna 2023 bude do roku 2035 a\u017e 37 % vozidel obsahovat syst\u00e9m ADAS. Vzhledem k tomu, \u017ee syst\u00e9m ADAS je funkc\u00ed kritickou z hlediska bezpe\u010dnosti, mus\u00ed b\u00fdt testov\u00e1n\u00ed co nejkomplexn\u011bj\u0161\u00ed.<\/p>\n

„Po\u010det mo\u017en\u00fdch sc\u00e9n\u00e1\u0159\u016f, kter\u00e9 mus\u00edme ov\u011b\u0159it, je na jin\u00e9 \u00farovni,“ \u0159\u00edk\u00e1 Abuelsamid. „Rekurzivn\u00ed testov\u00e1n\u00ed se mus\u00ed prov\u00e1d\u011bt ka\u017ed\u00fd t\u00fdden. Je toho prost\u011b p\u0159\u00edli\u0161 mnoho – mus\u00edte to automatizovat.“ Generativn\u00ed um\u011bl\u00e1 inteligence je schopna na z\u00e1klad\u011b vstupn\u00edch dat vygenerovat tolik testovac\u00edch sc\u00e9n\u00e1\u0159\u016f, kolik je pot\u0159eba, ale mus\u00ed b\u00fdt napojena na n\u00e1stroj, kter\u00fd automaticky testuje vozidlo ve zm\u00edn\u011bn\u00fdch sc\u00e9n\u00e1\u0159\u00edch.<\/p>\n

V b\u00edl\u00e9 knize spole\u010dnosti Aurora Labs „P\u011bt v\u00fdzev pro v\u00fdvoj softwaru v automobilov\u00e9m pr\u016fmyslu a jak je \u0159e\u0161\u00ed um\u011bl\u00e1 inteligence“ Akshay Sheorey, mana\u017eer obchodn\u00edho rozvoje pro autonomn\u00ed vozidla ve spole\u010dnosti Siemens, poznamen\u00e1v\u00e1, \u017ee „re\u00e1ln\u00e9 prost\u0159ed\u00ed je tak nekone\u010dn\u011b prom\u011bnliv\u00e9, \u017ee nechcete nechat mezery a testov\u00e1n\u00ed vy\u017eaduje spoustu zdroj\u016f.“ Sokoler jde d\u00e1le a uv\u00e1d\u00ed, \u017ee procesy testov\u00e1n\u00ed mohou b\u00fdt exponenci\u00e1ln\u011b slo\u017eit\u011bj\u0161\u00ed ne\u017e samotn\u00fd syst\u00e9m ADAS. Jako takov\u00e9 je lze prov\u00e1d\u011bt pouze pomoc\u00ed um\u011bl\u00e9 inteligence.<\/p>\n

Rychl\u00fd n\u00e1r\u016fst slo\u017eitosti znamen\u00e1, \u017ee v\u00fdvoj\u00e1\u0159i \u010del\u00ed zna\u010dn\u00fdm v\u00fdzv\u00e1m p\u0159i dod\u00e1v\u00e1n\u00ed i \u00fadr\u017eb\u011b softwaru pro vozidla budoucnosti. Pro \u00fasp\u011bch bude rozhoduj\u00edc\u00ed agilita a kompletn\u00ed sada n\u00e1stroj\u016f um\u011bl\u00e9 inteligence by mohla automobilov\u00fd pr\u016fmysl vybavit pro budoucnost. Pokud v\u00fdvoj\u00e1\u0159i dok\u00e1\u017eou do sv\u00e9ho procesu v\u00fdvoje softwaru za\u010dlenit technologie, jako je NLP a generativn\u00ed AI, pak v\u00fdrazn\u011b zv\u00fd\u0161\u00ed rychlost, s jakou mohou dod\u00e1vat nov\u00e9 produkty, uzav\u00edr\u00e1 Sokoler.<\/p>\n

 <\/p>\n

Zdroj: automotiveworld.com<\/p>\n

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V\u00fdvoj softwaru ve vozidle je st\u00e1le slo\u017eit\u011bj\u0161\u00ed. Spot\u0159ebitel\u00e9 ji\u017e neo\u010dek\u00e1vaj\u00ed, \u017ee vozidlo z\u016fstane po celou dobu sv\u00e9 \u017eivotnosti stejn\u00e9, ale \u017ee jeho software bude pravideln\u011b aktualizov\u00e1n o nov\u00e9 funkce. Nov\u00e9 technologie, jako je autonomn\u00ed \u0159\u00edzen\u00ed, nav\u00edc vy\u017eaduj\u00ed rozs\u00e1hl\u00e9 testov\u00e1n\u00ed, ne\u017e mohou b\u00fdt bezpe\u010dn\u011b zavedeny. To vytv\u00e1\u0159\u00ed velk\u00fd tlak na v\u00fdvoj\u00e1\u0159e – ostatn\u011b GM ozn\u00e1mil, \u017ee […]<\/p>\n","protected":false},"author":81,"featured_media":23251,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"kategorie_prispevku":[],"acf":[],"yoast_head":"\nTechnologie um\u011bl\u00e9 inteligence m\u00e1 z\u00e1sadn\u00ed v\u00fdznam pro v\u00fdvoj softwaru vozidla | Autoklastr<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/autoklastr.cz\/cs\/technologie-umele-inteligence-ma-zasadni-vyznam-pro-vyvoj-softwaru-vozidla\/\" \/>\n<meta property=\"og:locale\" content=\"cs_CZ\" \/>\n<meta property=\"og:locale:alternate\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Technologie um\u011bl\u00e9 inteligence m\u00e1 z\u00e1sadn\u00ed v\u00fdznam pro v\u00fdvoj softwaru vozidla\" \/>\n<meta property=\"og:description\" content=\"V\u00fdvoj softwaru ve vozidle je st\u00e1le slo\u017eit\u011bj\u0161\u00ed. 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