Volvo Cars, s\u00fcr\u00fc\u015f destek sistemleri (ADAS) gibi g\u00fcvenlik yaz\u0131l\u0131mlar\u0131n\u0131 daha h\u0131zl\u0131 ve
etkili bir \u015fekilde geli\u015ftirmek amac\u0131yla yapay zek\u00e2 destekli sanal ortamlar\u0131 kullan\u0131yor.
Bu \u00e7al\u0131\u015fmalarla daha da g\u00fcvenli otomobiller \u00fcretmeyi hedefliyor.<\/p>\n\n\n\n
Volvo Cars\u2019\u0131n yeni nesil otomobillerinde bulunan geli\u015fmi\u015f sens\u00f6rler, acil durum frenlemeleri, sert
direksiyon hareketleri veya manuel m\u00fcdahaleler gibi s\u00fcr\u00fc\u015fle ilgili \u00f6nemli verileri toplayabiliyor.
Bu veriler, olaylar\u0131n farkl\u0131 a\u00e7\u0131lardan analiz edilmesini, yeniden olu\u015fturulmas\u0131n\u0131 ve incelenmesini
m\u00fcmk\u00fcn k\u0131larak kazalar\u0131n nas\u0131l \u00f6nlenebilece\u011fine dair daha derin bir anlay\u0131\u015f ve veri sa\u011fl\u0131yor.
Bu \u00e7al\u0131\u015fmada, “Gaussian Splatting” ad\u0131 verilen ileri d\u00fczey bir hesaplama tekni\u011fi kullan\u0131l\u0131yor. S\u00f6z
konusu teknik, ger\u00e7ek d\u00fcnya g\u00f6rsellerinden y\u00fcksek do\u011frulukta ve b\u00fcy\u00fck \u00f6l\u00e7ekli 3D sahneler
\u00fcretebiliyor. Sanal ortamlar, trafik ak\u0131\u015f\u0131n\u0131 de\u011fi\u015ftirme, yol kullan\u0131c\u0131lar\u0131n\u0131 ekleyip \u00e7\u0131karma veya engellerin
davran\u0131\u015flar\u0131n\u0131 d\u00fczenleme gibi de\u011fi\u015fikliklere olanak tan\u0131yarak farkl\u0131 senaryolar\u0131n olu\u015fturulmas\u0131n\u0131
sa\u011fl\u0131yor.
Bu teknoloji, g\u00fcvenlik yaz\u0131l\u0131mlar\u0131n\u0131n geni\u015f \u00e7apta ve y\u00fcksek h\u0131zda test edilmesine olanak tan\u0131yor. Daha
\u00f6nce aylar s\u00fcrebilecek u\u00e7 senaryolara y\u00f6nelik testler, g\u00fcnler i\u00e7inde ger\u00e7ekle\u015ftirilebiliyor. Bu sayede,
nadir ancak potansiyel olarak tehlikeli durumlara kar\u015f\u0131 daha dayan\u0131kl\u0131 sistemler geli\u015ftirilebiliyor.
Volvo Cars’ta K\u00fcresel Yaz\u0131l\u0131m M\u00fchendisli\u011fi Ba\u015fkan\u0131 Alwin Bakkenes \u201cYaz\u0131l\u0131m\u0131m\u0131z\u0131 geli\u015ftirmek i\u00e7in
kulland\u0131\u011f\u0131m\u0131z, hi\u00e7 ya\u015fanmam\u0131\u015f olaylardan olu\u015fan milyonlarca veri noktas\u0131na sahibiz.
Gaussian Splatting y\u00f6ntemi sayesinde nadir \u00f6zel durumlardan birini se\u00e7ip senaryoyu binlerce yeni
versiyona b\u00f6lerek modellerimizi e\u011fitebiliyor ve do\u011frulayabiliyoruz. Bu, daha \u00f6nce hi\u00e7 g\u00f6rmedi\u011fimiz bir
\u00f6l\u00e7ekte i\u015flem yapmam\u0131za ve hatta ger\u00e7ek d\u00fcnyada olu\u015fmadan \u00f6nce u\u00e7 durumlar\u0131 belirlememize olanak sa\u011fl\u0131yor\u201d a\u00e7\u0131klamas\u0131nda bulundu.<\/p>\n\n\n\n
Bulmacan\u0131n bir par\u00e7as\u0131
Volvo Cars, g\u00fcvenlik yaz\u0131l\u0131mlar\u0131n\u0131 hem sanal ortamlar hem de ger\u00e7ek d\u00fcnya testleriyle geli\u015ftiriyor.
Sanal ortamlarda yap\u0131lan testler, g\u00fcvenli, \u00f6l\u00e7eklenebilir ve maliyet a\u00e7\u0131s\u0131ndan verimli \u00e7\u00f6z\u00fcmler
sunarken, Volvo Cars\u2019\u0131n yapay zeka ve yaz\u0131l\u0131m \u015firketi olan Zenseact ile i\u015f birli\u011fi sayesinde bu
ortamlar daha da ileri ta\u015f\u0131n\u0131yor.
Bu proje, yapay sinir a\u011flar\u0131n\u0131 kullanan bir g\u00f6rselle\u015ftirme y\u00f6ntemi olan Neural rendering tekniklerinin
gelecekteki g\u00fcvenlik giri\u015fimlerine entegre edilip edilmeyece\u011fini ara\u015ft\u0131rmak \u00fczere \u0130sve\u00e7\u2019in \u00f6nde gelen
\u00fcniversitelerinde y\u00fcr\u00fct\u00fclen bir doktora program\u0131n\u0131n par\u00e7as\u0131. Bu \u00e7al\u0131\u015fma Wallenberg AI, Autonomous
Systems and Software Program (WASP) sponsorlu\u011funda y\u00fcr\u00fct\u00fcl\u00fcyor.<\/p>\n\n\n\n
<\/p>\n\n\n\n
Volvo Car Turkey | FSM Mah. Poligon Cad. Buyaka 2. Kule Kat: 4 Tepe\u00fcst\u00fc \u00dcmraniye | 34771 \u0130stanbul
G\u00fcvenli\u011fi art\u0131rmak \u00fczere veri kullan\u0131m\u0131n\u0131n ge\u00e7mi\u015fi
Volvo Cars, g\u00fcvenli\u011fi art\u0131rmak i\u00e7in veriye dayal\u0131 \u00e7al\u0131\u015fmalara uzun y\u0131llard\u0131r \u00f6nc\u00fcl\u00fck ediyor.
1970’lerden bu yana Volvo Cars\u2019\u0131n g\u00fcvenlik ara\u015ft\u0131rmalar\u0131 ekibi g\u00fcvenli\u011fi art\u0131rmak \u00fczere toplad\u0131klar\u0131 bu
verilerden yararlan\u0131yor. Ekip, ilk etapta kaza yerine metrelerle gelerek, lastik izlerini ve di\u011fer \u00e7arp\u0131\u015fma
verilerini de\u011ferlendiriyordu. Kazalardan elde edilen s\u00f6z konusu veriler ve bilgiler, K\u0131rba\u00e7 Etkisi
Yaralanma \u00d6nleme Sistemi ve Yandan Darbe Koruma Sistemi gibi \u00e7ok say\u0131da hayat kurtaran
yeniliklere \u00f6nc\u00fcl\u00fck etti. Volvo Cars, yeni ve ileri teknolojiler sayesinde art\u0131k verileri daha ak\u0131ll\u0131ca
kullanarak riskli durumlar\u0131n \u00f6n\u00fcne ge\u00e7ebiliyor.
NVIDIA teknolojisinin entegrasyonu
Volvo Cars, NVIDIA ile yak\u0131n zamanda geni\u015fletti\u011fi i\u015f birli\u011fi sayesinde Gauss Splatting gibi teknolojileri
daha yak\u0131ndan ara\u015ft\u0131rabilecek. Yeni nesil tamamen elektrikli Volvo modelleri, NVIDIA h\u0131zl\u0131 bilgisayar
teknolojisiyle destekleniyor ve farkl\u0131 sens\u00f6rlerden veri toplayarak otomobilin i\u00e7inde ve \u00e7evresinde olup
biteni her zamankinden daha iyi anl\u0131yor. NVIDIA DGX, sistemleriyle desteklenen bir yapay zek\u00e2 s\u00fcper
bilgi i\u015flem platformu, verileri i\u015fleyerek gelecekteki g\u00fcvenlik modellerinin geli\u015ftirilmesine katk\u0131 sa\u011fl\u0131yor..
Bu platform yapay zek\u00e2 \u00e7\u00f6z\u00fcmlerinin daha h\u0131zl\u0131 ve verimli geli\u015fmesine imkan tan\u0131yor. Ayn\u0131 zamanda
Volvo Cars ve Zenseact’\u0131n \u0130skandinavya\u2019n\u0131n en b\u00fcy\u00fck veri merkezlerinden birini kurmak i\u00e7in yapt\u0131\u011f\u0131
en g\u00fcncel yat\u0131r\u0131m\u0131n bir par\u00e7as\u0131.<\/p>\n\n\n\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Volvo Cars, s\u00fcr\u00fc\u015f destek sistemleri (ADAS) gibi g\u00fcvenlik yaz\u0131l\u0131mlar\u0131n\u0131 daha h\u0131zl\u0131 veetkili bir \u015fekilde geli\u015ftirmek amac\u0131yla yapay zek\u00e2 destekli 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